Useful feature extraction for next step classification
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Updated
Nov 6, 2017 - C
Useful feature extraction for next step classification
Speaker Recognition using MFCC feature vectors and GLA vector quantization models
TVM on Azure Sphere Platform
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.
Identify the emotion of multiple speakers in an Audio Segment
A library for audio and music analysis, feature extraction.
a library for audio and music analysis
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