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@ -1,5 +1,3 @@
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(本文共两处译注)
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一个免费、安全、跨平台的密码管理器
|
||||
======
|
||||
|
||||
@ -7,17 +5,17 @@
|
||||
|
||||
在这个现代化的互联网时代，你一定在许多网站上有多个账户，它可能是个人或官方邮箱账户、社交或专业网络账户、GitHub 账户和电子商务账户等。因此，对于不同的账户，你应该设置多个不同的密码。我相信你应该已经意识到为多个账户设置相同的密码是件疯狂又危险的事情。如果攻击者设法破解了你的一个账户，那么他/她很可能尝试使用相同的密码访问你的其他账户。所以，**强烈建议为不同的账户设置不同的密码**。
|
||||
|
||||
不过，记住好几个密码是很困难的。你可以把它们写在纸上，但那也不是一个有效的方法，你可能会在一段时间后失去它们。这时密码管理器就派上用场了。密码管理器就像一个存储库，你可以在其中存储不同账户的所有密码，并用一个主密码将其锁定。这样，你需要记住的就只剩下主密码了。之前我们介绍过一个叫 [**KeeWeb**][1] 的开源密码管理器，今天，我们将介绍另外一款密码管理器———**Buttercup**。
|
||||
不过，记住好几个密码是很困难的。你可以把它们写在纸上，但那也不是一个有效的方法，你可能会在一段时间后失去它们。这时密码管理器就派上用场了。密码管理器就像一个存储库，你可以在其中存储不同账户的所有密码，并用一个主密码将其锁定。这样，你需要记住的就只剩下主密码了。之前我们介绍过一个叫 [KeeWeb][1] 的开源密码管理器，今天，我们将介绍另外一款密码管理器 ——— Buttercup。
|
||||
|
||||
### 关于 Buttercup
|
||||
|
||||
Buttercup 是一个免费、开源、安全、跨平台的使用 **NodeJS** 编写的密码管理器。它可以帮助你将不同账户的所有登录凭证存储到加密存档中，该存档可以保存在本地系统或任何远程服务（如 DropBox、OwnCloud、NextCloud 和基于 WebDAV 的服务）中。它使用强大的 **256 位 AES 加密算法**，用主密码保存你的敏感数据。所以，除了拥有主密码的人以外，没有人可以访问你的登录信息。Buttercup 目前支持 Linux、Mac OS 和 Windows，还提供了一个浏览器扩展和移动应用程序。因此，你也可以在 Android 和 iOS 设备中的桌面应用程序和浏览器扩展程序中使用相同的存档。
|
||||
Buttercup 是一个自由、开源、安全、跨平台的密码管理器，使用 **NodeJS** 编写。它可以帮助你将不同账户的所有登录凭证存储到加密存档中，该存档可以保存在本地系统或任何远程服务（如 DropBox、OwnCloud、NextCloud 和基于 WebDAV 的服务）中。它使用强大的 **256 位 AES 加密算法**，用主密码保存你的敏感数据。所以，除了拥有主密码的人以外，没有人可以访问你的登录信息。Buttercup 目前支持 Linux、Mac OS 和 Windows，还提供了一个浏览器扩展和移动应用程序。因此，你也可以在 Android 和 iOS 设备中的桌面应用程序和浏览器扩展程序中使用相同的存档。
|
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|
||||
### 安装 Buttercup 密码管理器
|
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|
||||
（译注：此处没有找到合适的语言翻译）Buttercup 目前可作为 .deb、.rpm 软件包、便携式 AppImage 和用于 Linux 平台的 tar 归档文件使用。转到 [**releases pages**][2] 下载安装你想要的版本。
|
||||
Buttercup 目前在 Linux 平台上有 .deb、.rpm 软件包、可移植的 AppImage 和 tar 归档文件等安装包。转到其 [发布页][2] 下载安装你想要的版本。
|
||||
|
||||
Buttercup 桌面应用程序在 [**AUR**][3] 中也可用，你可以使用 AUR 帮助程序（如 [**Yay**][4]）在基于 Arch 的系统上安装，如下所示：
|
||||
Buttercup 桌面应用程序在 [AUR][3] 中也可用，你可以使用 AUR 帮助程序（如 [Yay][4]）在基于 Arch 的系统上安装，如下所示：
|
||||
|
||||
```
|
||||
$ yay -S buttercup-desktop
|
||||
@ -35,21 +33,23 @@ $ chmod +x buttercup-desktop-1.11.0-x86_64.AppImage
|
||||
$ ./buttercup-desktop-1.11.0-x86_64.AppImage
|
||||
```
|
||||
|
||||
运行此命令后，会提示是否要将 Buttercup AppImage 集成到你的系统中。如果选择“Yes”，则会将其添加到应用程序菜单并安装图标。如果不这样做，你仍然可以通过双击 AppImage 或在终端中使用上述命令启动应用程序。
|
||||
运行此命令后，会提示是否要将 Buttercup AppImage 集成到你的系统中。如果选择 “Yes”，则会将其添加到应用程序菜单并安装图标。如果不这样做，你仍然可以通过双击 AppImage 或在终端中使用上述命令启动应用程序。
|
||||
|
||||
### 添加存档
|
||||
|
||||
第一次启动时，会看到下面的欢迎界面：
|
||||
|
||||
|
||||
|
||||
我们还没有添加任何存档，所以让我们添加一个吧。单击“New Archive File”按钮，输入存档文件的名称，并选择它的保存位置。
|
||||
我们还没有添加任何存档，所以让我们添加一个吧。单击 “New Archive File” 按钮，输入存档文件的名称，并选择它的保存位置。
|
||||
|
||||
|
||||
|
||||
你可以随意命名。我把它命名为“mypass”，存档将以 **.bcup** 为扩展名保存在你选择的位置。
|
||||
你可以随意命名。我把它命名为 “mypass”，存档将以 .bcup 为扩展名保存在你选择的位置。
|
||||
|
||||
如果你已经创建了一个，只需单击“Open Archive File”来选择它。
|
||||
如果你已经创建了一个，只需单击 “Open Archive File” 来选择它。
|
||||
|
||||
接下来，buttercup 将提示你为新创建的存档输入主密码，建议提供一个强级别的密码，以保护存档不受未经授权的访问。
|
||||
接下来，Buttercup 将提示你为新创建的存档输入主密码，建议提供一个强级别的密码，以保护存档不会被未经授权访问。
|
||||
|
||||
|
||||
|
||||
@ -57,7 +57,7 @@ $ ./buttercup-desktop-1.11.0-x86_64.AppImage
|
||||
|
||||
让我们继续在存档中添加账户的详细信息。
|
||||
|
||||
### 在存档中添加条目（登陆凭证）
|
||||
### 在存档中添加条目（登录凭证）
|
||||
|
||||
创建或打开存档后，你将看到下面的界面。
|
||||
|
||||
@ -65,33 +65,33 @@ $ ./buttercup-desktop-1.11.0-x86_64.AppImage
|
||||
|
||||
它就像一个保险库，我们将保存不同账户的登录凭证。如你所见，我们并没有添加任何条目。让我们添加一些。
|
||||
|
||||
点击右下角的“ADD ENTRY”按钮来添加新的条目，输入你想要保存的账户的信息。
