Tools and functions for neural data processing and analysis in python
-
Updated
Jul 9, 2024 - Python
Tools and functions for neural data processing and analysis in python
A dynamically adaptable neural network-based replay spoofing attack detection system.
VQ-VAE for Acoustic Unit Discovery and Voice Conversion
A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.
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.
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
Source code complementing our paper for acoustic event classification using convolutional neural networks.
Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion
Acoustic sentiment analysis for emotion classification
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Add a description, image, and links to the acoustic-features topic page so that developers can more easily learn about it.
To associate your repository with the acoustic-features topic, visit your repo's landing page and select "manage topics."