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Language Diversity: Speech Processing In A Multi-Lingual Context
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843419 ; Annual Conference of the International Speech Communication Association , Haizhou Li, Helen Meng, Bin Ma, Eng Siong Chng, Lei Xie, Jan 2014, Singapore, Singapore (2014)
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Predicting Gradation of L2 English Mispronunciations using Crowdsourced Ratings and Phonological Rules
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In: http://www1.se.cuhk.edu.hk/%7Ehccl/publications/pub/slate2013.pdf (2013)
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Predicting Gradation of L2 English Mispronunciations using Crowdsourced Ratings and Phonological Rules
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In: http://www1.se.cuhk.edu.hk/~hccl/publications/pub/2013_APSIPA.pdf (2013)
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The use of DBNHMMs for mispronunciation detection and diagnosis in L2 english to support computer-aided pronunciation training
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In: http://www1.se.cuhk.edu.hk/~hccl/publications/pub/xiaojun_interspeech2012.pdf (2012)
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Discriminatively trained acoustic models for improving mispronunciation detection and diagnosis in computer aided pronunciation training (CAPT
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In: http://www1.se.cuhk.edu.hk/~hccl/publications/pub/xiaojun_interspeech2010.pdf (2010)
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Automatic Derivation of Phonological Rules for Mispronunciation Detection in a Computer-Assisted Pronunciation Training System
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In: http://www1.se.cuhk.edu.hk/~hccl/publications/pub/Lo_INTERSPEECH2010_20100710.pdf (2010)
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Development of an articulatory visual-speech synthesizer to support language learning
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In: http://www1.se.cuhk.edu.hk/~hccl/publications/pub/ISCSLP2010-20100924.pdf (2010)
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Automatic story segmentation using a Bayesian decision framework for statistical models of lexical chain features
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In: http://www1.se.cuhk.edu.hk/%7Ehccl/publications/pub/Lo_ACL-IJCNLP2009.pdf (2009)
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Developing a ComputerAided Pronunciation System for Chinese-Speaking Learners of English
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In: http://www1.se.cuhk.edu.hk/%7Ehccl/publications/pub/W020091216352469032128.pdf (2009)
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Studying L2 suprasegmental features in Asian Englishes: a position paper
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In: http://www.ling.sinica.edu.tw/eip/files/publish/2009.9.17.7807558.69687253.pdf (2009)
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Deriving salient learners’ mispronunciations from cross-language phonological comparisons
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In: http://www.se.cuhk.edu.hk/hccl/publications/pub/Meng-ASRU2007.5.pdf (2007)
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Initial Experiments on Automatic Story Segmentation
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In: http://www1.se.cuhk.edu.hk/~hccl/publications/pub/Initial Experiments on Automatic Story Segmentation in Chinese Spoken Documents Using Lexical Cohesion of Extracted Named Entities.pdf (2006)
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et.al, "The Multi-biometric, Multi-device and Multilingual (M3) Corpus
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In: http://www.se.cuhk.edu.hk/~wklo/docpub/MengMMUA2006.pdf (2006)
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Design and Development of a Bilingual Reading Comprehension Corpus
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In: http://www.se.cuhk.edu.hk/hccl/publications/pub/BRCC.pdf (2005)
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Isis: An Adaptive, Trilingual Conversational System with Interleaving Interaction and Delegation Dialogs
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In: http://www.se.cuhk.edu.hk/hccl/publications/pub/p268-meng.pdf (2004)
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A two-level schema for detecting recognition errors
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In: http://www.se.cuhk.edu.hk/hccl/publications/pub/Zhou_ICSLP2004.pdf (2004)
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English-Chinese bilingual textindependent speaker verification
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In: http://www1.se.cuhk.edu.hk/~hccl/publications/pub/icassp2004_Ma.pdf (2004)
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Multi-scale audio indexing for translingual spoken document retrieval
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In: http://www.se.cuhk.edu.hk/~wklo/docpub/WangICASSP2001.pdf (2001)
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Abstract:
MEI (Mandarin-English Information) is an English-Chinese crosslingual spoken document retrieval (CL-SDR) system developed during the Johns Hopkins University Summer Workshop 2000. We integrate speech recognition, machine translation, and information retrieval technologies to perform CL-SDR. MEI advocates a multi-scale paradigm, where both Chinese words and subwords (characters and syllables) are used in retrieval. The use of subword units can complement the word unit in handling the problems of Chinese word tokenization ambiguity, Chinese homophone ambiguity, and out-ofvocabulary words in audio indexing. This paper focuses on multi-scale audio indexing in MEI. Experiments are based on the Topic Detection and Tracking Corpora (TDT-2 and TDT-3), where we indexed Voice of America Mandarin news broadcasts by speech recognition on both the word and subword scales. In this paper, we discuss the development of the MEI syllable recognizer, the representations of spoken documents using overlapping subword n-grams and lattice structures. Results show that augmenting words with subwords is beneficial to CL-SDR performance. 1.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.7253 http://www.se.cuhk.edu.hk/~wklo/docpub/WangICASSP2001.pdf
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Multi-Scale Audio Indexing For Translingual Spoken Document Retrieval
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In: http://www.se.cuhk.edu.hk/PEOPLE/hmmeng/Meng_AudioIndex_ICASSP2001.pdf (2001)
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Discovery of Unknown Events From Multi-lingual News
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In: http://www.se.cuhk.edu.hk/PEOPLE/hmmeng/ICCPOL2001.ps.gz (2001)
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