|
||||
点击右下角的 “ADD ENTRY” 按钮来添加新的条目，输入你想要保存的账户的信息。
|
||||
|
||||
|
||||
|
||||
在每个条目下面都有一个“ADD NEW FIELD”选项，可以用来添加其他的细节。只需点击它，然后添加要包含在条目中的字段。
|
||||
在每个条目下面都有一个 “ADD NEW FIELD” 选项，可以用来添加其他的细节。只需点击它，然后添加要包含在条目中的字段。
|
||||
|
||||
添加完所有条目后，你将在 Buttercup 界面的右侧窗格中看到它们。
|
||||
|
||||
![][6]
|
||||
|
||||
### 添加新的群组
|
||||
### 添加新的分组
|
||||
|
||||
你还可以将登陆的详细信息分组到不同的名称下，以便于识别。例如，你可以将所有邮箱账户分组到一个名为“my_mails”的名称下。默认情况下，你的登录详细信息将保存在“General”群组下。要创建新的群组，请点击“NEW GROUP”按钮并输入名称。在新的群组中创建新条目时，与上述的步骤相同，只需单击组名并开始添加条目。
|
||||
你还可以将登录的详细信息分组到不同的名称下，以便于识别。例如，你可以将所有邮箱账户分组到一个名为 “my_mails” 的名称下。默认情况下，你的登录详细信息将保存在 “General” 群组下。要创建新的群组，请点击 “NEW GROUP” 按钮并输入名称。在新的群组中创建新条目时，与上述的步骤相同，只需单击组名并开始添加条目。
|
||||
|
||||
### 管理和访问登陆的详细信息
|
||||
### 管理和访问登录的详细信息
|
||||
|
||||
存储在存档中的数据可以随时编辑、移动到其他组或彻底删除。例如，如果要将用户名或密码复制到剪切板，请右击该条目，然后选择“Copy to Clipboard”。
|
||||
存储在存档中的数据可以随时编辑、移动到其他组或彻底删除。例如，如果要将用户名或密码复制到剪切板，请右击该条目，然后选择 “Copy to Clipboard”。
|
||||
|
||||
![][7]
|
||||
|
||||
(译注：没理解这个 in the future 的意思)要在将来编辑/修改数据，只需点击所选条目下的“Edit”按钮。
|
||||
要进一步编辑/修改数据，只需点击所选条目下的 “Edit” 按钮。
|
||||
|
||||
### 在远程保存存档
|
||||
|
||||
默认情况下，Buttercup 会将数据保存在本地系统上。但是，你可以将它们保存在不同的远程服务（例如 Dropbox、OwnCloud、NextCloud 和基于 WebDAV 的服务）上。
|
||||
|
||||
要连接这些服务，请点击 **File - > Connect Cloud Sources**。
|
||||
要连接这些服务，请点击 “File -> Connect Cloud Sources”。
|
||||
|
||||
|
||||
|
||||
@ -107,13 +107,16 @@ Buttercup 允许你向其他密码管理器（例如 1Password、Lastpass 和 Ke
|
||||
|
||||
![][9]
|
||||
|
||||
Buttercup 是一个简单但成熟、功能齐全的密码管理器。多年来它一直在积极发展。如果你需要密码管理器，Buttercup 可能是个不错的选择。有关更多的详细信息，请参阅项目网站和 GitHub 页面。
|
||||
Buttercup 是一个简单但成熟、功能齐全的密码管理器。多年来它一直在积极开发。如果你需要密码管理器，Buttercup 可能是个不错的选择。有关更多的详细信息，请参阅项目网站和 GitHub 页面。
|
||||
|
||||
那就介绍到这里，希望它对你有用。更多的精彩内容即将到来，敬请关注！
|
||||
|
||||
谢谢！
|
||||
|
||||
### 资源
|
||||
|
||||
- [Buttercup 网站](https://buttercup.pw/)
|
||||
- [Buttercup GitHub 仓库](https://github.com/buttercup/buttercup-desktop)
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
@ -122,13 +125,13 @@ via: https://www.ostechnix.com/buttercup-a-free-secure-and-cross-platform-passwo
|
||||
作者：[SK][a]
|
||||
选题：[lujun9972][b]
|
||||
译者：[seriouszyx](https://github.com/seriouszyx)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
校对：[wxy](https://github.com/wxy)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]: https://www.ostechnix.com/author/sk/
|
||||
[b]: https://github.com/lujun9972
|
||||
[1]: https://www.ostechnix.com/keeweb-an-open-source-cross-platform-password-manager/
|
||||
[1]: https://linux.cn/article-10211-1.html
|
||||
[2]: https://github.com/buttercup/buttercup-desktop/releases/latest
|
||||
[3]: https://aur.archlinux.org/packages/buttercup-desktop/
|
||||
[4]: https://www.ostechnix.com/yay-found-yet-another-reliable-aur-helper/
|
||||
@ -1,5 +1,5 @@
|
||||
[#]: collector: (lujun9972)
|
||||
[#]: translator: ( )
|
||||
[#]: translator: (alim0x)
|
||||
[#]: reviewer: ( )
|
||||
[#]: publisher: ( )
|
||||
[#]: subject: (DevOps is for everyone)
|
||||
|
||||
@ -0,0 +1,153 @@
|
||||
[#]: collector: (lujun9972)
|
||||
[#]: translator: ( )
|
||||
[#]: reviewer: ( )
|
||||
[#]: publisher: ( )
|
||||
[#]: url: ( )
|
||||
[#]: subject: (Four Easy Ways to Search Or Find Files And Folders in Linux)
|
||||
[#]: via: (https://www.2daygeek.com/four-easy-ways-to-search-or-find-files-and-folders-in-linux/)
|
||||
[#]: author: (Prakash Subramanian https://www.2daygeek.com/author/prakash/)
|
||||
|
||||
Four Easy Ways to Search Or Find Files And Folders in Linux
|
||||
======
|
||||
|
||||
Linux admins can’t able to leave a day without performing a file search as this one of the activity for their routine.
