There are 1 repository under acoustic-features topic.
VQ-VAE for Acoustic Unit Discovery and Voice Conversion
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
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.
Multimodal Exponentially Modified Gaussians with Optional Oscillation
Acoustic sentiment analysis for emotion classification
A dynamically adaptable neural network-based replay spoofing attack detection system.
Calculate temporal and spectral envelope of vowel
predicting music track success (revenue) via acoustic and metadata features
Script to extract acoustic features from speech using OpenSmile toolkit.
Extracting and analyzing acoustic and lyrical features of popular music on Spotify and study their relationship with their performance in terms of number of weekly plays.
The project is related to the development of labs for the ITMO Digital Signal Processes
Mobile application that uses audio sampling to perform acoustic mapping 🔊
Non-linguistic approach to predicting Alzheimer's disease
Analysis the various patterns of genre people listen to,their popularity and acoustic features
This repository is dedicated to training a machine learning model to classify voices as male or female based on their acoustic properties.