Aditya Deshmukh,Arman Khan,Vedika Patil,Kishor Bhangale

This project aims to develop a system for extracting Mel-Frequency Cepstral Coefficients (MFCCs) from raw audio signals, and subsequently transmitting this feature data via USB to a laptop for further processing. MFCCs is widely used features in speech recognition, speaker identification, and other audio-based applications due to their ability to capture essential characteristics of the human voice. By extracting these features efficiently and transmitting them to a more powerful computing platform, this project seeks to provide a foundation for advanced speech processing tasks. The system will consist of an embedded platform (here, FPGA). It will be responsible for acquiring audio signals, performing preprocessing, extracting MFCC feature, and transmitting the feature data via USB to the laptop.

https://doi.org/10.58357/jedcs.2025.v4.i1.8