Abstract
For more than three decades, a great amount of research was carried out on various aspects of speech signal processing and its applications. Highly successful application of speech processing is Automatic Speech Recognition (ASR). Early attempts to ASR consisted of making deterministic models of whole words in a small vocabulary and recognizing a given speech utterance as the word whose model comes closest to it. The introduction of Hidden Markov Models (HMMs) in the early 1980 provided much more powerful tool for speech recognition. And the recognition can be done for continuous speech using large vocabulary, in a speaker independent manner. Two approaches like conventional template-based and Hidden Markov Model usually performs speaker independent isolated word recognition. In this work, speaker independent isolated Tamil digit speech recognizers are designed by employing template based and HMM based approaches. The results of the approaches are compared and observed that HMM based model performs well and the word error rate is greatly reduced.
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References
Jurafsky, D., Martin, J.H.: Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Pearson Education (2002)
Terissi, L.D., Gomez, J.C.: Template-based and HMM-based Approaches for Isolated Spanish Digit Recognition. Intelligencia Artificial.Revista lberoamericana de Intelligencia Artificial 9(26) (2005)
Satori, H., Harti, M., Chenfour, N.: Arabic Speech Recognition System based on CMUSphinx. In: International Symposium on Computational Intelligence and Intelligent Informatics (March 2007)
Rabiner, L., Juang, B.-H.: Fundamentals of Speech Recognition. Prentice-Hall, Inc., Engelwood (1993)
Kamm, T., Hermansky, H., Andreou, A.G.: Learning the Mel-scale and Optimal VTN Mapping. In: Center for Language and Speech Processing, Workshop (WS 1997). Johns Hopkins University (1997)
Hornback, J.R., Lieutenant, S.: Speech Recognition Using The Mellin Transform, MS Thesis report, Air Force Instituite of Technology, Wright-Patterson Air Force Base, Ohio (2006)
Li, D., Strik, H.: Structure-Based and Template-Based Automatic Speech Recognition-Comparing parametric and non-parametric approaches. Microsoft Research, One Microsoft Way, Redmond, WA, USA, CLST, Department of Linguistics, Radboud University, Nijmegen
Hachkar, Z., Farchi, A., Mounir, B., El Abbadi, J.: A Comparison of DHMM and DTW for Isolated Digit Recognition System for Arabic Language. International Journal of Computer Science and Engineering 3(3) (March 2011); ISSN : 0975-3397
Jacob, B., Sondhi, M.M., Huang, Y.: Springer Handbook of Speech Processing, XXXVI (2008)
Rabiner, L.R.: A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE 77(2), 257–286 (1989)
Thangarajan, R., Natarajan, A.M., Selvam, M.: Word and Triphone based approaches. Continuous Speech Recognition for Tamil Language 4(3) (March 2008)
Anusuya, M.A., Katti, S.K.: Speech Recognition by Machine: A Review. International Journal of Computer Science and Information Security 6(3), 181–205 (2009)
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Karpagavalli, S., Deepika, R., Kokila, P., Usha Rani, K., Chandra, E. (2012). Isolated Tamil Digit Speech Recognition Using Template-Based and HMM-Based Approaches. In: Krishna, P.V., Babu, M.R., Ariwa, E. (eds) Global Trends in Information Systems and Software Applications. ObCom 2011. Communications in Computer and Information Science, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29216-3_48
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DOI: https://doi.org/10.1007/978-3-642-29216-3_48
Publisher Name: Springer, Berlin, Heidelberg
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