This package aims at simplifying the download of the AudioSet dataset.

A family of diffusion models for text-to-audio generation.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Deep Noise Suppression for Real Time Speech Enhancement in a Single Channel Wide Band Scenario

The official repo: "McNet: Fuse Multiple Cues for Multichannel Speech Enhancement", ICASSP 2023

A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, …

Real-time speech enhancement mobile app using Nested U-Net

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

A data augmentations library for audio, image, text, and video.

Pytorch code for "Rethinking CNN Models for Audio Classification"

A guide and set of tools for working with TinyML powered Audio Sensors

Code for YouTube series: Deep Learning for Audio Classification

NNtrainer is Software Framework for Training Neural Network Models on Devices.

A library for soundscape synthesis and augmentation

Python library for rapid prototyping of environmental sound analysis systems

ESPHome is a system to control your ESP8266/ESP32 by simple yet powerful configuration files and control them remotely through Home Automation systems.

ESP32 wake word detection with tensor flow

This repository is a collection of TTS Models in TFLite

Oxford Deep NLP 2017 course

This repository contains implementations and illustrative code to accompany DeepMind publications

A VGGish-based DNN trained on the Watkins Marine Mammal Sound Database, with transfer learning from Audioset, to detect multiple marine mammal species.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Urban Sound Classification : striving towards a fair comparison

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal…

Urban Sound Classification: With Random Forest, SVM, DNN, RNN, and CNN Classifiers