|
||||
|
||||
It’s good to know all the file search stuffs because it would help you in many ways when you are working on headless server.
|
||||
|
||||
These commands are not complicate to remember because these are using a standard syntax.
|
||||
|
||||
This can be performed through Four Linux commands and each command has their own unique feature.
|
||||
|
||||
### Method-1: Search Files And Folders in Linux Using find Command
|
||||
|
||||
Find command is widely used and very famous command to search files and folders in Linux. It searches given files in the current directory and recursively through its sub-directories based on the search criteria.
|
||||
|
||||
It allow users to perform all kind of file searches based on the criteria lie by size, name, owner, group, type, permissions, date, and other criteria.
|
||||
|
||||
Run the following command to find a given file in system.
|
||||
|
||||
```
|
||||
# find / -iname "sshd_config"
|
||||
/etc/ssh/sshd_config
|
||||
```
|
||||
|
||||
Run the following command to find a given folder in system. To search a folder in Linux we need to use `-type` parameter.
|
||||
|
||||
```
|
||||
# find / -type d -iname "ssh"
|
||||
/usr/lib/ssh
|
||||
/usr/lib/go/src/cmd/vendor/golang.org/x/crypto/ssh
|
||||
/usr/lib/go/pkg/linux_amd64/cmd/vendor/golang.org/x/crypto/ssh
|
||||
/etc/ssh
|
||||
```
|
||||
|
||||
Use wildcard option to search set of files on your system. We are going to search all files available in the system with `.config` extension.
|
||||
|
||||
```
|
||||
# find / -name "*.config"
|
||||
/usr/lib/mono/gac/avahi-sharp/1.0.0.0__4d116c78973743f5/avahi-sharp.dll.config
|
||||
/usr/lib/mono/gac/avahi-ui-sharp/0.0.0.0__4d116c78973743f5/avahi-ui-sharp.dll.config
|
||||
/usr/lib/python2.7/config/Setup.config
|
||||
/usr/share/git/mw-to-git/t/test.config
|
||||
/var/lib/lightdm/.config
|
||||
/home/daygeek/.config
|
||||
/root/.config
|
||||
/etc/skel/.config
|
||||
```
|
||||
|
||||
Use the following command format to find an empty files and folders in system.
|
||||
|
||||
```
|
||||
# find / -empty
|
||||
```
|
||||
|
||||
Use the following command combination to find all files containing specific text on Linux.
|
||||
|
||||
```
|
||||
# find / -type f -exec grep "Port 22" '{}' \; -print
|
||||
# find / -type f -print | xargs grep "Port 22"
|
||||
# find / -type f | xargs grep 'Port 22'
|
||||
# find / -type f -exec grep -H 'Port 22' {} \;
|
||||
```
|
||||
|
||||
### Method-2: Search Files And Folders in Linux Using locate command
|
||||
|
||||
locate command works faster than the find command because it uses updatedb database, whereas the find command searches in the real system.
|
||||
|
||||
It uses a database rather than hunting individual directory paths to get a given file.
|
||||
|
||||
locate command doesn’t pre-installed in most of the distributions so, use your distribution package manager to install it.
|
||||
|
||||
The database is updated regularly through cron, however we can manually update it by running the following command.
|
||||
|
||||
```
|
||||
$ sudo updatedb
|
||||
```
|
||||
|
||||
Simply run the following command to list the given file or folder. There is no specific options need to be specified in locate command to print file or folder.
|
||||
|
||||
To search `ssh` folder in system.
|
||||
|
||||
```
|
||||
# locate --basename '\ssh'
|
||||
/etc/ssh
|
||||
/usr/bin/ssh
|
||||
/usr/lib/ssh
|
||||
/usr/lib/go/pkg/linux_amd64/cmd/vendor/golang.org/x/crypto/ssh
|
||||
/usr/lib/go/src/cmd/go/testdata/failssh/ssh
|
||||
/usr/lib/go/src/cmd/vendor/golang.org/x/crypto/ssh
|
||||
```
|
||||
|
||||
To search `ssh_config` file in system.
|
||||
|
||||
```
|
||||
# locate --basename '\sshd_config'
|
||||
/etc/ssh/sshd_config
|
||||
```
|
||||
|
||||
### Method-3: Search Files in Linux Using which command
|
||||
|
||||
TThe which command returns the full path of the executable that would have been executed when the command had been entered in terminal.
|
||||
|
||||
It’s very useful when you want to create a desktop shortcut or symbolic link for executable files.
|
||||
|
||||
Which command searches the directories listed in the current user’s PATH environment variable not for all the users. I mean, when you are logged in your own account and you can’t able to search for root user file or directory.
|
||||
|
||||
Run the following command to print the full path of the vim executable file location.
|
||||
|
||||
```
|
||||
# which vi
|
||||
/usr/bin/vi
|
||||
```
|
||||
|
||||
Alternatively, it’s allowing user to perform multiple file search in one shot.
|
||||
|
||||
```
|
||||
# which -a vi sudo
|
||||
/usr/bin/vi
|
||||
/bin/vi
|
||||
/usr/bin/sudo
|
||||
/bin/sudo
|
||||
```
|
||||
|
||||
### Method-4: Search Files in Linux Using whereis command
|
||||
|
||||
The whereis command used to search the binary, source, and man page files for a given command.
