Study of English pronunciation quality evaluation System with tone and emotion analysis capabilities

Applied Mechanics and Materials

Volumn 475-476, Issue , 2014, Pages 318-323

  Li, Xin Guang ^a   Li, Su Mei ^b   Jiang, Li Rui ^a   Zhang, Sheng Bin ^a  

^a GUANGDONG UNIVERSITY OF FOREIGN STUDIES   (China)

^b GUANGDONG UNIVERSITY OF FOREIGN STUDIES   (China)

Author keywords

Emotion recognition; Probabilistic neural network; Pronunciation evaluation; Tone

Indexed keywords

DYNAMIC TIME WARPING; EMOTION RECOGNITION; MEL FREQUENCY CEPSTRUM COEFFICIENTS; PROBABILISTIC NEURAL NETWORKS; PROBABILITY NEURAL NETWORK; PRONUNCIATION EVALUATIONS; PRONUNCIATION QUALITY; TONE;

NATURAL LANGUAGE PROCESSING SYSTEMS; SENSORS; SPEECH RECOGNITION;

NEURAL NETWORKS;

EID: 84891141061     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.475-476.318     Document Type: Conference Paper

References (13)

1. Yashpalsing Chavhan, M. L. Dhore, Pallavi Yesaware, Speech Emotion Recognition Using Support Vector Machine, International Journal of Computer Applications, vol. 1, pp.6-9,February 2010.
2. He L., Lech M., Maddage N., Memon S., and Allen N.,"Emotion Recognition in Spontaneous Speech within Work and Family Environments", iCBBE 2009.
3. Franco H, Neumeyer L, Ramos M, et al. Automatic detection of phone-level mispronunciation for language learning [C], Proc. Eurospeech. 1999, 2: 851-854.
4. Franco H, Neumeyer L, Kim Y, et al. Automatic pronunciation scoring for language instruction [C], Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on. IEEE, 1997, 2: 1471-1474.
5. Kim Y, Franco H, Neumeyer L. Automatic pronunciation scoring of specific phone segments for language instruction [C], Proc. Eurospeech. 1997, 97: 645-649.
6. Neumeyer L, Franco H, Weintraub M, et al. Automatic text-independent pronunciation scoring of foreign language student speech [C], Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on. IEEE, 1996, 3: 1457-1460.
7. D. F. Specht, "Probabilistic neural networks," Neural Networks, vol. 3, pp. 109-118, 1990.
8. Ezzat T., Tomaso Poggio T. Discriminative Word-Spotting Using Ordered Spectro-Temporal Patch Features, to appear, SAPA workshop, Interspeech,Brisbane, Australia, 2008.
9. Frank, A. & Asuncion, A.(2010).UCI Machine Learning Repository [http://archive.ics.uci.ed u/ml].Irvine, CA: University of California, School of Information and Computer Science.
10. Burkhardt F, Paeschke A, Rolfes M, et al. A database of German emotional speech [C], Proc. Interspeech,2005.
11. Bouvrie J., Ezzat T., Poggio T., Localized Spectro-Temporal Cepstral Analysis of Speech, ICASSP, Las Vegas, Nevada, 2008.
12. Keogh E. Exact indexing of dynamic time warping [C], Proceedings of the 28th international conference on Very Large Data Bases. VLDB Endowment, 2002: 406-417.
13. Jyh-Shing Roger Jang, Speech and Audio Processing (SAP) Toolbox, available at "http://mirlab.org/jang/matlab/toolbox/sap".