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audio_signal_processing

Audio or speech signal processing guide.

be-a-professional-programmer

成为专业程序员路上用到的各种优秀资料、神器及框架

concurrent_speakers_counter

Estimate the number of concurrent speakers from single channel mixtures to crack the "cocktail-party” problem.

conv-tasnet

conv-tasnet-1

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

deep-clustering

A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation

deep-clustering-1

deep clustering method for single-channel speech separation

dl-4-tsc

Deep Learning for Time Series Classification

dual-path-rnn-pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

dual-path-rnns-dprnns-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

hello-world

yeah, this my first show in Github.

pit-speech-separation

pycharm

separation_data_preparation

Data preparation for separation

speakercount

NN to count speakers on audio

speechbrain

A PyTorch-based Speech Toolkit

tasnet

A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.

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.

wave-samples

The wave samples for the paper of "End-to-End Post-filter for Speech Separation with Deep Attention Fusion Features"