26 Open source projects that are alternatives of or similar to TasNet

An implementation of audio source separation tools.

A PyTorch implementation of the paper: "AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries" (ACM Multimedia 2021)

Maven plugin to handle multi module projects for PiTest

Time-domain Audio Separation Network (IN PYTORCH)

Keras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation

UniSpeech - Large Scale Self-Supervised Learning for Speech

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.

Unsupervised Representation Learning for Singing Voice Separation

target speaker extraction and verification for multi-talker speech

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

Tools of soundscape information retrieval, this repository is a developing project. Please go to https://github.com/meil-brcas-org/soundscape_IR for full releases.

A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.

Audio source separation (mixture to vocal) using the Wavenet

Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

Neural Turing machine for source separation in Tensorflow

A PaddlePaddle version image model zoo.

Script to calculate SNR and SDR using python

React 中的坑

shadow table.

Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks

Control mechanisms to the U-Net architecture for doing multiple source separation instruments

End-to-End Speech Processing Toolkit

A unofficial Pytorch implementation of Google's VoiceFilter

Constrained Permutation Invariant Training, Speech Separation

According to funcwj's uPIT, the training code supporting multi-gpu is written, and the Dataloader is reconstructed.