-
Updated
Jun 14, 2021 - Python
{{ message }}
A PyTorch-based Speech Toolkit
Lingvo
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.
DELTA is a deep learning based natural language and speech processing platform.
Silero Models: pre-trained speech-to-text, text-to-speech models and benchmarks made embarrassingly simple
Production First and Production Ready End-to-End Speech Recognition Toolkit
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
SincNet is a neural architecture for efficiently processing raw audio samples.
A Python wrapper for Kaldi
The official repository of the Eesen project
Design a logo for LibreASR and share it here.
To make an open source project cool, it should have a logo
an open-source implementation of sequence-to-sequence based speech processing engine
Open STT
A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
End-to-end ASR/LM implementation with PyTorch
On-device streaming speech-to-text engine powered by deep learning
Open tools and data for cloudless automatic speech recognition
Sequence-to-Sequence Framework in PyTorch
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Chinese text normalization for speech processing
Dockerfile for kaldi-gstreamer-server.
Kaldi-based Korean ASR (한국어 음성인식) open-source project
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.
Add a description, image, and links to the asr topic page so that developers can more easily learn about it.
To associate your repository with the asr topic, visit your repo's landing page and select "manage topics."
One can use https://github.com/s-yata/marisa-trie to save a lot of space for symbols.