Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Min-Siong Liang"'
Autor:
Min-Siong Liang, 梁敏雄
96
In this dissertation, we review research efforts in text-to-speech (TTS), pronunciation error detection for computer assisted language learning, and speech corpus design for Taiwanese, or Min-nan – a major native language spoken in Taiwan.
In this dissertation, we review research efforts in text-to-speech (TTS), pronunciation error detection for computer assisted language learning, and speech corpus design for Taiwanese, or Min-nan – a major native language spoken in Taiwan.
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/99859767757432517318
Autor:
Gu-yuan Lin, Gary Tsai, Min-Siong Liang, Chien Ming Wu, Ming Whei Feng, Jimi Yung-Chuan Wen, Today Sung
Publikováno v:
DEBS
In this report, we share our experience in developing a complex event processing architecture that bridges sensors networks to an energy management system used in the context of chain convenient stores. We analyze event data in real-time to generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee3527a5fad8c28bfea51cf361abbe41
https://doi.org/10.1145/2002259.2002300
https://doi.org/10.1145/2002259.2002300
Publikováno v:
ETFA
Multi-dimensional temporal data set is the common format in sensor network applications to store sampled temporal data. As time goes on, the size of the core tables in the data set may increase to enormous size and the tables become not managable. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbe92b9a118667430c37316e5ed1dbb5
https://doi.org/10.1109/etfa.2010.5641312
https://doi.org/10.1109/etfa.2010.5641312
Publikováno v:
ISCSLP
In this paper, we provided a strategy of error detection of pronunciation and applied it to the computer-assisted pronunciation teaching(CAPT), especially in Mandarin language learning. In our system, it can be divided into two parts: the sentence ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3d5e357cd7e5025c9e2d730a4c06d5c
https://doi.org/10.1109/chinsl.2008.ecp.98
https://doi.org/10.1109/chinsl.2008.ecp.98
Publikováno v:
ICALT
This paper describes an approach to pronunciation error detection for computer-assisted pronunciation teaching (CAPT). We focus on how to find the real pronunciation of the user. The data-driven based method was used to generate pronunciation errors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f5b69562f7938f62408337cdf170efd
https://doi.org/10.1109/icalt.2007.111
https://doi.org/10.1109/icalt.2007.111
Publikováno v:
ICASSP (4)
We propose a new approach for performing phonetic transcription of speech and text that combines automatic speech recognition (ASR) and grapheme-to-phoneme (G2P) techniques. By augmenting the text with speech and using automatic speech recognition wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::282fe1c7f5f63a3bd3782ab3343f0fea
https://doi.org/10.1109/icassp.2007.367175
https://doi.org/10.1109/icassp.2007.367175
Publikováno v:
Advances in Chinese Spoken Language Processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7b91577bf43bf548d4e712b71945abd
https://doi.org/10.1142/9789812772961_0017
https://doi.org/10.1142/9789812772961_0017
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26c808a8e6d314cf570b35dd4fdf177b
https://doi.org/10.21437/interspeech.2006-49
https://doi.org/10.21437/interspeech.2006-49
Publikováno v:
2005 9th International Workshop on Cellular Neural Networks and Their Applications.
In this paper, we compare the performance of a speech recognition system trained with two speech corpora. We select two set of words such that they covered all the cross-syllable bi-phones and tri-phones, and are called phonetically biphone-rich and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6314934bfc3130290d30d9fe5de6ea7f
https://doi.org/10.1109/cnna.2005.1543194
https://doi.org/10.1109/cnna.2005.1543194
Publikováno v:
INTERSPEECH
In this paper, we describe a bi-lingual Text-to-speech (TTS) translational system, which converts Chinese Text into Taiwanese speech, by using bilingual lexicon information. This TTS system is organized as three functional modules, which contain a te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49e7f26d3c49cd7746f589699e16ea94
https://doi.org/10.21437/interspeech.2005-605
https://doi.org/10.21437/interspeech.2005-605