speaker-embeddings

Official repository for RawNet, RawNet2, and RawNet3

Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196

Implementation of Neural Voice Cloning with Few Samples Research Paper by Baidu

Speaker identification/verification models for Machine Learning for Computer Vision class at UNIBO

[ICASSP'23] Online speaker clustering

The project is related to the development of labs for the ITMO Speaker Recognition Course.

Angular triplet center loss implementation in Pytorch.

This repository contain the code of the main part of my master thesis degree at Politecnico di Torino in Data science & Engineering

Speaker diarization on VoxData — benchmarked state-of-the-art speaker embedding models against each other, built a custom diarization model, and compared clustering strategies.

I. Thoidis, C. Gaultier, and T. Goehring, "Perceptual Analysis of Speaker Embeddings for Voice Discrimination between Machine And Human Listening," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5

ReDimNet2 inference w/ ONNX

Deterministic checks for speaker-verification studies: detect F0-tracking contamination that can invert your statistics. Zero dependencies, no audio required.

Persistent speaker identity across audio files — a local voice registry that resolves diarization clusters to named speakers

Multi-resolution speaker embeddings with ReDimNet architecture and Matryoshka Representation Learning (MRL)

Research about how to design a robot sound from voice conversion and speaker embeddings

Generation of Novel Human Voices for Voice Anonymization. MSc Project, 2026 | UniStuttgart