Text-independent speaker identification based on explicit exploitation of stochastic characteristics - Electronics Letters

نویسنده

  • W. H. Tsai
چکیده

TUFEKCI, z., and GOWDY, J.N.: ‘Feature extraction using discrete wavelet transform for speech recognition’. Proc. IEEE Southeastcon 2000, Nashville, USA, 2000, pp. 116-123 FAROOQ, o., and DATTA, s.: ‘Dynamic feature extraction by wavelet analysis’. Proc. 6th Int. Conf. Spoken Language Processing, Beijing, China, Oct. 2000, Vol. 4, pp. 696-699 CHANG, s., KWON, Y . , and YANG, S I . : ‘Speech feature extracted from adaptive wavelet for speech recognition’, Electron. Lett., 1998, 34,

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Text-independent speaker identification using Gaussian mixture bigram models

In this paper, a novel speaker modeling technique based on Gaussian mixture bigram model (GMBM) is introduced and evaluated for text-independent speaker identification (speaker-ID). GMBM is a stochastic framework that explores the context or time dependency of continuous observations from an information source. In view of the fact that speech features are correlated between successive frames, w...

متن کامل

Neural Network Based Missing Feature Method For Text-Independent Speaker Identification

The first step of missing feature methods in text-independent speaker identification is to identify highly corrupted spectrographic representation of speech as missing feature. Most mask estimation techniques rely on explicit estimation of the characteristics of the corrupting noise and usually fail to work with inaccurate estimation of noise. We present a mask estimation technique that uses ne...

متن کامل

Feature vector transformation using independent component analysis and its application to speaker identification

This paper presents a feature parameter transformation method using ICA (independent component analysis) for text independent speaker identification of telephone speech. ICA is a signal processing technique which can separate linearly mixed signals into statistically independent signals. The proposed method transforms them into new vectors using ICA assuming that the cepstrum vectors of the tel...

متن کامل

A High-performance Text-independent Speaker Identification System Based on Bcdm

This paper describes a Text-Independent Speaker Identification System of high performance. This System includes two subsystems, one is the close-set speaker identification system; the other is the open-set speaker identification system. In the implementation of the Text –Independent Speaker Identification System we introduce an advanced VQ method and a new distance estimation algorithm called B...

متن کامل

A high-performance text-independent speaker identification system based on BCDM

This paper describes a Text-Independent Speaker Identification System of high performance. This System includes two subsystems, one is the close-set speaker identification system; the other is the open-set speaker identification system. In the implementation of the Text –Independent Speaker Identification System we introduce an advanced VQ method and a new distance estimation algorithm called B...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004