880 Open source projects that are alternatives of or similar to End2end Asr Pytorch

Transformer implementation speciaized in speech recognition tasks using Pytorch.

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

Korean speech recognition based on transformer (트랜스포머 기반 한국어 음성 인식)

A pytorch based end2end speech recognition system.

End-to-end ASR/LM implementation with PyTorch

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

A Python wrapper for Kaldi

an open-source implementation of sequence-to-sequence based speech processing engine

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

A repo listing known open source voice tools, ordered by where they sit in the voice stack

Production First and Production Ready End-to-End Speech Recognition Toolkit

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Working online speech recognition based on RNN Transducer. ( Trained model release available in release )

A list of publically available audio data that anyone can download for ASR or other speech activities

Syn.Speech is a flexible speaker independent continuous speech recognition engine for Mono and .NET framework

Production First and Production Ready End-to-End Speech Recognition Toolkit

A list of publically available audio data that anyone can download for ASR or other speech activities

PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

Lingvo

transformer for ASR-systerm (via tensorflow2.0)

A live speech recognition using Facebooks wav2vec 2.0 model.

DELTA is a deep learning based natural language and speech processing platform.

PyTorch Implementations for End-to-End Automatic Speech Recognition

MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks

SOVA ASR (Automatic Speech Recognition)

End-to-end speech recognition on AISHELL dataset.

Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!

ASR with PyTorch

Open tools and data for cloudless automatic speech recognition

End-to-End Speech Processing Toolkit

A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.

Sequence-to-Sequence Framework in PyTorch

On-device streaming speech-to-text engine powered by deep learning

This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

A neural network for end-to-end speech denoising

Python interface to CMU Sphinxbase and Pocketsphinx libraries

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

💬 /so.nus/ STT (speech to text) for Node with offline hotword detection

💬 An On-Premises, Streaming Speech Recognition System

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Some simple wrappers around kaldi-asr intended to make using kaldi's (online) decoders as convenient as possible.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Facebook AI Research's Automatic Speech Recognition Toolkit

The official repository of the Eesen project

SincNet is a neural architecture for efficiently processing raw audio samples.

WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries

💬 Speech recognition for your site

A speech-to-text bot for discord with music commands and more using NodeJS. Ideally for controlling your Discord server using voice commands, can also be useful for hearing-impaired people.

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

Allosaurus is a pretrained universal phone recognizer for more than 2000 languages

Program to benchmark various speech recognition APIs

Speech Recognition model based off of FAIR research paper built using Pytorch.

Voice Activity Detection based on Deep Learning & TensorFlow

A PaddlePaddle implementation of ASR.

Speech Recognition Using Tacotron

Automatically constructing corpus for automatic speech recognition from YouTube videos