Yuang-Chin Chiang

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We propose an integrated approach to do automatic speech recognition on code-switching utterances, where speakers switch back and forth between at least 2 languages. This one-pass framework avoids the degradation of accuracy due to the imperfectly intermediate decisions of language detection and language identification. It is based on a three-layer(More)
A singing transcription system which transcribes human singing voice to musical notes is described in this paper. The fact that human singing rarely follows standard musical scale makes it a challenge to implement such a system. This system utilizes some new methods to deal with the issue of imprecise musical scale of input voice of a human singer, such as(More)
A large vocabulary Taiwanese (Min-nan) speech recognition system is described in this paper. Due to the severe multiple pronunciation phenomenon in Taiwanese partly caused by tone sandhi, a statistical pronunciation modeling technique based on tonal features is used. This system is speaker independent. It was trained by a bilingual Mandarin/Taiwanese speech(More)
Abstr act A Taiwanese (Min-nan) Text-to-Speech (TTS) system has been constructed in this paper based on automatically generated synthetic units by considering several specific phonetic and linguistic characteristics of Taiwanese. Some basic facts about Taiwanese useful in a TTS system is summarized, including the issues of tone sandhi, the writen format and(More)
In this paper, a new approach is proposed for recognizing speech of mutually unintelligible spoken Chinese regionalects based on a unified three-layer framework and a one-stage searching strategy. This framework includes (1) a unified acoustic model for all the considered regionalects; (2) a multiple pronunciation lexicon constructed by both a rule-based(More)
The paper describes a Taiwanese Text-to-speech (TTS) system for Taiwanese language learning by using Taiwanese / Mandarin bilingual lexicon information. The TTS system is organized as three functional modules, which contain a text analysis module, a prosody module, and waveform synthesis modules. And then we set an experiment to evaluate the text analysis(More)
The Formosa speech database (ForSDat) is a multilingual speech corpus collected at Chang Gung University and sponsored by the National Science Council of Taiwan. It is expected that a multilingual speech corpus will be collected, covering the three most frequently used languages in Taiwan: Taiwanese (Min-nan), Hakka, and Mandarin. This 3-year project has(More)
In this paper, we describe the first Mandarin/Taiwanese (Min-nan) bilingual , continuous speech recognition system for large vocabulary or vocabulary-independent applications. A phonetic transcription system called Tong-yong Phonetic Alphabet (TYPA) is described and used to transcribe the bilingual Mandarin/Taiwanese lexicons. The Right-Context-Dependent(More)
In this paper, a bilingual large vocaburary speech recognition experiment based on the idea of modeling pronunciation variations is described. The two languages under study are Mandarin Chinese and Taiwanese (Min-nan). These two languages are basically mutually unintelligible, and they have many words with the same Chinese characters and the same meanings,(More)