Repository for Computational Human Behavior Model

Identification of accent of an english speaker with their speech signal.

This repository houses a robust speech emotion recognition system, featuring signal processing scripts, machine learning algorithms, and comprehensive documentation. It accurately classifies emotions in spoken language, enabling applications like sentiment analysis and emotion-aware systems.

DynamicFluency - Monitor and understand the dynamicity of linguistic aspects in (L2) speech

I'm stuck on my project. Mainly my project is based on Speech Analysis. It must convert Speech to text. like wise if rndom person says play or pause on media player it must play or pause. And i'm stuck here please do help me

Analysis of Inaugural Speeches

Matilda's cochlea is a Python app that is constantly listening to the environment looking for commands

A trial estimation of glottal source spectrum by anti-formant filter and inverse radiation filter

Feature Extraction and Classification of Voice Signals

Speech dictation using GCP Speech Recognition api and analyze speech for pitch detection and answer.

The base python package for DynamicFluency: Monitor and understand the dynamicity of linguistic aspects in (L2) speech

CNN neural network for Speech Onset Time(SOT) detection in Mandarin

Online speech/noise classifier by random forest model. demo at:

This Node.js script takes the audios from the Input folder and sends them to Azure Pronunciation Assessment and saves the results in the Output folder.

This is the github repository for the paper "A novel framework using neutrosophy for inetgrated speech and sentiment analysis"

An hate speech detection built from scratch with NLTK, WordCloud, and word_tokenize.

This is the v0.1 of TATA a Twitter Account Toxicity Analyzer

Анализ речевых сигналов при помощи дискретного преобразования Фурье

The code computes the STFT of the audio signal using overlapping windows, and various features can be extracted from the resulting STFT matrix, which can then be used to train a machine learning model, such as an SVM, to classify the emotional state of the speaker.

A basic toolkit for speech analytics, using GPT and Whisper-X