Syllable based Hindi speech recognition

作者: Shobha Bhatt , Anurag Jain , Amita Dev

DOI: 10.1080/02522667.2020.1809091

关键词:

摘要: In this paper, one of the acoustic units speech, syllable, is used for development a continuous Hindi speech recognition system. The syllable larger unit that overcomes ...

参考文章(28)
Umit Dağitan, Neşe Yalabik, Connected Word Recognition Using Neural Networks NATO Neurocomputing. pp. 297- 300 ,(1990) , 10.1007/978-3-642-76153-9_34
A. Lakshmi, Hema A. Murthy, A SYLLABLE BASED CONTINUOUS SPEECH RECOGNIZER for TAMIL conference of the international speech communication association. ,(2006)
Archana Balyan, S. S. Agrawal, Amita Dev, Automatic phonetic segmentation of Hindi speech using hidden Markov model Ai & Society. ,vol. 27, pp. 543- 549 ,(2012) , 10.1007/S00146-012-0386-2
Shweta Sinha, S. S. Agrawal, Aruna Jain, Continuous density Hidden Markov Model for context dependent Hindi speech recognition advances in computing and communications. pp. 1953- 1958 ,(2013) , 10.1109/ICACCI.2013.6637481
Karen Livescu, Eric Fosler-Lussier, Florian Metze, Subword Modeling for Automatic Speech Recognition: Past, Present, and Emerging Approaches IEEE Signal Processing Magazine. ,vol. 29, pp. 44- 57 ,(2012) , 10.1109/MSP.2012.2210952
Abhinav Sethy, Shrikanth Narayanan, S. Parthasarthy, A split lexicon approach for improved recognition of spoken names Speech Communication. ,vol. 48, pp. 1126- 1136 ,(2006) , 10.1016/J.SPECOM.2006.03.005
Tan Lee, P.C. Ching, Cantonese syllable recognition using neural networks IEEE Transactions on Speech and Audio Processing. ,vol. 7, pp. 466- 472 ,(1999) , 10.1109/89.771317
Mohamed Mostafa Azmi, Sherif Mahdy, Mervat Fashal, Hesham Tolba, Syllable-based automatic arabic speech recognition in noisy-telephone channel WSEAS Transactions on Signal Processing archive. ,vol. 4, pp. 211- 220 ,(2008)