Mixture Linear Prediction in Speaker Verification Under Vocal Effort Mismatch

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Tarih

2014

Dergi Başlığı

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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

Künye