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Word recognition using synthesized reference templates
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.
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1988 (English)Conference paper (Refereed)
Abstract [en]

A major problem in large‐vocabulary speech recognition is the collection of reference data and speaker normalization. In this paper, the use of synthetic speech is proposed as a means of handling this problem. An experimental scheme for such a speech recognition system will be described. A rule‐based speech synthesis procedure is used for generating the reference data. Ten male subjects participated in an experiment using a 26‐word test vocabulary recorded in a normal office room. The subjects were asked to read the words from a list with little instruction except to pronounce each word separately. The synthesis was used to build the references. No adjustments were done to the synthesis in this first stage. All the human speakers served better as reference than the synthesis. Differences between natural and synthetic speech have been analyzed in detail at the segmental level. Methods for updating the synthetic speech parameters from natural speech templates will be described. [This work has been supported by the Swedish Board of Technical Development.]

Place, publisher, year, edition, pages
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Computer and Information Science
URN: urn:nbn:se:kth:diva-93598OAI: diva2:517141
In Proc. Second Symposium on Advanced Man-Machine Interface Through Spoken Language
NR 20140805Available from: 2012-04-21 Created: 2012-04-21 Last updated: 2012-04-21Bibliographically approved

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Blomberg, Mats
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Speech, Music and Hearing, TMH
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ReferencesLink to record
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