Yuang-Chin Chiang

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Collection of Taiwanese text corpus with phonetic transcription suffers from the problems of multiple pronunciation variation. By augmenting the text with speech, and using automatic speech recognition with a sausage searching net constructed from the multiple pronunciations of the text corresponding to its speech utterance, we are able to reduce the effort(More)
Many studies have been performed on quality evaluation for subtle differences in medical images. However, only limited success has been achieved. In this paper, medical images were prior manipulated by denoising, lossy compression and filtering. The Moran statistics is then applied to extract spatial information of images and using Kolmogorov-Smirnov (KS)(More)
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 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 bi-lingual Mandarin/Taiwanese(More)
Here, we describe an efficient algorithm to select phonetically balanced scripts for collecting a large-scale multilingual speech corpus. It is expected to collect a multilingual speech corpus covering three most frequently used languages in Taiwan, including Taiwanese (Min-nan), Hakka, and Mandarin Chinese. To achieve the objective, the first step is to(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)
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) bi-lingual, 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-ContextDependent(More)
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 the(More)