EARS: Environmental Audio Recognition System
-
Updated
Apr 4, 2018 - Python
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
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.
Minimalist Speech-to-Text toolkit for educational purposes
Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify music genres.
Quranic sound recognizer to detect any wrong recitation
Tool for Voice Based Medicine Prescriptions
Nocmig bird sound detection
python code for machine learning
Audio recognition evaluation with shazam fingerprint.
Lightweight audio recognition. Based on Will Drevo's article on audio fingerprinting.
Information system for recognition of musical genre of an audio file
Ruisbestendige muziekherkenning | PWS Bas van den Boom 2018-2019
shazam like desktop app that you can select mp3 file and recognize the songs that matches the file and list them according to their similarity to the input file
Audio Fingerprinting and Recognition (in Python 3)
Python script for sound fingerprinting and recogniton, with database capabilities.
Add a description, image, and links to the audio-recognition topic page so that developers can more easily learn about it.
To associate your repository with the audio-recognition topic, visit your repo's landing page and select "manage topics."