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Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Hydra is a framework for elegantly configuring complex applications
PyTorch implementation of "Squeezeformer: An Efficient Transformer for Automatic Speech Recognition" (NeurIPS 2022)
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
Pytorch实现的流式与非流式的自动语音识别框架，同时兼容在线和离线识别，目前支持Conformer、Squeezeformer、DeepSpeech2模型，支持多种数据增强方法。
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Working online speech recognition based on RNN Transducer. ( Trained model release available in release )
Streaming 가능한 RNN Transducer 모델을 PyTorch Lightning으로 구현해본다.
sooftware / openspeech
Forked from openspeech-team/openspeechOpen-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
A PyTorch Implementation of End-to-End Models for Speech-to-Text
PyTorch Implementations for End-to-End Automatic Speech Recognition
This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.
End-to-end ASR/LM implementation with PyTorch
kaldi-asr/kaldi is the official location of the Kaldi project.
⚡ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…
A fast parallel implementation of RNN Transducer.
Korean speech recognition based on transformer (트랜스포머 기반 한국어 음성 인식)
A pytorch_lightning reimplementation of the Transducer module from ESPnet.