aishinchi's starred repositories
PaddleSpeech
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 Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.【安全加固,暂停交互,请耐心等待】
bssaec2020
A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation
Voice-Separation-and-Enhancement
A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.
doatools.py
A simple library for theoretical research on direction-of-arrival (DOA) estimation in array signal processing.
Sound_Localization_Algorithms
Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
Python-Wrapper-for-World-Vocoder
A Python wrapper for the high-quality vocoder "World"
Cone-of-Silence
The Cone of Silence:
Comparison-of-Blind-Source-Separation-techniques
Compare AIRES BSS with TRINICON, ILRMA and AuxIVA (online and offline versions)
Transformer-TTS
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
DNN-based_source_separation
A PyTorch implementation of DNN-based source separation.
speechbrain
A PyTorch-based Speech Toolkit
sudo_rm_rf
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 separating sources from mixtures.
DNS-Challenge
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.
fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Tutorial_Separation
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
two_step_mask_learning
A two step optimization for sound source separation on the adaptive front-end domain