a library for audio and music analysis
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Updated
Aug 3, 2024 - C
a library for audio and music analysis
A library for audio and music analysis, feature extraction.
Identify the emotion of multiple speakers in an Audio Segment
stm32-speech-recognition-and-traduction is a project developed for the Advances in Operating Systems exam at the University of Milan (academic year 2020-2021). It implements a speech recognition and speech-to-text translation system using a pre-trained machine learning model running on the stm32f407vg microcontroller.
Useful feature extraction for next step classification
Speaker Recognition using MFCC feature vectors and GLA vector quantization models
TVM on Azure Sphere Platform
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