|
||||
|
||||
```
|
||||
# whereis vi
|
||||
vi: /usr/bin/vi /usr/share/man/man1/vi.1p.gz /usr/share/man/man1/vi.1.gz
|
||||
```
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: https://www.2daygeek.com/four-easy-ways-to-search-or-find-files-and-folders-in-linux/
|
||||
|
||||
作者：[Prakash Subramanian][a]
|
||||
选题：[lujun9972][b]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]: https://www.2daygeek.com/author/prakash/
|
||||
[b]: https://github.com/lujun9972
|
||||
@ -1,5 +1,5 @@
|
||||
[#]: collector: (lujun9972)
|
||||
[#]: translator: ( )
|
||||
[#]: translator: (geekpi)
|
||||
[#]: reviewer: ( )
|
||||
[#]: publisher: ( )
|
||||
[#]: subject: (Bring some color to your Linux terminal with lolcat)
|
||||
|
||||
@ -1,92 +0,0 @@
|
||||
[#]: collector: (lujun9972)
|
||||
[#]: translator: (geekpi)
|
||||
[#]: reviewer: ( )
|
||||
[#]: publisher: ( )
|
||||
[#]: subject: (Easily Convert Audio File Formats with SoundConverter in Linux)
|
||||
[#]: via: (https://itsfoss.com/sound-converter-linux/)
|
||||
[#]: author: (Abhishek Prakash https://itsfoss.com/author/abhishek/)
|
||||
[#]: url: ( )
|
||||
|
||||
Easily Convert Audio File Formats with SoundConverter in Linux
|
||||
======
|
||||
|
||||
**If you are looking for converting audio file formats to wav, mp3, ogg or any other format, SoundConverter is the tool you need in Linux.**
|
||||
|
||||
![Audio Converter in Linux][1]
|
||||
|
||||
So recently I purchased some DRM-free music. I got it from [SaReGaMa][2], the oldest and the largest music labels in India. The downloaded files were in HD quality and in WAV format.
|
||||
|
||||
Unfortunately, Rhythmbox doesn’t play the WAV files. On top of that, a single file was around 70 MB in size. Imagine transferring such large music files to smartphones. It would eat up a lot of space unnecessarily.
|
||||
|
||||
So I thought it was time to convert the WAV files to MP3, the evergreen and the most popular music file format.
|
||||
|
||||
And for this task, I needed an audio converter in Linux. In this quick tutorial, I’ll show you how can you convert your audio files from one format to another easily with a GUI tool called SoundCoverter.
|
||||
|
||||
### Installing SoundConverter in Linux
|
||||
|
||||
[SoundConverter][3] is a popular free and open source software. It should be available in the official repository of most Linux distributions.
|
||||
|
||||
Ubuntu/Linux Mint users can simply search for SoundConverter in the software center and install it from there.
|
||||
|
||||
![SoundConverter application in Software Center of Ubuntu][4]SoundConverter can be installed from Software Center
|
||||
|
||||
Alternatively, you can use the command line way. In Debian and Ubuntu based systems, you can use the following command:
|
||||
|
||||
```
|
||||
sudo apt install soundconverter
|
||||
```
|
||||
|
||||
For Arch, Fedora and other non-Debian based distributions, you can use the software center or the package manager of your distribution.
|
||||
|
||||
### Using SoundConverter to convert audio file formats in Linux
|
||||
|
||||
Once you have installed SoundConverter, search for it in the menu and start it.
|
||||
|
||||
The default interface looks like this and it cannot be more simple than this:
|
||||
|
||||
![SoundConverter application interface in Linux][5]Simple Interface
|
||||
|
||||
Converting audio file format is as easy as selecting the file and clicking on convert.
|
||||
|
||||
However, I would advise you to check the default settings at least on the first run. By default it converts the audio file to OGG file format and you may not want that.
|
||||
|
||||
![Preferences in SoundConverter][6]Default output settings can be changed in Preferences
|
||||
|
||||
To change the default output settings, click on the Preferences icon visible on the interface. You’ll see plenty of options to change here.
|
||||
|
||||
You can change the default output format, bitrate, quality etc. You can also choose if you want to keep the converted files in the same folder as the original or not.
|
||||
|
||||
There is also an option of automatically deleting the original file after conversion. I don’t think you should use that option.
|
||||
|
||||
You can also change the output file name. By default, it will just change the suffix but you can also choose to name it based on track number, title, artist etc. For that to happen, you should have proper metadata on the original file.
|
||||
|
||||
Speaking of metadata, have you heard of [MusicBrainz Picard][7]? This tool helps you automatically updates the metadata of your local music files.
|
||||
|
||||
### Conclusion
|
||||
|
||||
I have discussed [recording audio in Linux][8] previously with a similar tiny application. Such nifty tools actually make life easier with their focused aim of completing a certain task. You may use full-fledged and a lot better audio editing tool like [Audacity][9] but that may be complicated to use for smaller tasks like converting audio file formats.
|
||||
|
||||
I hope you like SoundConverter. If you use some other tool, do mention that in the comments and I may cover it here on It’s FOSS. Enjoy!
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: https://itsfoss.com/sound-converter-linux/
|
||||
|
||||
作者：[Abhishek Prakash][a]
|
||||
选题：[lujun9972][b]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]: https://itsfoss.com/author/abhishek/
|
||||
[b]: https://github.com/lujun9972
|
||||
[1]: https://i0.wp.com/itsfoss.com/wp-content/uploads/2018/12/Convert-audio-file-format-linux.png?resize=800%2C450&ssl=1
|
||||
[2]: https://en.wikipedia.org/wiki/Saregama
|
||||
[3]: http://soundconverter.org/
|
||||
[4]: https://i0.wp.com/itsfoss.com/wp-content/uploads/2018/12/sound-converter-software-center.png?ssl=1
|
||||
[5]: https://i1.wp.com/itsfoss.com/wp-content/uploads/2018/12/sound-converter-app-linux.jpeg?ssl=1
|
||||
[6]: https://i0.wp.com/itsfoss.com/wp-content/uploads/2018/12/sound-converter-app-linux-preferences.jpeg?resize=800%2C431&ssl=1
|
||||
[7]: https://itsfoss.com/musicbrainz-picard/
|
||||
[8]: https://itsfoss.com/record-streaming-audio/
|
||||
[9]: https://www.audacityteam.org/
|
||||
113
sources/tech/20181210 How to get started in AI.md
Normal file
113
sources/tech/20181210 How to get started in AI.md
Normal file
@ -0,0 +1,113 @@
|
||||
[#]: collector: (lujun9972)
|
||||
[#]: translator: ( )
|
||||
[#]: reviewer: ( )
|
||||
[#]: publisher: ( )
|
||||
[#]: url: ( )
|
||||
[#]: subject: (How to get started in AI)
|
||||
[#]: via: (https://opensource.com/article/18/12/how-get-started-ai)
|
||||
[#]: author: (Gordon Haff https://opensource.com/users/ghaff)
|
||||
|
||||
How to get started in AI
|
||||
======
|
||||
Before you can begin working in artificial intelligence, you need to acquire some human intelligence.
|
||||
|
||||
|
||||
I've both asked and been asked about the best way to learn more about artificial intelligence (AI). What should I read? What should I watch? I'll get to that. But, first, it's useful to break down this question, given that AI covers a lot of territory.
