This paper describes the application of the Momel algorithm to a corpus of spontaneous speech in Standard (Beijing) Chinese. A selection of utterances by four speakers was analysed automatically and the resynthesised utterances were evaluated subjectively with two categories of errors: lexical tone errors and intonation errors. The target points determining the pitch contours of the synthetic utterances were then corrected manually in order to obtain a set of acceptable utterances for the entire corpus. An application attempting to optimise window-size for the Momel algorithm showed no overall improvement with respect to the manually corrected data. This annotated data will nevertheless constitute a useful yardstick for evaluating improvements to the automatic algorithm which is expected to be far more robust than data annotated for languages with no lexical tone.
Bibliographic reference. Zhi, Na / Hirst, Daniel / Bertinetto, Pier Marco (2010): "Automatic analysis of the intonation of a tone language. applying the momel algorithm to spontaneous standard Chinese (beijing)", In INTERSPEECH-2010, 1788-1791.