faegnir / speaker-recognition-analysis

Speaker Recognition & Analysis

Speaker Recognition & Analysis

This is a speaker recognition and analysis project that allows users to upload or record a speech on a Flask web server and predicts the speaker's identity among the trained speakers. The web application also displays the transcript, waveform and spectrogram of the uploaded audio.

Screenshots

       

Acknowledgments

American Rhetoric Speech Bank - Gathered a dataset from this source. You can also create your own dataset to predict from speakers that you trained, using files on py_audio_process directory.

Leopard Speech-to-Text - Used this library for speech-to-text purposes.