In this project, Speech recognition system in MATLAB environment is explained. Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Wrapping (DTW) are two algorithms adapted for feature ...

Abstract: In this paper, an acoustic feature extraction method based on mel frequency cepstral coefficients (MFCC) was implemented on FPGA for real-time respiratory sound analysis. The proposed ...

This project uses machine learning approach to recognise speaker based on features extracted from recorded speech. Initial idea was taken from an MathWorks article where they demonstrated the method ...

Abstract: Speech recognition is has been used in wide applications such as Voice-Activated Systems, Virtual Assistants, and Interactive Voice Responses (IVR). Feature extraction is a crucial stage in ...

1 Electrical Engineering Department, High Institute of Science and Technology, Sūqal-Jum’a, Tripoli, Libya 2 Electrical & Computer Engineering Department, Florida ...

1 Electrical Engineering Department, High Institute of Science and Technology, Sūqal-Jum’a, Tripoli, Libya. 2 Electrical & Computer Engineering Department, Florida Institute of Technology, Melbourne, ...

このツールは、2つのPythonスクリプトで構成されています。 mfcc_based_audio_similarity_analyzer.py オーディオファイルのMFCC（Mel ...