Title :
A quantitative assessment of the importance of tone in mandarin speech recognition
Author :
Ng, Tim ; Siu, Manhung ; Ostendorf, Mari
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Abstract :
How important is tone to Mandarin speech recognition? Because contextual information can resolve some lexical ambiguities, the question has been raised as to whether a strong language model obviates the need for explicit tone modeling. This letter addresses that question by evaluating the effect of tone information on word perplexity under different conditions, including knowledge of the correct tone sequence, perfect acoustic information, and imperfect syllable and tone information. Results show that conditioning on tone information can reduce word uncertainty in conversational speech by 11%-20%, depending on the accuracy of syllable and tone recognition.
Keywords :
natural languages; speech processing; speech recognition; Chinese speech recognition; Mandarin speech recognition; contextual information; imperfect syllable; language model; lexical ambiguity; perfect acoustic information; quantitative assessment; tone importance; tone sequence modeling; word perplexity; Context modeling; Councils; History; Natural languages; Signal processing algorithms; Signal resolution; Speech recognition; Uncertainty; Chinese speech recognition; perplexity; tone;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.859495