About this document
Audio Signal Processing and Clustering Analysis by Rohit Jadekar is a document available to read on EtoBox.
This report details the implementation of an audio processing pipeline for clustering and classification, focusing on feature extraction from audio files. Key features extracted include MFCCs, Zero Crossing Rate, and spectral characteristics, which are essential for machine learning tasks. The report also includes waveform and Mel spectrogram analyses, providing insights into the audio
- Author
- Rohit Jadekar
- Language
- EN