EARS: Environmental Audio Recognition System
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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.
Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify music genres.
Minimalist Speech-to-Text toolkit for educational purposes
Quranic sound recognizer to detect any wrong recitation
Dockerized benchmark model & API for classifying music by genre based on TensorFlow and Essentia
Tool for Voice Based Medicine Prescriptions
Nocmig bird sound detection
Audio recognition evaluation with shazam fingerprint.
python code for machine learning
Lightweight audio recognition. Based on Will Drevo's article on audio fingerprinting.
Information system for recognition of musical genre of an audio file
Audio Fingerprinting and Recognition (in Python 3)
Python script for sound fingerprinting and recogniton, with database capabilities.
Ruisbestendige muziekherkenning | PWS Bas van den Boom 2018-2019
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