r1.0 branch

Author: reuben

.gitignore

@@ -231,5 +231,6 @@ cython_debug/
 # <<<< Python <<<<
 
 /**/*.pbmm
+/**/*.tflite
 /**/*.scorer
 /**/*.wav

README.rst

@@ -1,13 +1,13 @@
-Coqui STT main branch Examples
-==============================
+Coqui STT 1.0.x Examples
+========================
 
 These are various examples on how to use or integrate 🐸STT using our packages.
 
 It is a good way to just try out 🐸STT before learning how it works in detail, as well as a source of inspiration for ways you can integrate it into your application or solve common tasks like voice activity detection (VAD) or microphone streaming.
 
 Contributions are welcome!
 
-**Note:** These examples target 🐸STT **main branch** only. If you're using a different release, you need to go to the corresponding branch for the release:
+**Note:** These examples target 🐸STT **1.0.x** only. If you're using a different release, you need to go to the corresponding branch for the release:
 
 * `v1.0.x <https://github.com/coqui-ai/STT-examples/tree/r1.0>`_
 * `v0.9.x <https://github.com/coqui-ai/STT-examples/tree/r0.9>`_

android_mic_streaming/README.md

@@ -6,17 +6,13 @@ Android demo application that streams audio from the microphone to STT and trans
 
 #### Download model
 
-Download the pre-trained English model and extract it:
-```
-curl -LO https://github.com/coqui-ai/STT/releases/download/v0.9.3/coqui-stt-0.9.3-models.tflite
-curl -LO https://github.com/coqui-ai/STT/releases/download/v0.9.3/coqui-stt-0.9.3-models.scorer
-```
+Download a pre-trained model and scorer from the [Coqui Model Zoo](https://coqui.ai/models).
 
-Move the model files `coqui-stt-0.9.3-models.pbmm`, `coqui-stt-0.9.3-models.scorer`, to the demo application's data directory on your android device.
+Move the model files (`.tflite`, `.scorer`), to the demo application's data directory on your android device.
 Mind that the data directory will only be present after installing and launching the app once.
 
 ```
-adb push coqui-stt-0.9.3-models.tflite coqui-stt-0.9.3-models.scorer /storage/emulated/0/Android/data/org.sttdemo/files/
+adb push model.tflite huge-vocab.scorer /storage/emulated/0/Android/data/org.sttdemo/files/
 ```
 
 You can also copy the files from your file browser to the device.

android_mic_streaming/app/build.gradle

@@ -34,7 +34,7 @@ dependencies {
     implementation 'androidx.core:core-ktx:1.0.2'
     implementation 'androidx.constraintlayout:constraintlayout:1.1.3'
 
-    implementation 'ai.coqui:libstt:0.9.3'
+    implementation 'ai.coqui:libstt:1.0.0'
 
     testImplementation 'junit:junit:4.12'
     androidTestImplementation 'androidx.test.ext:junit:1.1.0'

batch_processing/Readme.md

@@ -128,13 +128,13 @@ Running via the GPU takes half the time of using the CPU and has good results.
 
 # Driver command line
 
-`./driver.py --model c:/Users/jmike/Documents/GitHub/STT/coqui-stt-0.9.3-models.pbmm  --scorer c:/Users/jmike/Documents/GitHub/STT/coqui-stt-0.9.3-models.scorer --dirname c:/Users/jmike/Downloads/podcast/`
+`./driver.py --model model.tflite  --scorer huge-vocab.scorer --dirname some_dir`
 
 # Example
 
 It will then run the individual commands like :
 
-`stt --model C:\Users\jmike\Documents\GitHub\STT\coqui-stt-0.9.3-models.pbmm --scorer C:\Users\jmike\Documents\GitHub\STT\coqui-stt-0.9.3-models.scorer --audio 'C:\Users\jmike\Downloads\podcast\45374977-48000-2-24d9a365625bb.mp3.wav' --json`
+`stt --model model.tflite --scorer huge-vocab.scorer --audio audio.wav --json`
 
 
 Websites referenced:
@@ -154,4 +154,4 @@ https://hacks.mozilla.org/2019/12/coqui-stt-0-6-mozillas-speech-to-text-engine/
 https://palletsprojects.com/p/click/
 https://www.howtoforge.com/tutorial/ffmpeg-audio-conversion/
 https://www.joe0.com/2019/10/19/how-resolve-tensorflow-2-0-error-could-not-load-dynamic-library-cudart64_100-dll-dlerror-cudart64_100-dll-not-found/
-https://www.programcreek.com/python/example/88033/click.Path
+https://www.programcreek.com/python/example/88033/click.Path

batch_processing/driver.py

@@ -19,12 +19,12 @@
 @click.option("--ext", default=".mp3")
 @click.option(
     "--model",
-    default="coqui-stt-0.9.3-models.pbmm",
+    default="model.tflite",
     type=click.Path(exists=True, resolve_path=True),
 )
 @click.option(
     "--scorer",
-    default="coqui-stt-0.9.3-models.scorer",
+    default="huge-vocab.scorer",
     type=click.Path(exists=True, resolve_path=True),
 )
 

batch_processing/requirements.txt

@@ -10,7 +10,7 @@ cachetools==4.1.0
 certifi==2020.4.5.2
 chardet==3.0.4
 click==7.1.2
-STT==0.9.3
+STT==1.0.0
 delegator.py @ git+https://github.com/amitt001/delegator.py.git@194aa92543fbdbfbae0bcc24ca217819a7805da2
 flask==1.1.2
 gast==0.2.2

electron/Readme.md

@@ -14,17 +14,17 @@ npm run rebuild
 Download and extract audio files to `/public` directory
 
 ```
-wget https://github.com/coqui-ai/STT/releases/download/v0.9.3/audio-0.9.3.tar.gz
-tar xfvz audio-0.9.3.tar.gz -C ./public/
+wget https://github.com/coqui-ai/STT/releases/download/v1.0.0/audio-1.0.0.tar.gz
+tar xfvz audio-1.0.0.tar.gz -C ./public/
 ```
 
-(Optional) Download or softlink STT 0.9.3 model files to the root of the project:
+(Optional) Download a pre-trained model and scorer from the [Coqui Model Zoo](https://coqui.ai/models) to the root of the project:
 
 ```
 mkdir models
 cd models
-wget https://github.com/coqui-ai/STT/releases/download/v0.9.3/coqui-stt-0.9.3-models.pbmm
-wget https://github.com/coqui-ai/STT/releases/download/v0.9.3/coqui-stt-0.9.3-models.scorer
+mv $HOME/Downloads/model.tflite .
+mv $HOME/Downloads/huge-vocab.scorer .
 cd ..
 ```
 

electron/package.json

@@ -66,7 +66,7 @@
   "keywords": [],
   "license": "MIT",
   "dependencies": {
-    "STT": "^0.9.3",
+    "STT": "^1.0.0",
     "electron-is-dev": "^1.1.0",
     "lodash": "^4.17.15",
     "node-abi": "^2.18.0",

electron/public/electron.js

@@ -7,7 +7,7 @@ const {getModel} = require('./recognize-wav');
 
 let appDataPath;
 
-if (fs.existsSync(path.resolve(__dirname, '../models/coqui-stt-0.9.3-models.pbmm'))) {
+if (fs.existsSync(path.resolve(__dirname, '../models/model.tflite'))) {
 	// if the STT model was found at the root, use that directory
 	appDataPath = path.resolve(__dirname, '../models');
 }