The ETSI extended distributed speech recognition (DSR) standards: client side processing and tonal language recognition evaluation

We present work that has been carried out in developing the ETSI extended DSR standards ES 202 211 and ES 202 212 (2003). These standards extend the previous ETSI DSR standards: basic front-end ES 201 108 and advanced (noise robust) front-end ES 202 050 respectively. The extensions enable enhanced t...

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Hauptverfasser:	Sorin, A., Ramabadran, T., Chazan, D., Hoory, R., Mclaughlin, M., Pearce, D., Wang, F.C., Yaxin Zhang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Delay Detection, estimation, filtering, equalization, prediction Exact sciences and technology Feature extraction Frequency estimation Information, signal and communications theory Mel frequency cepstral coefficient Miscellaneous Natural languages Noise robustness Signal and communications theory Signal processing Signal, noise Speech processing Speech recognition Standards development Telecommunication standards Telecommunications and information theory
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Zusammenfassung:	We present work that has been carried out in developing the ETSI extended DSR standards ES 202 211 and ES 202 212 (2003). These standards extend the previous ETSI DSR standards: basic front-end ES 201 108 and advanced (noise robust) front-end ES 202 050 respectively. The extensions enable enhanced tonal language recognition as well as server-side speech reconstruction capability. The paper discusses the client-side estimation of pitch and voicing class parameters whereas a companion paper discusses the server-side speech reconstruction. Experimental results show enhancement of tonal language recognition rates of proprietary recognition engines, when the standard extensions are used.
ISSN:	1520-6149 2379-190X
DOI:	10.1109/ICASSP.2004.1325939