# About
The goal of this project is to train a speech recognition model for audio to the International Phonetic Alphabet for American English. 
It is based on [Multipa](https://github.com/ginic/multipa) and Wav2vec2 model architecture trained on the [LibriSpeech](https://huggingface.co/datasets/librispeech_asr) dataset. 

The project is currently a work in progress. 
{"language": ["en"], "license": "mit", "datasets": ["librispeech_asr"], "pipeline_tag": "automatic-speech-recognition"}
transformers pytorch wav2vec2 automatic-speech-recognition en dataset:librispeech_asr license:mit endpoints_compatible has_space region:us