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自动选题[tech]: 20220125 Use Mozilla DeepSpeech to enable speech to text in your application
2025-01-13 22:30:37 +08:00 · 2022-01-26 08:38:23 +08:00 · 2022-01-26 08:38:23 +08:00 · 623f6fc3e5
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+[#]: subject: "Use Mozilla DeepSpeech to enable speech to text in your application"
+[#]: via: "https://opensource.com/article/22/1/voice-text-mozilla-deepspeech"
+[#]: author: "Seth Kenlon https://opensource.com/users/seth"
+[#]: collector: "lujun9972"
+[#]: translator: " "
+[#]: reviewer: " "
+[#]: publisher: " "
+[#]: url: " "
+
+Use Mozilla DeepSpeech to enable speech to text in your application
+======
+Speech recognition in applications isn't just a fun trick but an
+important accessibility feature.
+![Colorful sound wave graph][1]
+
+One of the primary functions of computers is to parse data. Some data is easier to parse than other data, and voice input continues to be a work in progress. There have been many improvements in the area in recent years, though, and one of them is in the form of DeepSpeech, a project by Mozilla, the foundation that maintains the Firefox web browser. DeepSpeech is a voice-to-text command and library, making it useful for users who need to transform voice input into text and developers who want to provide voice input for their applications.
+
+### Install DeepSpeech
+
+DeepSpeech is open source, released under the Mozilla Public License (MPL). You can download the source code from its [GitHub][2] page.
+
+To install, first create a virtual environment for Python:
+
+
+```
+`$ python3 -m pip install deepspeech --user`
+```
+
+DeepSpeech relies on machine learning. You can train it yourself, but it's easiest just to download pre-trained model files when you're just starting.
+
+
+```
+
+
+$ mkdir DeepSpeech
+$ cd Deepspeech
+$ curl -LO \
+<https://github.com/mozilla/DeepSpeech/releases/download/vX.Y.Z/deepspeech-X.Y.Z-models.pbmm>
+$ curl -LO \
+<https://github.com/mozilla/DeepSpeech/releases/download/vX.Y.Z/deepspeech-X.Y.Z-models.scorer>
+
+```
+
+### Applications for users
+
+With DeepSpeech, you can transcribe recordings of speech to written text. You get the best results from speech cleanly recorded under optimal conditions. However, in a pinch, you can try any recording, and you'll probably get something you can use as a starting point for manual transcription.
+
+For test purposes, you might record an audio file containing the simple phrase, "This is a test. Hello world, this is a test." Save the audio as a `.wav` file called `hello-test.wav`.
+
+In your DeepSpeech folder, launch a transcription by providing the model file, the scorer file, and your audio:
+
+
+```
+
+
+$ deepspeech --model deepspeech*pbmm \
+\--scorer deepspeech*scorer \
+\--audio hello-test.wav
+
+```
+
+Output is provided to the standard out (your terminal):
+
+
+```
+`this is a test hello world this is a test`
+```
+
+You can get output in JSON format by using the `--json` option:
+
+
+```
+
+
+$ deepspeech --model deepspeech*pbmm \
+\-- json
+\--scorer deepspeech*scorer \
+\--audio hello-test.wav
+
+```
+
+This renders each word along with a timestamp:
+
+
+```
+
+
+{
+  "transcripts": [
+    {
+      "confidence": -42.7990608215332,
+      "words": [
+        {
+          "word": "this",
+          "start_time": 2.54,
+          "duration": 0.12
+        },
+        {
+          "word": "is",
+          "start_time": 2.74,
+          "duration": 0.1
+        },
+        {
+          "word": "a",
+          "start_time": 2.94,
+          "duration": 0.04
+        },
+        {
+          "word": "test",
+          "start_time": 3.06,
+          "duration": 0.74
+        },
+[...]
+
+```
+
+### Developers
+
+DeepSpeech isn't just a command to transcribe pre-recorded audio. You can also use it to process audio streams in real time. The GitHub repository [DeepSpeech-examples][3] is full of JavaScript, Python, C#, and Java for Android.
+
+Most of the hard work is already done, so integrating DeepSpeech usually is just a matter of referencing the DeepSpeech library and knowing how to obtain the audio from the host device (which you generally do through the `/dev` filesystem on Linux or an SDK on Android and other platforms.)
+
+### Speech recognition
+
+As a developer, enabling speech recognition for your application isn't just a fun trick but an important accessibility feature that makes your application easier to use by people with mobility issues, low vision, and chronic multi-taskers who like to keep their hands full. As a user, DeepSpeech is a useful transcription tool that can convert audio files into text. Regardless of your use case, try DeepSpeech and see what it can do for you.
+
+--------------------------------------------------------------------------------
+
+via: https://opensource.com/article/22/1/voice-text-mozilla-deepspeech
+
+作者：[Seth Kenlon][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/seth
+[b]: https://github.com/lujun9972
+[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/colorful_sound_wave.png?itok=jlUJG0bM (Colorful sound wave graph)
+[2]: https://github.com/mozilla/DeepSpeech
+[3]: https://github.com/mozilla/DeepSpeech-examples