|
||||
|
||||
One important distinction to draw is between the research side of AI and the applied side. Cassie Kozyrkov of Google [drew this distinction][1] in a talk at the recent O'Reilly Artificial Intelligence Conference in London, and it's a good one.
|
||||
|
||||
Research AI is rather academic in nature and requires a heavy dose of math across a variety of disciplines before you even get to those parts that are specific to AI. This aspect of AI focuses on the algorithms and tools that drive the state of AI forward. For example, what neural network structures might improve vision recognition results? How might we make unsupervised learning a more generally useful approach? Can we find ways to understand better how deep learning pipelines come up with the answers they do?
|
||||
|
||||
Applied AI, on the other hand, is more about using existing tools to obtain useful results. Open source has played a big role here in providing free and often easy-to-use software in a variety of languages. Public cloud providers have also devoted a lot of attention to providing machine learning services, models, and datasets that make the onramp to getting started with AI much simpler than it would be otherwise.
|
||||
|
||||
I'll add at this point that applied AI practitioners shouldn't treat their tools as some sort of black box that spits out answers for mysterious reasons. At a minimum, they need to understand the limits and potential biases of different techniques, models, and data collection approaches. It's just that they don't necessarily need to delve deeply into all the theory underpinning every part of their toolchain.
|
||||
|
||||
Although it's probably less important for working in AI on a day-to-day basis, it's also useful to understand the broader context of AI. It goes beyond the narrow scope of deep learning on neural networks that have been so important to the gains made in reinforcement learning and supervised learning to date. For example, AI is often viewed as a way to augment (rather than replace) human judgment and decisions. But the handoff between machine and human has its own pitfalls.
|
||||
|
||||
With that background, here are some study areas and resources you may find useful.
|
||||
|
||||
### Research AI
|
||||
|
||||
In a lot of respects, a list of resources for research AI mirror those in an undergraduate (or even graduate) computer science program that's focused on AI. The main difference is that the syllabus you draw up may be more interdisciplinary than more traditionally focused university curricula.
|
||||
|
||||
Where you start will depend on your computer science and math background.
|
||||
|
||||
If it's minimal or rusty, but you still want to develop a deep understanding of AI fundamentals, you'll benefit from taking some math courses to start. There are many options on massive online open courses (MOOCs) like the nonprofit [edX][2] platform and [Coursera][3]. (Both platforms charge for certifications, but edX makes all the content available for free to people just auditing the course.)
|
||||
|
||||
Typical foundational courses could include:
|
||||
|
||||
+ [MIT's Calculus courses][22], starting with differentiation
|
||||
+ [Linear Algebra][23] (University of Texas)
|
||||
+ Probability and statistics, such as MIT's [Probability—The Science of Uncertainty and Data][24]
|
||||
|
||||
|
||||
To get deeper into AI from a research perspective, you'll probably want to get into all these areas of mathematics and more. But the above should give you an idea of the general branches of study that are probably most important before delving into machine learning and AI proper.
|
||||
|
||||
In addition to MOOCs, resources such as [MIT OpenCourseWare][4] provide the syllabus and various supporting materials for a wide range of mathematics and computer science courses.
|
||||
|
||||
With the foundations in place, you can move onto more specialized courses in AI proper. Andrew Ng's AI MOOC, from when he was teaching at Stanford, was one of the early courses to popularize the whole online course space. Today, his [Neural Networks and Deep Learning][5] is part of the Deep Learning specialization at Coursera. There are corresponding programs on edX. For example, Columbia offers an [Artificial Intelligence MicroMasters][6].
|
||||
|
||||
In addition to courses, a variety of textbooks and other learning material are also available online. These include:
|
||||
|
||||
* [Neural Networks and Deep Learning][7]
|
||||
* [Deep Learning][8] from MIT Press by Ian Goodfellow and Yoshua Bengio and Aaron Courville
|
||||
|
||||
### Applied AI
|
||||
|
||||
Applied AI is much more focused on using available tools than building new ones. Some appreciation of the mathematical underpinnings, especially statistics, is still useful—arguably even necessary—but you won't be majoring in that aspect of AI to the same degree you would in a research mode.
|
||||
|
||||
Programming is a core skill here. While different programming languages can come into play, a lot of libraries and toolsets—such as [PyTorch][9]—rely on Python, so that's a good skill to have. Especially if you have some level of programming background, MIT's [Introduction to Computer Science and Programming Using Python][10], based on its on-campus 6.001 course, is a good primer. If you're truly new to programming, Charles Severance's [Programming for Everybody (Getting Started with Python)][11] from the University of Michigan doesn't toss you into the deep end of the pool the way the MIT course does.
|
||||
|
||||
[The R programming language][12] is also a useful skill to add to your toolbox. While it's less used in machine learning (ML) per se, it's common for a variety of other data science tasks, and applied AI/ML and data science often blend in practice. For example, many tasks associated with organizing and cleaning data apply equally whatever analysis techniques you'll eventually use. A MOOC sequence like Harvard's [Data Science certificate][13] is an example of a set of courses that provide a good introduction to working with data.
|
||||
|
||||
Another open source software library you're likely to encounter if you do any work with AI is [TensorFlow][14]. It was originally developed by researchers and engineers from the Google Brain team within Google's AI organization. [Google offers a variety of tutorials][15] to get started with TensorFlow using the high-level Keras API. You can run TensorFlow locally as well as online in Google Cloud.
|
||||
|
||||
In general, all of the big public cloud providers offer online datasets and ML services that can be an easy way to get started. However, especially as you move beyond "play" datasets and applications, you need to start thinking seriously about the degree to which you want to be locked into a single provider.
|
||||
|
||||
Datasets for your exploratory learning projects are available from many different sources. In addition to the public cloud providers, [Kaggle][16] is another popular source and also a good learning resource more broadly. Government data is also increasingly available in digital form. The US Federal Government's [Data.gov][17] claims over 300,000 datasets. State and local governments also publish data on everything from restaurant health ratings to dogs' names.
|
||||
|
||||
### Miscellany
|
||||
|
||||
I'll close by noting that AI is a broad topic that isn't just about math, programming, and data. AI as a whole touches many other fields, including cognitive psychology, linguistics, game theory, operations research, and control systems. Indeed, a concern among at least some AI researchers today is that the field has become too fixated on a small number of techniques that have become powerful and interesting only quite recently because of the intersection of processing power and big data. Many longstanding problems in understanding how humans learn and reason remain largely unsolved. Developing at least some appreciation for these broader problem spaces will better enable you to place AI within a broader context.
|
||||
|
||||
One of my favorite examples is the [Humans and Autonomy Lab][18] at Duke. The work in this lab touches on all the challenges of humans working with machines, such as how autopilots can create ["Children of the Magenta"][19] who are unable to take control quickly if the automation fails. A basic brain-science course, such as MIT's [Introduction to Psychology][20], provides some useful context for the relationship between human intelligence and machine intelligence. Another course in a similar vein, but taught by the late Marvin Minsky from MIT's Electrical Engineering and Computer Science department, is [The Society of Mind][21].
|
||||
|
||||
If there's one key challenge to learning about AI, it's not that raw materials and tools aren't readily available. It's that there are so many of them. My objective hasn't been to give you a comprehensive set of pointers. Rather, it's been to both point out the different paths you can take and provide you with some possible starting points. Happy learning!
