The project is related to the development of labs for the ITMO Digital Signal Processes
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Updated
Sep 30, 2022 - Jupyter Notebook
The project is related to the development of labs for the ITMO Digital Signal Processes
Non-linguistic approach to predicting Alzheimer's disease
Mobile application that uses audio sampling to perform acoustic mapping 🔊
Analysis the various patterns of genre people listen to,their popularity and acoustic features
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.
A dynamically adaptable neural network-based replay spoofing attack detection system.
Script to extract acoustic features from speech using OpenSmile toolkit.
Calculate temporal and spectral envelope of vowel
predicting music track success (revenue) via acoustic and metadata features
Acoustic sentiment analysis for emotion classification
Multimodal Exponentially Modified Gaussians with Optional Oscillation
The project is related to the development of labs for the ITMO Speaker Recognition Course.
A BCNN prediction pipeline to discover mosquito sounds from audio.
An ensemble bagged trees classification approach for monitoring of the engine conditions and fault diagnosis using Visual Dot Patterns of acoustic and vibration Signals
Tools and functions for neural data processing and analysis in python
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.
Acoustic mosquito detection code with Bayesian Neural Networks
Use machine learning models to detect lies based solely on acoustic speech information
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