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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
A ML project to predict the gender of the person from the voice analysis. Dataset has been obtained from the kaggle and also included in this repository. Basic SVM (linear kernel) gives the accuracy ~ 97.8%.
Production ready and scalable pipeline built for Voice(Audio) Analysis which includes Speech-to-Text and then Enrichment(Summary, Sentiment, Word Cloud etc.) using Chat GPT.