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: https://opensource.com/article/18/12/how-get-started-ai
|
||||
|
||||
作者：[Gordon Haff][a]
|
||||
选题：[lujun9972][b]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]: https://opensource.com/users/ghaff
|
||||
[b]: https://github.com/lujun9972
|
||||
[1]: https://www.youtube.com/watch?v=RLtI7r3QUyY
|
||||
[2]: https://www.edx.org/
|
||||
[3]: https://www.coursera.org/
|
||||
[4]: https://ocw.mit.edu/index.htm
|
||||
[5]: https://www.coursera.org/learn/neural-networks-deep-learning
|
||||
[6]: https://www.edx.org/micromasters/columbiax-artificial-intelligence
|
||||
[7]: http://neuralnetworksanddeeplearning.com/
|
||||
[8]: http://www.deeplearningbook.org/
|
||||
[9]: https://pytorch.org/
|
||||
[10]: https://www.edx.org/course/introduction-to-computer-science-and-programming-using-python
|
||||
[11]: https://www.coursera.org/learn/python
|
||||
[12]: https://www.r-project.org/about.html
|
||||
[13]: https://www.edx.org/professional-certificate/harvardx-data-science
|
||||
[14]: https://www.tensorflow.org/
|
||||
[15]: https://www.tensorflow.org/tutorials/
|
||||
[16]: https://www.kaggle.com/
|
||||
[17]: https://www.data.gov/
|
||||
[18]: https://hal.pratt.duke.edu/
|
||||
[19]: https://99percentinvisible.org/episode/children-of-the-magenta-automation-paradox-pt-1/
|
||||
[20]: https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-00sc-introduction-to-psychology-fall-2011/
|
||||
[21]: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-868j-the-society-of-mind-fall-2011/
|
||||
[22]: https://www.edx.org/course/calculus-1a-differentiation
|
||||
[23]: https://www.edx.org/course/linear-algebra-foundations-to-frontiers
|
||||
[24]: https://courses.edx.org/courses/course-v1:MITx+6.431x+3T2018/course/
|
||||
@ -0,0 +1,160 @@
|
||||
[#]: collector: (lujun9972)
|
||||
[#]: translator: ( )
|
||||
[#]: reviewer: ( )
|
||||
[#]: publisher: ( )
|
||||
[#]: url: ( )
|
||||
[#]: subject: (McFly – A Replacement To ‘Ctrl+R’ Bash History Search Feature)
|
||||
[#]: via: (https://www.ostechnix.com/mcfly-a-replacement-to-ctrlr-bash-history-search-feature/)
|
||||
[#]: author: (SK https://www.ostechnix.com/author/sk/)
|
||||
|
||||
McFly – A Replacement To ‘Ctrl+R’ Bash History Search Feature
|
||||
======
|
||||
|
||||
If you spend a lot of time on CLI mode, you should definitely used or heard about **reverse search** function in BASH. The keyboard shortcut to do reverse search in Bash is **Ctrl+r**. Using bash reverse search, we can bring up all commands which we used previously executed without having to re-type them every time. You can, of course, use UP/DOWN arrows to search your bash history. However, Ctrl+r will make this process much easier and faster. Today, I Stumbled upon a replacement to ‘Ctrl+r’ Bash history search feature. Meet **“McFly”** , a simple tool written in **Rust** programming language that replaces the default Ctrl+r Bash history search with an intelligent search engine. All command suggestions made by McFly are prioritized in real time with a small **neural network**.
|
||||
|
||||
McFly rebinds Ctrl+r functionality to bring up all recently executed commands from your Bash history. It augments your shell history by tracking the following:
|
||||
|
||||
* Command exit status,
|
||||
* timestamp (When you run the command),
|
||||
* and execution directory (Where you run the command).
|
||||
|
||||
|
||||
|
||||
It saves all tracking details in a SQLite database. Since it tracks the command’s historical exit status, you can simply ignore the old failed commands. Cool, yeah?
|
||||
|
||||
When suggesting a command, McFly considers the following facts:
|
||||
|
||||
* On which directory you ran the command. You’re likely to repeat that command in the same directory in future.
|
||||
* What commands you typed before the command.
|
||||
* How often you run the command.
|
||||
* When you last ran the command.
|
||||
* If you’ve selected the command in McFly before.
|
||||
* The command’s historical exit status. Because, you probably don’t want to run old failed commands, right?
|
||||
|
||||
|
||||
|
||||
McFly maintains your default Bash history file, so you can stop using McFly at any time. McFly is not just for BASH, it is also extendable for other shells as well.
|
||||
|
||||
### Installing McFly
|
||||
|
||||
McFly can be installed using Linuxbrew on Linux. If you haven’t installed Linuxbrew yet, refer the following link.
|
||||
|
||||
[Linuxbrew – A Common Package Manager For Linux And Mac OS X][1]
|
||||
|
||||
Once Linuxbrew installed, run the following commands to install McFly:
|
||||
|
||||
```
|
||||
$ brew tap cantino/mcfly https://github.com/cantino/mcfly
|
||||
|
||||
$ brew install mcfly
|
||||
```
|
||||
|
||||
After the installation is completed, you will see the following output.
