C-TOBI-Based Pitch Accent Prediction Using Maximum-Entropy Model

1. Berger, A.L., Pietra, S.A.D., Pietra, V.J.D.: A maximum entropy approach to natural language processing. Computational Linguistics 22(1) (1996)

   Google Scholar 

2. Black, A.W., Hunt, A.J.: Generating F0 contours from ToBI labels using linear regression. In: Proceeding of the international conference on spoken language processing(ICSLP), CSLI (1996)

   Google Scholar 

3. Chen, S.F., Rosenfeld, R.: A Gaussian Prior for Smoothing Maximum Entropy Models. Technical Report CMU-CS-99-108 (1999)

   Google Scholar 

4. Gregory, M.L., Altun, Y.: Using conditional random fields to predict pitch accents in conversational speech, ACL (2004)

   Google Scholar 

5. Ha, J.-H., Zheng, Y., Lee, G.G.: Chinese segmentation and POS-tagging by automatic POS dictionary training. In: Proceedings of the 14th Conference of Korean and Korean Information Processing (2002)

   Google Scholar 

6. Ha, J.-H., Zheng, Y., Lee, G.G.: High speed unknown word prediction using support vector machine for Chinese Text-to-Speech systems. In: Su, K.-Y., Tsujii, J., Lee, J.-H., Kwong, O.Y. (eds.) IJCNLP 2004. LNCS (LNAI), vol. 3248, pp. 509–517. Springer, Heidelberg (2005)

   Chapter  Google Scholar 

7. Malouf, R.: A comparison of algorithms for maximum entropy parameter estimation. In: Proceedings of CoNLL 2002, Taipei, Taiwan, pp. 49–55 (2002)

   Google Scholar 

8. Sun, X.: Pitch accent prediction using ensemble machine learning. In: ICSLP 2002 (2002)

   Google Scholar 

9. Zhang, H., Yu, J.S., Zhan, W.D., Yu, S.W.: Disambiguation of Chinese polyphonic characters. In: International Workshop on Multimedia Annotation (2001)

   Google Scholar 

10. Le, Z.: Maximum entropy modeling toolkit for python and C++ (2003), http://www.nlplab.cn/zhangle/

11. Zheng, Y., Kim, B., Lee, G.G.: Using multiple linguistic features for Mandarin phrase break prediction in maximum-entropy classification framework. In: ICSLP 2004 (2004)

    Google Scholar 

Download references