SincNet is a neural architecture for efficiently processing raw audio samples.

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.

Speaker Identification System (upto 100% accuracy); built using Python 2.7 and python_speech_features library

Simple d-vector based Speaker Recognition (verification and identification) using Pytorch

Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"

Identifying people from small audio fragments

打造最简单的TTS前端集合，最简单的有声小说制作工作流。基于正则规则对小说进行分句，基于RoBERTa对小说中的对话进行说话人识别，从而实现一键式生成多人有声小说。多说话人的语音合成，高质量的有声小说制作。

[SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

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

Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)

Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"

Multi-speaker separation, identification, diarization ALL-IN-ONE. It can isolate the target speaker from a conversation audio and do ASR.

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

A tool for summarizing dialogues from videos or audio

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

Speakerbox: Fine-tune Audio Transformers for speaker identification.

声纹识别(Voiceprint Recognition, VPR)，也称为说话人识别(Speaker Recognition)，有两类，即说话人辨认(Speaker Identification)和说话人确认(Speaker Verification)

🔉 👦 👧 👩 👨 Speaker identification using voice MFCCs and GMM

Speaker identification powered by pyannote and resemblyzer