Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

An experimental project to demonstrate how a user keyboard input may be sniffed through the pattern analysis of the sounds emitted by the keystrokes.

Predicting emotions based on speech audio samples of American English, German and British English languages using Support Vector Machine, K-Nearest Neighbor, Random Forest and Recurrent Neural Network. Analyzing the performance of each model based on the dataset.

software that analyzes speech utterances

🏆 🏆 Top-1 Submission to CORSMAL Challenge 2020 (at ICPR). The winning solution for the CORSMAL Challenge (on Intelligent Sensing Summer School 2020)

Classification base on kernel SVM

This Bot can send emails to anyone, any number of times from a USER's account [used GMAIL, here], using MANUAL or VOICE input!

Web application to fight Covid19

Python program to display sound, amplitude and the different frequency ranges in your terminal window

Finds device that is capable of using loopback then opens a stream to get audio directly from system.

Convolutional Neural Network (CNN) functioning as a visual feature extractor and trained using raw speech information.

Conv2dAE nets as feature extractors VS hand-crafted 'pyaudioanalysis' features

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications