This repository contains official pytorch implementation for “ADDITIVE CONSISTENCY LEARNING FOR ROBUST SPEAKER VERIFICATION IN NOISY ENVIRONMENTS” paper.

This repository contains official pytorch implementation for “Enhancing Audio Deepfake Detection by Improving Representation Similarity of Bonafide Speech” paper.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Pytorch implementation of FA-ExU-Net: the simultaneous training of an embedding extractor and enhancement model for a speaker verification system robust to short noisy utterances

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Improving Noise Robustness in Self-supervised Pre-trained Model for Speaker Verification

Noise-Aware Extended U-Net for Speaker Verification in Noisy Environments

This repository contains official pytorch implementation and pre-trained models for the MR-RawNet.

In defence of metric learning for speaker recognition

Today I Learned

This code is for "Segment Aggregation for short utterances speaker verification using raw waveforms" in INTERSPEECH 2020.