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

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

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

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

Voice Activity Detector based on MFCC features and DNN model

Detect alcohol induced intoxication level from a voice sample

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

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

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

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

Implementation of Mel-Frequency Cepstral Coefficients (MFCC) extraction

Another project for classifying Covid and non-covid patients through cough sound. Using CRNN-Attention model with the sound data converted into image data