VQ-VAE for Acoustic Unit Discovery and Voice Conversion

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.

Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion

Source code complementing our paper for acoustic event classification using convolutional neural networks.

Use machine learning models to detect lies based solely on acoustic speech information

Acoustic mosquito detection code with Bayesian Neural Networks

🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.

keras_multi_target_signal_recognition Underwater single channel acoustic multiple targets recognition using ResNet, DenseNet, and Complex-Valued convolutional nerual networks. keras-gpu 2.2.4 with tensorflow-gpu 1.12.0 backend.

Tools and functions for neural data processing and analysis in python

An ensemble bagged trees classification approach for monitoring of the engine conditions and fault diagnosis using Visual Dot Patterns of acoustic and vibration Signals

A BCNN prediction pipeline to discover mosquito sounds from audio.

The project is related to the development of labs for the ITMO Speaker Recognition Course.

Acoustic features in Julia

Multimodal Exponentially Modified Gaussians with Optional Oscillation

Acoustic sentiment analysis for emotion classification

A dynamically adaptable neural network-based replay spoofing attack detection system.

Script to extract acoustic features from speech using OpenSmile toolkit.

predicting music track success (revenue) via acoustic and metadata features

Calculate temporal and spectral envelope of vowel