|
||||
|
||||
```
|
||||
==> Installing mcfly from cantino/mcfly
|
||||
==> Downloading https://github.com/cantino/mcfly/releases/download/v0.2.5/mcfly-v0
|
||||
==> Downloading from https://github-production-release-asset-2e65be.s3.amazonaws.c
|
||||
######################################################################## 100.0%
|
||||
==> ONE MORE STEP! Edit ~/.bashrc and add the following:
|
||||
|
||||
if [ -f $(brew --prefix)/opt/mcfly/mcfly.bash ]; then
|
||||
. $(brew --prefix)/opt/mcfly/mcfly.bash
|
||||
fi
|
||||
🍺 /home/linuxbrew/.linuxbrew/Cellar/mcfly/v0.2.5: 4 files, 3.5MB, built in 33 seconds
|
||||
```
|
||||
|
||||
As you can see, we need to do one more step before start using McFly.
|
||||
|
||||
Add the following lines to your **~/.bashrc** file:
|
||||
|
||||
```
|
||||
if [ -f $(brew --prefix)/opt/mcfly/mcfly.bash ]; then
|
||||
. $(brew --prefix)/opt/mcfly/mcfly.bash
|
||||
fi
|
||||
```
|
||||
|
||||
Finally, run the following command to take effects changes:
|
||||
|
||||
```
|
||||
$ source ~/.bashrc
|
||||
```
|
||||
|
||||
Your BASH history will be imported to McFly database when you run this command for the first time. It will take a few moments depending upon size of your bash history file. Once the import is done, you will see the following message.
|
||||
|
||||
```
|
||||
McFly: Importing Bash history for the first time. This may take a minute or two...done.
|
||||
```
|
||||
|
||||
You can now start using McFly.
|
||||
|
||||
|
||||
### Usage
|
||||
|
||||
To search through your command history, just type ‘mcfly search’ followed by the part of the command name and hit ENTER key. Mcfly will display the command suggestions based on the search query you just type.
|
||||
|
||||
```
|
||||
$ mcfly search <part-of-the-command>
|
||||
```
|
||||
|
||||
For instance, I type the following command:
|
||||
|
||||
```
|
||||
$ mcfly search mk
|
||||
```
|
||||
|
||||
Here is the sample output from my Ubuntu machine:
|
||||
|
||||
|
||||
|
||||
As you can see, I have used ‘mkdir’ command two times. If you want to run a command from the list of suggestions, just use **UP/DOWN** arrows to select it and hit ENTER to run it immediately. If you want to edit a command, choose it and hit **TAB** key to bring it back to your Terminal and then edit before running it. To delete the selected command from the history, just press **F2**.
|
||||
|
||||
Alternatively, type the following command to open the history search and then type any command or part of the command to view the suggestions from your history.
|
||||
|
||||
```
|
||||
$ mcfly search
|
||||
```
|
||||
|
||||
McFly will display the command suggestions as you type.
|
||||
|
||||
Here is a short video demonstration of McFly:
|
||||
|
||||
View help:
|
||||
|
||||
```
|
||||
$ mcfly --help
|
||||
```
|
||||
|
||||
|
||||
### Remove McFly
|
||||
|
||||
Don’t like McFly, no problem! Remove it using the following commands:
|
||||
|
||||
```
|
||||
$ brew uninstall mcfly
|
||||
|
||||
$ brew untap cantino/mcfly
|
||||
```
|
||||
|
||||
Finally, remove the lines which we added earlier from **~/.bashrc** file.
|
||||
|
||||
And, that’s all for now. More good stuffs to come. Stay tuned!
|
||||
|
||||
Cheers!
|
||||
|
||||
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: https://www.ostechnix.com/mcfly-a-replacement-to-ctrlr-bash-history-search-feature/
|
||||
|
||||
作者：[SK][a]
|
||||
选题：[lujun9972][b]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]: https://www.ostechnix.com/author/sk/
|
||||
[b]: https://github.com/lujun9972
|
||||
[1]: https://www.ostechnix.com/linuxbrew-common-package-manager-linux-mac-os-x/
|
||||
@ -0,0 +1,52 @@
|
||||
[#]: collector: (lujun9972)
|
||||
[#]: translator: ( )
|
||||
[#]: reviewer: ( )
|
||||
[#]: publisher: ( )
|
||||
[#]: url: ( )
|
||||
[#]: subject: (Snake your way across your Linux terminal)
|
||||
[#]: via: (https://opensource.com/article/18/12/linux-toy-snake)
|
||||
[#]: author: (Jason Baker https://opensource.com/users/jason-baker)
|
||||
|
||||
Snake your way across your Linux terminal
|
||||
======
|
||||
Python isn't the only snake you'll find at the Linux command line with this classic 1970s game remake.
|
||||
|
||||
|
||||
Welcome back to the Linux command-line toys advent calendar. If this is your first visit to the series, you might be asking yourself what a command-line toy even is. It's hard to say exactly, but my definition is anything that helps you have fun at the terminal.
|
||||
|
||||
We've been on a roll with games over the weekend, and it was fun, so let's look at one more game today, Snake!
|
||||
|
||||
Snake is an oldie but goodie; versions of it have been around seemingly forever. The first version I remember playing was one called [Nibbles][1] that came packaged with [QBasic][2] in the 1990s, and was probably pretty important to my understanding of what a programming language even was. Here I had the source code to a game that I could modify and just see what happens, and maybe learn something about what all of those funny little words that made up a programming language were all about.
|
||||
|
||||
Today's [Snake][3] is written in Go, and while it's simple, it's just as much fun as the original. Like most simple old games, there are a ton of versions to choose from. In Snake's case, there's even a version in the classic [bsdgames][4] package that's almost certainly packaged for your distribution.
|
||||
|
||||
But what I like about this version of Snake is that it's packaged for Docker so I can easily run it in one line from my terminal without worrying about anything disto-specific. That, and it makes use of 15 randomized food emojis for the snake to eat. I'm a sucker for food emojis. Anyway, give it a try using:
|
||||
|
||||
```
|
||||
$ docker run -ti dyego/snake-game
|
||||
```
|
||||
|
||||
This Snake is licensed as open source under an MIT license, and you can check out the source code [on GitHub][3].
|
||||
|
||||
Do you have a favorite command-line toy that you think I ought to profile? The calendar for this series is mostly filled out but I've got a few spots left. Let me know in the comments below, and I'll check it out. If there's space, I'll try to include it. If not, but I get some good submissions, I'll do a round-up of honorable mentions at the end.
|
||||
|
||||
Check out yesterday's toy, [Powers of two, powers of Linux: 2048 at the command line][5], and check back tomorrow for another!
