mozilla
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DeepSpeech-examples
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Revert "Merge pull request #74 from lissyx/rename-stt-repo" 

This reverts commit 70fbd3beb0, reversing
changes made to adde02be16.
This commit is contained in:
Reuben Morais 2020-08-25 16:49:25 +02:00
Родитель bf192485a9
Коммит 394c134b0c
10 изменённых файлов: 19 добавлений и 19 удалений
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4
android_mic_streaming/README.md
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@ -8,8 +8,8 @@ Android demo application that streams audio from the microphone to mozilla voice
Download the pre-trained English model and extract it: Download the pre-trained English model and extract it:
``` ```
curl -LO https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.tflite curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.tflite
curl -LO https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer
``` ```
Move the model files `deepspeech-0.8.0-models.pbmm`, `deepspeech-0.8.0-models.scorer`, to the demo application's data directory on your android device. Move the model files `deepspeech-0.8.0-models.pbmm`, `deepspeech-0.8.0-models.scorer`, to the demo application's data directory on your android device.

6
electron/Readme.md
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@ -14,7 +14,7 @@ npm run rebuild
Download and extract audio files to `/public` directory Download and extract audio files to `/public` directory
``` ```
wget https://github.com/mozilla/STT/releases/download/v0.7.0/audio-0.7.0.tar.gz wget https://github.com/mozilla/DeepSpeech/releases/download/v0.7.0/audio-0.7.0.tar.gz
tar xfvz audio-0.7.0.tar.gz -C ./public/ tar xfvz audio-0.7.0.tar.gz -C ./public/
``` ```
@ -23,8 +23,8 @@ tar xfvz audio-0.7.0.tar.gz -C ./public/
``` ```
mkdir models mkdir models
cd models cd models
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer
cd .. cd ..
``` ```

2
electron/public/recognize-wav.js
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@ -14,7 +14,7 @@ function getModel(appDataPath, callback) {
else { else {
// if the model files do not exist, download and save them to AppData path // if the model files do not exist, download and save them to AppData path
console.log('\nDOWNLOADING MODEL TO: '+appDataPath+'\n'); console.log('\nDOWNLOADING MODEL TO: '+appDataPath+'\n');
const downloadPath = 'https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models'; const downloadPath = 'https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models';
download(downloadPath+'.pbmm', modelPath, function() { download(downloadPath+'.pbmm', modelPath, function() {
download(downloadPath+'.scorer', scorerPath, function() { download(downloadPath+'.scorer', scorerPath, function() {
callback(createModel(modelPath, scorerPath)); callback(createModel(modelPath, scorerPath));

2
ffmpeg_vad_streaming/README.MD
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@ -31,7 +31,7 @@ node ./index.js --audio rtmp://<IP>:1935/live/teststream \
``` ```
## Examples ## Examples
Real time streaming inference with Mozilla Voice STT's example audio ([audio-0.4.1.tar.gz](https://github.com/mozilla/STT/releases/download/v0.4.1/audio-0.4.1.tar.gz)). Real time streaming inference with Mozilla Voice STT's example audio ([audio-0.4.1.tar.gz](https://github.com/mozilla/DeepSpeech/releases/download/v0.4.1/audio-0.4.1.tar.gz)).
```bash ```bash
node ./index.js --audio $HOME/audio/2830-3980-0043.wav \ node ./index.js --audio $HOME/audio/2830-3980-0043.wav \
--scorer $HOME/models/kenlm.scorer \ --scorer $HOME/models/kenlm.scorer \

2
nim_mic_vad_streaming/README.md
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@ -10,7 +10,7 @@ Interface to both the libs is provided through NIM code.
## PREREQUISITIES : ## PREREQUISITIES :
* ```libmozilla_voice_stt.so``` * ```libmozilla_voice_stt.so```
Go to the [releases](https://github.com/mozilla/STT/releases/tag/v0.8.0) page and download the native client package based on your OS and CPU architecture. Go to the [releases](https://github.com/mozilla/DeepSpeech/releases/tag/v0.8.0) page and download the native client package based on your OS and CPU architecture.
Extract the ``libmozilla_voice_stt.so`` and put into the subdirectory depending on OS of native Client used. Extract the ``libmozilla_voice_stt.so`` and put into the subdirectory depending on OS of native Client used.

4
nim_mic_vad_streaming/linux_nim_vad_streaming/README.md
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@ -12,8 +12,8 @@ sudo apt-get install libasound2
2) Download the pre-trained Mozilla Voice STT english model (1089MB) and Scorer Package(~900MB): 2) Download the pre-trained Mozilla Voice STT english model (1089MB) and Scorer Package(~900MB):
``` ```
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer
``` ```

4
nim_mic_vad_streaming/win_nim_vad_streaming/README.md
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@ -8,8 +8,8 @@ Minimalistic example to demonstrate the Mozilla Voice STT streaming API in NIM.
2) Download the pre-trained Mozilla Voice STT english model (1089MB): 2) Download the pre-trained Mozilla Voice STT english model (1089MB):
``` ```
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer
``` ```

4
nodejs_mic_vad_streaming/Readme.md
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@ -11,8 +11,8 @@ either [sox](http://sox.sourceforge.net/) (Windows/Mac) or [arecord](http://alsa
2) Download the pre-trained Mozilla Voice STT english model (1089MB): 2) Download the pre-trained Mozilla Voice STT english model (1089MB):
``` ```
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer
``` ```
#### Dependency #### Dependency

6
nodejs_wav/Readme.md
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@ -3,8 +3,8 @@
Download the pre-trained model (1.8GB): Download the pre-trained model (1.8GB):
``` ```
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer
``` ```
Edit references to models path if necessary: Edit references to models path if necessary:
@ -23,7 +23,7 @@ brew install sox
Download test audio files: Download test audio files:
``` ```
wget https://github.com/mozilla/STT/releases/download/v0.8.0/audio-0.8.0.tar.gz wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/audio-0.8.0.tar.gz
tar xfvz audio-0.8.0.tar.gz tar xfvz audio-0.8.0.tar.gz
``` ```

4
web_microphone_websocket/Readme.md
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@ -6,8 +6,8 @@ to a NodeJS server and transmitting the Mozilla Voice STT results back to the br
#### Download the pre-trained model (1.8GB): #### Download the pre-trained model (1.8GB):
``` ```
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.pbmm
wget https://github.com/mozilla/STT/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer wget https://github.com/mozilla/DeepSpeech/releases/download/v0.8.0/deepspeech-0.8.0-models.scorer
``` ```
#### Install: #### Install: