SQAT is an open-source repository of MATLAB codes containing the implementation of key metrics for quantitative sound quality analysis.

This repo aims to build a web app that supports speech recognition system 😃 It's simple to use and understand 😄

Official PyTorch implementation of "AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks"

Robust Speech Recognition via Large-Scale Weak Supervision

In defence of metric learning for speaker recognition

Baseline for the Spoofing-aware Speaker Verification Challenge 2022

UniSpeech - Large Scale Self-Supervised Learning for Speech

Implementation of the paper Diffusion Bridges Vector Quantized Variational Autoencoders.

implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

Samples for Complex VQ-VAE speech enhancement - ICASSP2021

A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR

A PyTorch-based Speech Toolkit

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

Python scripts for modelling timbral attributes

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

An STFT/iSTFT for PyTorch.

L-BFGS-B, converted from Fortran to C, with Matlab wrapper

Implementation of the Wave-U-Net for audio source separation

Source code accompanying O'Reilly book: Machine Learning Design Patterns

A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.

Vector Quantized VAEs - PyTorch Implementation

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Library for implementing RNNs with Theano

An Open Source Machine Learning Framework for Everyone

Tập hợp đủ 3 đồ án hệ điều hành nachos - môn hệ điều hành - khoa công nghệ thông tin - trường đại học khoa học tự nhiên tphcm - HCMUS