32 Open source projects that are alternatives of or similar to speaker_extraction

PyTorch implementation of WASE described in our ICASSP 2021: "Wase: Learning When to Attend for Speaker Extraction in Cocktail Party Environments"

An implementation of audio source separation tools.

Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.

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.

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

Audio source separation (mixture to vocal) using the Wavenet

neural network based speaker embedder

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

Pytorch implementation of Generalized End-to-End Loss for speaker verification

This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1

MobileNet trained with VoxCeleb dataset and used for voice verification

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

kaldi-asr/kaldi is the official location of the Kaldi project.

DELTA is a deep learning based natural language and speech processing platform.

🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

D3M - Dynamic Data Discrepancy Mitigation for Anti-spoofing - Implementation of work Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection

A program for automatic speaker identification using deep learning techniques.

Develop speaker recognition model based on i-vector using TIMIT database

UniSpeech - Large Scale Self-Supervised Learning for Speech

Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)

Kaldi based speaker verification

Share some recent speaker recognition papers and their implementations.

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

PyTorch implementation of Densely Connected Time Delay Neural Network

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

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

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

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

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

Unsupervised Representation Learning for Singing Voice Separation