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Cristin-resultat-ID:
183444
Sist endret:
21. oktober 2013, 12:14
Resultat
Vitenskapelig foredrag
2003
Robust Speech Recognition Using Features Based on Zero Crossing with Peak Amplitudes
Bojana Gajic
og
Kuldip Paliwal
Presentasjon
Presentasjon
Navn på arrangementet: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing
Sted: Hong Kong, China
Dato fra:
10. april 2003
Arrangør:
Arrangørnavn: [Mangler data]
Om resultatet
Om resultatet
Vitenskapelig foredrag
Publiseringsår: 2003
Importkilder
Importkilder
Bibsys-ID: r04005116
Beskrivelse
Beskrivelse
Engelsk
Tittel
Robust Speech Recognition Using Features Based on Zero Crossing with Peak Amplitudes
Sammendrag
This paper presents an extensive study of zero crossings with peak amplitudes (ZCPA) features, that have earlier been shown to outperform both conventional and auditory-based features in presence of additive noise. The study starts by optimizing different parameters involved in ZCPA feature computation, followed by a comparison of ZCPA and MFCC features on two recognition tasks in different background conditions. The main differences between the two feature types were identified, and their individual effects on ASR performance were evaluated. The importance of a proper choice of analysis frame lengths and filter bandwidths in ZCPA feature extraction was demonstrated. Furthermore, the use of dominant frequency information in ZCPA features was found to be a major reason for increased robustness of ZCPA features compared to MFCC features.
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Bidragsytere
Bojana Gajic
Forfatter
ved Institutt for elektroniske systemer ved Norges teknisk-naturvitenskapelige universitet
Kuldip Paliwal
Forfatter
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