Automatic Speaker Recognition using Mel Frequency Cepstral Coefficients (MFCC) and Fast Fourier Transform (FFT)
| dc.contributor.author | AMEUR Nehal | |
| dc.contributor.author | ENCA/ Dr. KHENNOUF Salah | |
| dc.date.accessioned | 2026-01-04T09:59:58Z | |
| dc.date.available | 2026-01-04T09:59:58Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | This work focuses on automatic speaker verification identity via his voice, which is a recent task of the Automatic Speaker Recognition field. This work is divided into two phases: The first phase "called training or learning phase" consists of acquiring and saving audio recordings of a group of speakers into PC. In the second phase "testing phase", an anonymous speech is introduced and compared its characteristics with the characteristics of previous recordings, using a set of algorithms (such as: MFCC, FFT) to make a decision. The speech files that were recorded and processed in this work are obtained using a personal computer microphone instead of special equipment, which explains the weakness of the obtained results. | |
| dc.identifier.uri | https://repository.univ-msila.dz/handle/123456789/48083 | |
| dc.language.iso | en | |
| dc.publisher | University of Msila | |
| dc.title | Automatic Speaker Recognition using Mel Frequency Cepstral Coefficients (MFCC) and Fast Fourier Transform (FFT) | |
| dc.type | Thesis |