EARS: Environmental Audio Recognition System

Classify audio with neural nets on embedded systems like the Raspberry Pi

ConvNets for Audio Recognition using Google Commands Dataset

Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch

SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

General purpose, real-time audio recognition engine

Flutter mobile application for audio recognition using Tensorflow Lite to integrate the classification model

Google Speech Command Dataset Classification Neural Network, CNN, RNN

📻💡 Recognize audio recordings with node and the acr-cloud recognition API

Redis Audio Track Recognition

基于SSM框架的听歌识曲系统

Audio classification using Keras with ESC-50 dataset.

This code was made in an effort to make it easier to find the song that has been dubbed as 'the most mysterious song on the internet' and it makes it possible to search youtube channels for songs without having to manually check the videos.

Detecting lip popping noises to trigger an action.

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and con…

Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify music genres.

Quranic sound recognizer to detect any wrong recitation

Vanilla Music player file Metadata Fetch plugin

Minimalist Speech-to-Text toolkit for educational purposes