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cst781's Projects

ismir2020_u_nets_svs icon ismir2020_u_nets_svs

A PyTorch Implementation of the paper - Choi, Woosung, et al. "Investigating u-nets with various intermediate blocks for spectrogram-based singing voice separation." 21th International Society for Music Information Retrieval Conference, ISMIR. 2020.

mockingbird icon mockingbird

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

neural_sp icon neural_sp

End-to-end ASR/LM implementation with PyTorch

nuwave icon nuwave

NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021 Accepted

onair-music-dataset icon onair-music-dataset

:musical_note: a new stem dataset for Music Demixing research, from the OnAir royalty-free music project

opencpop icon opencpop

Opencpop: A High-Quality Open Source Chinese Popular Song Database for Singing Voice Synthesis

phasen icon phasen

A unofficial Pytorch implementation of Microsoft's PHASEN

platerecognition icon platerecognition

An open source car license plate recognition python lib based on HyperLPR; Trained OpenCV’s cascaded target detector; Used Hard Sample Mining to crop out the detected error areas;

pysepm icon pysepm

Python implementation of performance metrics in Loizou's Speech Enhancement book

rnn-transducer icon rnn-transducer

A Pytorch Implementation of Transducer Model for End-to-End Speech Recognition

s3prl icon s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit.

setk icon setk

Tools for Speech Enhancement integrated with Kaldi

speech-enhancement icon speech-enhancement

Collection of papers, datasets and tools on the topic of Speech Dereverberation and Speech Enhancement

speech-transformer icon speech-transformer

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

sudo_rm_rf icon 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.

svs-icassp2022 icon svs-icassp2022

Code for the paper "MULTI-BAND MASKING FOR WAVEFORM-BASED SINGING VOICE SEPARATION" that was submitted on ICASSP2022

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