Mixture Linear Prediction in Speaker Verification Under Vocal Effort Mismatch
Yükleniyor...
Tarih
2014
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee-Inst Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This paper describes an approach to robust signal analysis using iterative parameter re-estimation of a mixture autoregressive (AR) model. The model's focus can be adjusted by initialization of the target and non-target states. The variant examined in this study uses an i.i.d. mixture AR model and is designed to tackle the spectral biasing effect caused by the voice excitation in speech signals with variable fundamental frequency. In our speaker verification experiments, this method performed competitively against standard spectrum analysis techniques in non-mismatch conditions and showed significant improvements in vocal effort mismatch conditions.
Açıklama
Anahtar Kelimeler
Robust acoustic features, speaker recognition, spectrum analysis, speech feature extraction
Kaynak
Ieee Signal Processing Letters
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
21
Sayı
12
