Automated Reproducible Acoustical Analysis
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Updated
May 20, 2024 - Python
Automated Reproducible Acoustical Analysis
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
detection of Parkinson's disease through analysis of acoustic features extracted from recordings.
Aprendizaje Automático - Trabajo Práctico 2 - Ensambles y análisis exploratorio
Unlock the insights hidden within your voice patterns with Voice Analyzer. Transcribe speech, translate languages, analyze word frequencies, and discover unique speaking patterns.
A simple python3 code to calculate the similarity ratio of people's voices & detect the same person
Analysing voice onset time (VOT) data using binary search and word similarity
Matlab tools for pathological voice analysis
VOIS.AI is a web app to transcribe and examine the way a person talks:
A trial estimation of vocal tract as simple tube model
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A simple python application to analyze the emotion of the voice of any uploaded audio clip.
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.
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
BioVoice: a multipurpose tool for voice analysis
Text-independent speaker identification system based on GMM
B.Tech final year project (Research Project)
Acoustic sentiment analysis for emotion classification
Speaker Recognition using MFCC feature vectors and GLA vector quantization models
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