#计算机科学#A PyTorch-based Speech Toolkit
#计算机科学#An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
#计算机科学#The PyTorch-based audio source separation toolkit for researchers
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
Unofficial PyTorch implementation of Google AI's VoiceFilter system
A must-read paper for speech separation based on neural networks
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
#计算机科学#Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
#计算机科学#This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
UniSpeech - Large Scale Self-Supervised Learning for Speech
#计算机科学#Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch
Tools for Speech Enhancement integrated with Kaldi
#计算机科学#Deep Recurrent Neural Networks for Source Separation
#计算机科学#The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN a...
#计算机科学#Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separa...
#计算机科学#Real-time GCC-NMF Blind Speech Separation and Enhancement