Robust speaker identification system over AWGN channel using improved features extraction and efficient SAD algorithm with prior SNR estimation
This paper motivates the combination of Autoregressive (AR) parameters and Mel Frequency Cepstral Coefficients (MFCC) features for remote robust text-independent speaker identification. All speaker identification techniques start by converting the raw speech signal into a sequence of acoustic featur...
Gespeichert in:
Veröffentlicht in: | International Journal of Circuits, Systems and Signal Processing Systems and Signal Processing, 2016, Vol.10, p.108-118 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Schreiben Sie den ersten Kommentar!