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CDF-Matching For Automatic Tone Error Detection In Mandarin CALL System

CDF-Matching For Automatic Tone Error Detection In Mandarin CALL System. Si Wei, Hai -Kun Wang, Qing-Sheng Liu , Ren-Hua Wang iFlytek Speech Lab University of Science and Technology of China , Hefei ICASSP 2007. Speaker: Hsiao- Tsung Hung. Introduction. Previous Work GOP(2000)

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CDF-Matching For Automatic Tone Error Detection In Mandarin CALL System

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  1. CDF-Matching For Automatic Tone Error Detection In Mandarin CALL System Si Wei, Hai-Kun Wang, Qing-Sheng Liu, Ren-HuaWang iFlytek Speech Lab University of Science and Technology of China, Hefei ICASSP 2007 Speaker: Hsiao-TsungHung

  2. Introduction • Previous Work • GOP(2000) • Error Rule Clustering using a Decision Tree(2005) • Although there are many algorithms about tone recognition for Mandarin, little has been done for Mandarin tone error detection till now.

  3. Introduction • The purpose of normalization is to make different person's f0 distributions to be similar, in other words, to make different cumulative distribution functions to be similar. • In this paper, CDF-matching is introduced to normalize the f0 distribution by mapping different speaker's cumulative distribution function of f0 into one standard speaker's distribution.

  4. CDF-Matchingnormalization • Cumulative Distribution Function • Suppose the parameter transform to be Than

  5. CDF-Matching normalization

  6. CDF-Matching normalization

  7. Database: 100 個單音節 X 60人 兩位專業評音人員 Performance Measure: Cross-Correlation(CC) Features: F0, delta F0 (ETSI front-end) Model: 4-state HMM

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