Voice Activity Detection based on Deep Learning & TensorFlow

Audio feature extraction and classification

Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction

Using a raspberry pi, we listen to the coffee machine and count the number of coffee consumption

Tiny Machine Learning Snoring Detection Model for Embedded devices - Adriana Rotaru

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.

Multi-class audio classification with MFCC features using CNN

A RESTFUL API implementation of an authentification system using voice fingerprint

Detect alcohol induced intoxication level from a voice sample

Voice Activity Detector based on MFCC features and DNN model

MFCC features + SVM for speech emotion classification

A Python implementation of STFT and MFCC audio features from scratch

Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI

Audio classification using a simple SVM classifier making use of MFCC and Spectrogram features coded from scratch

A corpus that can be used to train English-to-Italian End-to-End Speech-to-Text Machine Translation models

Deep learning-based audio spoofing attack detection experiments for speaker verification.

An automatic speaker recognition system built from digital signal processing tools, Vector Quantization and LBG algorithm

Signal Processing Course project

Implementation of Mel-Frequency Cepstral Coefficients (MFCC) extraction