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】

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SP_Lib

Signal processing method and algorithm library

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bssaec2020

A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation

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deep-casa

Tensorflow implementation of deep CASA

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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.

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doatools.py

A simple library for theoretical research on direction-of-arrival (DOA) estimation in array signal processing.

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MCNCC

Multi-Channel Normalized Cross-Correlation

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Sound_Localization_Algorithms

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

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Python-Wrapper-for-World-Vocoder

A Python wrapper for the high-quality vocoder "World"

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Cone-of-Silence

The Cone of Silence:

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Comparison-of-Blind-Source-Separation-techniques

Compare AIRES BSS with TRINICON, ILRMA and AuxIVA (online and offline versions)

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espnet

End-to-End Speech Processing Toolkit

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speex

Speex voice codec mirror - THIS IS A MIRROR, DEVELOPMENT HAPPENS AT https://gitlab.xiph.org/xiph/speex

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Transformer-TTS

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

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mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

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DNN-based_source_separation

A PyTorch implementation of DNN-based source separation.

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speechbrain

A PyTorch-based Speech Toolkit

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pysox

Python wrapper around sox.

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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.

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DNS-Challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

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DeepXi

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

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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.

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libri_css

Libri-CSS: dataset and evaluation pipeline

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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.

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SpEx_Plus

SpEx+(tied) source code

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two_step_mask_learning

A two step optimization for sound source separation on the adaptive front-end domain

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