The use of temporal speech and lip information for multi-modal speaker identification via multi-stream HMMs


Autoria(s): Wark, T.; Sridharan, S.; Chandran, V.
Data(s)

2000

Resumo

Investigates the use of temporal lip information, in conjunction with speech information, for robust, text-dependent speaker identification. We propose that significant speaker-dependent information can be obtained from moving lips, enabling speaker recognition systems to be highly robust in the presence of noise. The fusion structure for the audio and visual information is based around the use of multi-stream hidden Markov models (MSHMM), with audio and visual features forming two independent data streams. Recent work with multi-modal MSHMMs has been performed successfully for the task of speech recognition. The use of temporal lip information for speaker identification has been performed previously (T.J. Wark et al., 1998), however this has been restricted to output fusion via single-stream HMMs. We present an extension to this previous work, and show that a MSHMM is a valid structure for multi-modal speaker identification

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/45592/

Relação

http://eprints.qut.edu.au/45592/2/00859322_ICASSP00b.pdf

DOI:10.1109/ICASSP.2000.859322

Wark, T., Sridharan, S., & Chandran, V. (2000) The use of temporal speech and lip information for multi-modal speaker identification via multi-stream HMMs. In 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing: Image and Multidimensional Signal Processing Multimedia Signal Processing, Istanbul, pp. 2389-2392.

Direitos

Copyright 2000 IEEE

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Fonte

Faculty of Built Environment and Engineering; Information Security Institute; School of Engineering Systems

Palavras-Chave #080303 Computer System Security #audio-visual systems #feature extraction #hidden Markov models #image recognition #speaker recognition #audio features #audio-visual information #fusion structure #independent data streams #moving lips #multi-modal speaker identification #multi-stream hidden Markov models #noise #output fusion #robust text-dependent speaker identification #speaker recognition systems #speaker-dependent information #temporal lip information #temporal speech information #visual features
Tipo

Conference Paper