Merge branch 'update-v1.3.0'

RELEASE_NOTES.md

@@ -1,36 +1,48 @@
 # General
 
-This is the 1.2.0 release for Coqui STT, the deep learning toolkit for speech-to-text. In accordance with [semantic versioning](https://semver.org/), this version is backwards compatible with previous 1.x versions. The compatibility guarantees of our semantic versioning cover the deployment APIs: the C API and all the official language bindings: Python, Node.JS/ElectronJS and Java/Android. You can get started today with Coqui STT 1.2.0 by following the steps in our [documentation](https://stt.readthedocs.io/).
+This is the 1.3.0 release for Coqui STT, the deep learning toolkit for speech-to-text. In accordance with [semantic versioning](https://semver.org/), this version is backwards compatible with previous 1.x versions. The compatibility guarantees of our semantic versioning cover the deployment APIs: the C API and all the official language bindings: Python, Node.JS/ElectronJS and Java/Android. You can get started today with Coqui STT 1.3.0 by following the steps in our [documentation](https://stt.readthedocs.io/).
 
 Compatible pre-trained models are available in the [Coqui Model Zoo](https://coqui.ai/models).
 
 We also include example audio files:
 
-[audio-1.2.0.tar.gz](https://github.com/coqui-ai/STT/releases/download/v1.2.0/audio-1.2.0.tar.gz)
+[audio-1.3.0.tar.gz](https://github.com/coqui-ai/STT/releases/download/v1.3.0/audio-1.3.0.tar.gz)
 
 which can be used to test the engine, and checkpoint files for the English model (which are identical to the 1.0.0 checkpoint and provided here for convenience purposes):
 
-[coqui-stt-1.2.0-checkpoint.tar.gz](https://github.com/coqui-ai/STT/releases/download/v1.2.0/coqui-stt-1.2.0-checkpoint.tar.gz)
+[coqui-stt-1.3.0-checkpoint.tar.gz](https://github.com/coqui-ai/STT/releases/download/v1.3.0/coqui-stt-1.3.0-checkpoint.tar.gz)
 
 which are under the Apache 2.0 license and can be used as the basis for further fine-tuning. Finally this release also includes a source code tarball:
 
-[v1.2.0.tar.gz](https://github.com/coqui-ai/STT/archive/v1.2.0.tar.gz)
+[v1.3.0.tar.gz](https://github.com/coqui-ai/STT/archive/v1.3.0.tar.gz)
 
 Under the [MPL-2.0 license](https://www.mozilla.org/en-US/MPL/2.0/). Note that this tarball is for archival purposes only since GitHub does not include submodules in the automatic tarballs. For usage and development with the source code, clone the repository using Git, following our [documentation](https://stt.readthedocs.io/).
 
 # Notable changes
 
- - Added Python 3.10 support
- - Added [new inference APIs](https://stt.readthedocs.io/en/latest/search.html?q=flushbuffers&check_keywords=yes&area=default) which process any pending data before returning transcription results
- - Added an importer for using data from Common Voice's new personal data downloader, and [a Jupyter notebook which creates a custom STT model using your data](https://github.com/coqui-ai/STT/tree/main/notebooks#python-notebooks-for--stt)
- - Improved and extend evaluate_tflite script (now evaluate_export module) with Opus support
- - Added support for Ogg/Vorbis encoded audio files as training inputs
- - Added an importer for the Att-HACK dataset
- - Model dimensions are now loaded automatically from a checkpoint if present
- - Checkpoint loader will now handle CuDNN checkpoints transparently, without an explicit flag
- - When starting a training run, a batch size check will be performed automatically to help diagnose memory issues early
- - Added support for using WebDataset for training datasets
- - Updated to TensorFlow Lite 2.8, including [new XNNPACK optimizations for quantized models](https://blog.tensorflow.org/2021/09/faster-quantized-inference-with-xnnpack.html)
+ - Added new experimental APIs for loading Coqui STT models from memory buffers
+
+    This allows loading models without writing them to disk first, which can be useful for dynamic model loading as well as for handling packaging in mobile platforms
+
+ - Added ElectronJS 16 support
+ - Rewritten audio processing logic in iOS demo app
+ - Added pre-built binaries for iOS/Swift bindings in CI
+
+    With these two changes we're hoping to get more feedback from iOS developers on our Swift bindings and pre-built STT frameworks - how can we best package and distribute the bindings so that it feels native to Swift/iOS developers? If you have any feedback, join [our Gitter room](https://gitter.im/coqui-ai/STT)!
+
+ - Extended the Multilingual LibriSpeech importer to support all languages in the dataset
+
+    Supported languages: English, German, Dutch, French, Spanish, Italian, Portuguese, Polish
+
+ - Exposed full metadata information for decoded samples when using the coqui_stt_ctcdecoder Python package
+
+    This allows access to the entire information returned by the decoder in training code, meaning experimenting with new model architectures doesn't require adapting the C++ inference library to test your changes.
+
+ - Added initial support for Apple Silicon in our pre-built binaries
+
+     C/C++ pre-built libraries are universal, language bindings will be updated soon
+
+ - Added support for FLAC files in training
 
 # Documentation
 
@@ -42,15 +54,13 @@ Documentation is available on [stt.readthedocs.io](https://stt.readthedocs.io/).
 3. [Gitter](https://gitter.im/coqui-ai/) - You can also join our Gitter chat.
 4. [Issues](https://github.com/coqui-ai/STT/issues) - If you have discussed a problem and identified a bug in 🐸STT, or if you have a feature request, please open an issue in our repo. Please make sure you search for an already existing issue beforehand!
 
-# Contributors to 1.2.0 release
+# Contributors to 1.3.0 release
 
- - Alexandre Lissy
- - Aya AlJafari
+ - Alessio Placitelli
  - Danny Waser
- - Jeremiah Rose
- - Jonathan Washington
- - Josh Meyer
+ - Erik Ziegler
+ - Han Xiao
  - Reuben Morais
- - Vincent Fretin
+ - Danny Waser
 
 We’d also like to thank all the members of our [Gitter chat room](https://gitter.im/coqui-ai/STT) who have been helping to shape this release!

training/coqui_stt_training/VERSION

@@ -1 +1 @@
-1.3.0-alpha.4
+1.3.0