Popular GitHub Repositories for Acoustic Properties

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

An open-source data logging library for machine learning models and data pipelines. ? Provides visibility into data quality & model performance over time. ?️ Supports privacy-preserving data collection, ensuring safety & robustness. ?

[ICLR 2025] SOTA discrete acoustic codec models with 40/75 tokens per second for audio language modeling

INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!

Gender recognition by voice and speech analysis

VQ-VAE for Acoustic Unit Discovery and Voice Conversion

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Control adaptive filters with neural networks.

Reading list for research topics in Sound AI

Profile and monitor your ML data pipeline end-to-end

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

A tool for automatic phoneme transcription

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

Foreign Accent Conversion by Synthesizing Speech from Phonetic Posteriorgrams (Interspeech'19)

Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion

Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.

Collection of data sets of molecules for a validation of properties inference

Acoustic models for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.