Manuscript Number : CSEIT172535
Speech Recognition System for Different Kannada Dialects
Authors(3) :-Hemakumar G, Punithavalli M, Thippeswamy K
In this paper discuss on pronunciation variations occurs in different Kannada dialects, designing language model, building acoustic models, finally recognition of Kannada dialect speech. Algorithm designed for recognition of isolated Kannada word and continuous Kannada speech made by different dialects speakers. The novelty of algorithm is in handling multiple Kannada dialects speakerâ€™s speech recorded by mini-microphone, headphone and cell phones. Robustness of the algorithm in handling different Kannada dialects speech and handling little noisy waves. Here speech waves recorded at natural environment. Here classification of speech models based on speakerâ€™s dialects and inside the dialects sub classes designed according to acoustic features. During recognition, breadth first matching technique and then inside that dialect class depth first matching techniques implemented. Here speech recognition designed using MFCC and coefficients of real cepstrum features and compared the performance. In these experiment real cepstrum coefficients, features produced better recognition rate while dealing with multiple dialects of same language. All computations made using mat lab.
Department of Computer Science, Govt. College for Women (Autonomous), Mandya, Karnataka, India
Department of Computer Application, Bharathiar University, Coimbatore, Tamil Nadu, India
Department of Computer Science & Eng., Visvesvaraya Technology University, Post-Graduation Centre, Mysore, Karnataka, India.
Speech recognition, Kannada dialect, Language model, Normal parameters and Speech enhancement
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Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 180-188
Manuscript Number : CSEIT172535
Publisher : Technoscience Academy
URL : http://ijsrcseit.com/CSEIT172535