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ae-wavenet

Wavenet Autoencoder for Unsupervised speech representation learning (after Chorowski, Jan 2019)

ai-code

audio-resampling-in-python

Comparison of Python audio resampling implementations

autovc

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

bovw_2019

BOVW(Bag of Visual word)

control-vc

This is the implementation for "ControlVC: Zero-Shot Voice Conversion with Time-Varying Controls on Pitch and Rhythm"

cool-fashion-papers

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

crank

Non-parallel Voice Conversion

ddsp_pytorch

Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

dl-papers

dvector

Speaker embedding (d-vector) trained with GE2E loss

emotionalconversionstargan

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

extended_vqvae

f0-autovc

Pytorch implementation of "f0-consistent many-to-many non-parallel voice conversion via conditional autoencoder"

fpf-

fragmentvc

The official implementation of FragmentVC.

fullsubnet

Official PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

grouplatentembedding

Pytorch implementation of "Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion" [Interspeech 2019]

healthcare-data-analysis

i-want-to-study-data-science

데이터 사이언스를 공부하고 싶은 분들을 위한 글

machine-learning

market-data-cleaning

mi-nee

Mutual Information Neural Entropic Estimation

mine

A Pytorch implementation of the Mutual Information Neural Estimator

mine-pytorch

Mutual Information Neural Estimation in Pytorch

mysql

nonparaseq2seqvc_code

Implementation code of non-parallel sequence-to-sequence VC

pandas

pattern-recognition