Important and new features with analysis for disfluency interruption point (IP) detection in spontaneous Mandarin speech. - Che-Kuang Lin; Shu-Chuan Tseng; Lin-Shan Lee (DiSS, 2005)

Improved spontaneous Mandarin speech recognition by disfluency interruption point (IP) detection using prosodic features. - Che-Kuang Lin; Lin-Shan Lee (INTERSPEECH, 2005)

Latent prosodic modeling (LPM) for speech with applications in recognizing spontaneous Mandarin speech with disfluencies. - Che-Kuang Lin; Lin-Shan Lee (INTERSPEECH, 2006)

Pronunciation Modeling for Spontaneous Speech Recognition using Latent Pronunciation Analysis (LPA) and Prior Knowledge. - Che-Kuang Lin; Lin-Shan Lee (ICASSP (4), 2007)

Evaluation and Analysis of Minimum Phone Error Training and its Modified Versions for Large Vocabulary Mandarin Speech Recognition. - Yung-Jen Cheng; Che-Kuang Lin; Lin-Shan Lee (ISCSLP, 2008)

Learning on demand - course lecture distillation by information extraction and semantic structuring for spoken documents. - Sheng-yi Kong; Miao-ru Wu; Che-Kuang Lin; Yi-Sheng Fu; Lin-Shan Lee (ICASSP, 2009)

Improved Features and Models for Detecting Edit Disfluencies in Transcribing Spontaneous Mandarin Speech. - Che-Kuang Lin; Lin-Shan Lee (IEEE Trans. Speech Audio Process., 2009)