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Lee, Tan - Department of Electronic Engineering, Chinese University of Hong Kong
Use of Tone Information in Continuous Cantonese Speech Recognition and Frank K. Soong2
DEVELOPMENT OF CANTONESE SPOKEN LANGUAGE CORPORA FOR SPEECH APPLICATIONS
UNSUPERVISED N-BEST BASED MODEL ADAPTATION USING MODEL-LEVEL CONFIDENCE MEASURES
MICRO-PROSODIC CONTROL IN CANTONESE TEXT-TO-SPEECH SYNTHESIS
MODELING PRONUNCIATION VARIATION FOR CANTONESE SPEECH RECOGNITION
CANTONESE TEXT-TO-SPEECH SYNTHESIS USING SUB-SYLLABLE UNITS
TWO-DIMENSIONAL MULTI-RESOLUTION ANALYSIS OF SPEECH SIGNALS AND ITS APPLICATION TO
A NEURAL NETWORK BASED SPEECH RECOGNITION SYSTEM FOR ISOLATED CANTONESE SYLLABLES
Towards Highly Usable and Robust Spoken Language Technologies for Chinese
ACOUSTIC MODELING AND LANGUAGE MODELING FOR CANTONESE LVCSR
CONTEXT-DEPENDENT DURATION MODELING FOR CONTINUOUS SPEECH RECOGNITION
F0 Analysis and Modeling for Cantonese Text-to-Speech Yujia Li, Tan Lee and Yao Qian
ACOUSTICAL F0 ANALYSIS OF CONTINUOUS CANTONESE SPEECH Yujia LI, Tan LEE and Yao QIAN
DEVELOPMENT OF A LARGE VOCABULARY SPEECH DATABASE FOR CANTONESE
RECENT ADVANCES IN CANTONESE SPEECH RECOGNITION Alfred Y.P. Ng2, Tan Lee1, P.C. Ching1 and L.W. Chan2
ON IMPROVING DISCRIMINATION CAPABILITY OF AN RNN BASED RECOGNIZER
AUTOMATIC RECOGNITION OF ISOLATED CANTONESE SYLLABLES
Searching for the Missing Piece W.N. Choi, Y.W. Wong, Tan Lee and P.C. Ching
MODELING TONES IN CONTINUOUS CANTONESE SPEECH , Greg Kochanski 2
