MPD-Net: A parallel hybrid deep learning architecture combining CNN, LSTM, and Attention to diagnose Parkinson's Disease from acoustic features
The project is related to the development of labs for the ITMO Speaker Recognition Course.
A research-based voice analysis platform for mental health screening using machine learning
A Python app for classifying voice recordings using KNN and SVM models. Includes a graphical interface for training, evaluating, and classifying audio data with acoustic descriptors. Designed for audio analysis and machine learning experimentation.
Tools and functions for neural data processing and analysis in python
SMSAT: An Acoustic Dataset and Multi-Feature Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
ToneArcLib is an open-source audio analysis library that extracts expressive and structural features from music tracks using signal processing and ML techniques. Ideal for researchers, developers, and creatives building AI-driven music tools.
A curated collection of research papers with open-source implementations/datasets focused on in-situ process monitoring and adaptive control in laser-based additive manufacturing.
This repository contains a machine learning-based classification system for detecting speech disorders from acoustic and spectrogram features. It includes data preprocessing, feature extraction, and various classification models such as logistic regression, SVM, random forest, and CNNs.
The project is related to the development of Basics of Voice Biometrics lecture book for the ITMO Speaker Recognition Course.
This project analyzes Spanish speech data, focusing on acoustic features and demographics. It includes data cleaning, outlier detection, clustering, and time series modeling (ARIMA, Holt-Winters) to uncover patterns in speech duration and word frequency.
Report and scripts concerning the acoustic characterization of a novel microphone array system carried out in the context of the "Music and Acoustic Engineering Capstone" course of the Master's Degree in Music and Acoustic Engineering at Politecnico di Milano.
Whisper fine-tuning using Lightning
This repository is dedicated to training a machine learning model to classify voices as male or female based on their acoustic properties.
Non-linguistic approach to predicting Alzheimer's disease
A dynamically adaptable neural network-based replay spoofing attack detection system.
VQ-VAE for Acoustic Unit Discovery and Voice Conversion
Multimodal Exponentially Modified Gaussians with Optional Oscillation
Analysis the various patterns of genre people listen to,their popularity and acoustic features
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