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Phonetic transcription in automatic speech recognition

Mihajlik, Péter and Révész, Tibor and Tatai, Péter (2002) Phonetic transcription in automatic speech recognition. Acta Linguistica Hungarica, 49 (3-4). pp. 407-425. ISSN 1216-8076

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Abstract

This paper discusses automatic phonetic transcription to be applied in Hungarian speech recognition. It first deals with the basic technologies of automatic speech recognition (ASR) for the sake of readers not familiar with this scientific field, then it discusses the place of (automatic) phonetic transcription in ASR. After that, our method developed for transcribing Hungarian texts automatically is introduced. This technique is an extension of the traditional linear transcription approach; its output is called 'optioned' because it contains pronunciation options in parallel arcs. We present our experiences with promising improvements in recogniser training efficiency. The achievements are due to the application of deeper linguistic (phonological) knowledge. With the training technique developed not only the quality of the acoustic models can be enhanced, but also, at the same time, the amount of the required manual work can effectively be decreased.

Item Type: Article
Subjects: P Language and Literature / nyelvészet és irodalom > P0 Philology. Linguistics / filológia, nyelvészet
Depositing User: xFruzsina xPataki
Date Deposited: 14 Jun 2017 19:27
Last Modified: 04 Apr 2023 12:52
URI: http://real.mtak.hu/id/eprint/54848

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