My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.
Automated Reproducible Acoustical Analysis
A simple python3 code to calculate the similarity ratio of people's voices & detect the same person
Voice Activity Detection in speech signals using short time energy and zero-crossings rate
Matlab tools for pathological voice analysis
LPC(線形予測分析)法によるホルマント周波数とピッチ周波数を推定する簡略的なプログラム。
BioVoice: a multipurpose tool for voice analysis
VOIS.AI is a web app to transcribe and examine the way a person talks:
Acoustic sentiment analysis for emotion classification
Speaker Recognition using MFCC feature vectors and GLA vector quantization models
A trial estimation of vocal tract as simple tube model
A machine learning-based web app for detecting Parkinson's disease from voice recordings. The app extracts key voice features, applies pre-trained models, and provides real-time predictions of Parkinson's likelihood. Built using Streamlit, Librosa, and scikit-learn.
A chronic laryngitis analysis application.
This repository contains code for a deep learning project aimed at analyzing voice data using spectrograms and a ResNet-152 architecture using the UrbanSound8K dataset
My telecommunications engineering bachelor thesis on 'Big data analytics to assess personality based on voice analysis' was a project in collaboration with AUDIAS-UAM researching team and UAM's faculty of Psychology. Data was confidential so it was not uploaded
A simple python application to analyze the emotion of the voice of any uploaded audio clip.
Real-time browser-based speaker tracking app that uses voice feature analysis (pitch, formants, MFCC, and VAD) to detect, distinguish, and time multiple speakers locally without recording audio.
B.Tech final year project (Research Project)
A trial estimation of glottal source spectrum by anti-formant filter and inverse radiation filter
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