wavlm

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Self-Supervised Speech Pre-training and Representation Learning Toolkit

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

A low-bitrate single-codebook 16 kHz speech codec based on focal modulation

This repo contains the source code of the first deep learning-base singing voice beat tracking system. It leverages WavLM and DistilHuBERT pre-trained speech models to create vocal embeddings and trains linear multi-head self-attention layers on top of them to extract vocal beat activations. Then, it uses HMM decoder to infer signing beats and tempo.

A neural speech codec based on discrete WavLM representations

A collections of audio codecs with a standardized API

In this repository, the wavLM model is used for quality and poor quality data for speaker verification task, and the PyCM library is used for evaluation.

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

SOTA method for self-supervised speaker verification leveraging a large-scale pretrained ASR model.

This repository combines `WavLM`, a powerful speech representation model from Microsoft, with `MSDD` (Multi-Scale Diarization Decoder), a state-of-the-art approach for speaker diarization from Nvidia.

Universal Pooling Method for Speaker Verification Utilizing Pre-trained Multi-layer Features, 2025 preprint

This repo contains code used in the paper "Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detection"

WavLM Large + RawNetX Speaker Verification Base: End-to-End Speaker Verification Architecture

Acoustic Transformer Models for Audio Classification

CryCeleb2023 experiments