篇名 | Data Driven Approaches to Phonetic Transcription with Integration of Automatic Speech Recognition and Grapheme-to-Phoneme for Spoken Buddhist Sutra |
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卷期 | 13:2 |
作者 | Liang, Min-siong 、 Lyu, Ren-yuan 、 Chiang, Yuang-chin |
頁次 | 233-253 |
關鍵字 | Automatic 、 Phonetic 、 Transcription 、 Phone 、 Recognition 、 Grapheme-to-Phoneme 、 Pronunciation Variation 、 Chinese Text 、 Taiwanese 、 Buddhist Sutra 、 Dialect 、 THCI Core |
出刊日期 | 200806 |
We propose a new approach for performing phonetic transcription of text that utilizes automatic speech recognition (ASR) to help traditional
grapheme-to-phoneme (G2P) techniques. This approach was applied to transcribe Chinese text into Taiwanese phonetic symbols. By augmenting the text with speech and using automatic speech recognition with a sausage searching net constructed from multiple pronunciations of text, we are able to reduce the error rate of phonetic transcription. Using a pronunciation lexicon with multiple pronunciations for each item, a transcription error rate of 12.74% was achieved. Further improvement can be achieved by adapting the pronunciation lexicon with pronunciation variation (PV) rules derived manually from corrected transcription in
a speech corpus. The PV rules can be categorized into two kinds: knowledge-based and data-driven rules. By incorporating the PV rules, an error rate of 10.56% could be achieved. Although this technique was developed for Taiwanese speech, it could easily be adapted to other Chinese spoken languages or dialects.system.