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

Voice Activity Detection in speech signals using short time energy and zero-crossings rate

A simple python3 code to calculate the similarity ratio of people's voices & detect the same person

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

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 chronic laryngitis analysis application.

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 simple python application to analyze the emotion of the voice of any uploaded audio clip.

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

Unlock the insights hidden within your voice patterns with Voice Analyzer. Transcribe speech, translate languages, analyze word frequencies, and discover unique speaking patterns.

B.Tech final year project (Research Project)

Text-independent speaker identification system based on GMM

Band Pass Filter bank and its application to voice sound analysis