论文信息 - Hindi Automatic Speech Recognition Using HTK

Hindi Automatic Speech Recognition Using HTK

Automated Speech Recognition (ASR) is the ability of a machine or program to recognize the voice commands or take dictation which involves the ability to match a voice pattern against a provided or acquired vocabulary. At present, mainly Hidden Markov Model (HMMs) based speech recognizers are used. This paper aims to build a speech recognition system for Hindi language. Hidden Markov Model Toolkit (HTK) is used to develop the system. It recognizes the isolated words using acoustic word model. The system is trained for 113 Hindi words. Training data has been collected from nine speakers. The experimental results show that the overall accuracy of the presented system with 10 states in HMM topology is 96.61 and 95.49%.

Parneet Kaur | Preeti Saini | Mohit Dua | Preeti Saini Cse

[1] M. A. Anusuya,et al. Speech Recognition by Machine, A Review , 2010, ArXiv.

[2] D.R. Reddy,et al. Speech recognition by machine: A review , 1976, Proceedings of the IEEE.

[3] Virender Kadyan,et al. Punjabi Automatic Speech Recognition Using HTK , 2012 .

[4] J. Flanagan. Speech Analysis, Synthesis and Perception , 1971 .

[5] Peter Kulchyski. and , 2015 .

[6] Mayank Dave,et al. Acoustic modeling problem for automatic speech recognition system: conventional methods (Part I) , 2011, Int. J. Speech Technol..

[7] Rishi Pal Singh,et al. Automatic Speech Recognition: A Review , 2012 .

[8] Mayank Dave,et al. Acoustic modeling problem for automatic speech recognition system: advances and refinements (Part II) , 2011, Int. J. Speech Technol..

[9] Kuldeep Kumar. HINDI SPEECH RECOGNITION SYSTEM USING HTK , 2011 .

[10] Mayank Dave,et al. Performance evaluation of sequentially combined heterogeneous feature streams for Hindi speech recognition system , 2013, Telecommun. Syst..

[11] Kuldeep Kumar,et al. A Hindi speech recognition system for connected words using HTK , 2012 .