Farsi language prosodic structure, research and implementation using a speech synthesizer

Bimbot, Frédéric; Blomberg, Margareta R. A.; Boves, L.W.J.; Chollet, Gérard; Jaboulet, Cédric; Jacob, Bruno; Kharroubi, Jamal; Koolwaaij, Johan; Lindberg, Johan; Mariéthoz, Johnny; Mokbel, Chafic; Mokbel, Houda

doi:10.21437/eurospeech.1999-432

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Operational services that use speaker verification for secure access have already been predicted for at least a decade, but few successful large-scale telecommunication services have yet materialised. Field tests in the European LE projects CAVE [1] and Picasso [2] show that there is still a significant performance gap between operational services and controlled experiments on pre-recorded databases like SESP [1] (even though recorded in real life conditions). Part of the performance problems is due to the failure of the human computer dialog to elicit the speech material needed by the system.…”

Section: Introductionmentioning

confidence: 99%

Speaker verification in operational environments - monitoring for improved service operation

Gu¹,

Jongebloed²,

Iskra³

et al. 2000

6th International Conference on Spoken Language Processing (ICSLP 2000)

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There are very few, if any, published accounts of practical expe rience with Speaker Verification as a means to provide secure access to telematics services. Yet, there is no reason to expect that Speaker Verification is very different from speech recogni tion, for which many deployed services have shown the need for close and intensive on-line monitoring during the time when the service becomes operational. In this paper we present our expe rience with a monitoring scheme for Speaker Verification dur ing the field test of a financial investment game. Many of the issues that were monitored were suggested by our experience with a semi-operational service, viz. free access to Directory Assistance for visually impaired. A newly developed enrolment procedure, that can flag potentially weak speaker models, is an essential part of the monitoring procedure.

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Section: Introductionmentioning

confidence: 99%