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: https://opensource.com/article/18/12/linux-toy-snake
|
||||
|
||||
作者：[Jason Baker][a]
|
||||
选题：[lujun9972][b]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]: https://opensource.com/users/jason-baker
|
||||
[b]: https://github.com/lujun9972
|
||||
[1]: https://en.wikipedia.org/wiki/Nibbles_(video_game)
|
||||
[2]: https://en.wikipedia.org/wiki/QBasic
|
||||
[3]: https://github.com/DyegoCosta/snake-game
|
||||
[4]: https://github.com/vattam/BSDGames
|
||||
[5]: https://opensource.com/article/18/12/linux-toy-2048
|
||||
@ -0,0 +1,94 @@
|
||||
[#]: collector: (lujun9972)
|
||||
[#]: translator: (geekpi)
|
||||
[#]: reviewer: ( )
|
||||
[#]: publisher: ( )
|
||||
[#]: subject: (Easily Convert Audio File Formats with SoundConverter in Linux)
|
||||
[#]: via: (https://itsfoss.com/sound-converter-linux/)
|
||||
[#]: author: (Abhishek Prakash https://itsfoss.com/author/abhishek/)
|
||||
[#]: url: ( )
|
||||
|
||||
在 Linux 中使用 SoundConverter 轻松转换音频文件格式
|
||||
======
|
||||
|
||||
**如果你正在寻找将音频文件格式转换为 wav、mp3、ogg 或任何其他格式，SoundConverter 是你在 Linux 中需要的工具。**
|
||||
|
||||
![Audio Converter in Linux][1]
|
||||
|
||||
最近我购买了一些没有 DRM 的音乐。我是从 [SaReGaMa][2] 那里买的，这是一家印度历史最悠久，规模最大的音乐品牌。下载的文件采用高清质量的 WAV 格式。
|
||||
|
||||
不幸的是，Rhythmbox 无法播放 WAV。最重要的是，单个文件大小约为 70MB。想象一下，将这么大的音乐传输到智能手机。它会不必要地占用大量空间。
|
||||
|
||||
所以我认为是时候将 WAV 文件转换为 MP3，这个长青且最流行的音乐文件格式。
|
||||
|
||||
为此，我需要一个在 Linux 中的音频转换器。在这个教程中，我将向你展示如何使用名为 SoundCoverter 的 GUI 工具轻松地将音频文件从一种格式转换为另一种格式。
|
||||
|
||||
### 在 Linux 中安装 SoundConverter
|
||||
|
||||
[SoundConverter][3] 是一款流行的免费开源软件。它应该可以在大多数 Linux 发行版的官方仓库中找到。
|
||||
|
||||
Ubuntu/Linux Mint 用户只需在软件中心搜索 SoundConverter 并从那里安装即可。
|
||||
|
||||
![SoundConverter application in Software Center of Ubuntu][4]
|
||||
SoundConverter 可以从软件中心安装
|
||||
|
||||
或者，你可以使用命令行方式。在基于 Debian 和 Ubuntu 的系统中，你可以使用以下命令：
|
||||
|
||||
```
|
||||
sudo apt install soundconverter
|
||||
```
|
||||
|
||||
在 Arch、Fedora 和其他非基于 Debian 的发行版中，你可以使用你的发行版的软件中心或软件包管理器。
|
||||
|
||||
### 在 Linux 中使用 SoundConverter 转换音频文件格式
|
||||
|
||||
安装完 SoundConverter 后，在菜单中搜索并启动它。
|
||||
|
||||
默认界面看起来像这样，它不能比这简单：
|
||||
|
||||
![SoundConverter application interface in Linux][5]Simple Interface
|
||||
|
||||
转换音频文件格式只要选择文件并单击转换。
|
||||
|
||||
但是，我建议你至少在第一次运行时检查下默认设置。默认情况下，它会将音频文件转换为 OGG 文件格式，你可能不希望这样。
|
||||
|
||||
![Preferences in SoundConverter][6]
|
||||
可以在“首选项”中更改默认输出设置
|
||||
|
||||
要更改默认输出设置，请单击界面上的“首选项”图标。你会在这里看到很多可更改的选择。
|
||||
|
||||
你可以更改默认输出格式、比特率、质量等。你还可以选择是否要将转换后的文件保存在与原始文件相同的文件夹中。
|
||||
|
||||
转换后还可以选择自动删除原始文件。我不认为你应该使用那个选项。
|
||||
|
||||
你还可以更改输出文件名。默认情况下，它只会更改后缀，但你也可以选择根据曲目编号、标题、艺术家等进行命名。为此，原始文件中应包含适当的元数据。
|
||||
|
||||
说到元数据，你听说过 [MusicBrainz Picard][7]吗？此工具可帮助你自动更新本地音乐文件的元数据。
|
||||
|
||||
### 总结
|
||||
|
||||
我之前用讨论过用一个小程序[在 Linux 中录制音频][8]。这些很棒的工具通过专注某个特定的任务使得生活更轻松。你可以使用成熟和更好的音频编辑工具，如 [Audacity][9]，但对于较小的任务，如转换音频文件格式，它可能用起来很复杂。
|
||||
|
||||
我希望你喜欢 SoundConverter。如果你使用其他工具，请在评论中提及，我会在 FOSS 中提及。使用开心！
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: https://itsfoss.com/sound-converter-linux/
|
||||
|
||||
作者：[Abhishek Prakash][a]
|
||||
选题：[lujun9972][b]
|
||||
译者：[geekpi](https://github.com/geekpi)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]: https://itsfoss.com/author/abhishek/
|
||||
[b]: https://github.com/lujun9972
|
||||
[1]: https://i0.wp.com/itsfoss.com/wp-content/uploads/2018/12/Convert-audio-file-format-linux.png?resize=800%2C450&ssl=1
|
||||
[2]: https://en.wikipedia.org/wiki/Saregama
|
||||
[3]: http://soundconverter.org/
|
||||
[4]: https://i0.wp.com/itsfoss.com/wp-content/uploads/2018/12/sound-converter-software-center.png?ssl=1
|
||||
[5]: https://i1.wp.com/itsfoss.com/wp-content/uploads/2018/12/sound-converter-app-linux.jpeg?ssl=1
|
||||
[6]: https://i0.wp.com/itsfoss.com/wp-content/uploads/2018/12/sound-converter-app-linux-preferences.jpeg?resize=800%2C431&ssl=1
|
||||
[7]: https://itsfoss.com/musicbrainz-picard/
|
||||
[8]: https://itsfoss.com/record-streaming-audio/
|
||||
[9]: https://www.audacityteam.org/
|
||||
Loading…
Reference in New Issue
Block a user