"Development of Application Specific Continuous Speech Recognition System in Hindi"
written by Gaurav Gaurav, Devanesamoni Shakina Deiv, Gopal Krishna Sharma, Mahua Bhattacharya,
published by Journal of Signal and Information Processing, Vol.3 No.3, 2012
has been cited by the following article(s):
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[9] A Review: Speech Reorganization by Using Artificial Neural Network
[10] Correlative consideration concerning feature extraction techniques for Speech Recognition-a Review
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[12] Correlative consideration concerning feature extraction techniques for speech recognition—A review
[13] HTK Based Speech Recognition Systems for Indian Regional languages: A Review
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[14] Accent based speech recognition of gujarati language
[15] Bangladeshi Dialect Recognition using MFCC, Delta, Delta-delta and GMM
[16] Isolated word recognition using neural network
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[17] Comparative Study of MFCC And LPC Algorithms for Gujrati Isolated Word Recognition
[18] Speech Recognition in Indian Languages—A Survey
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[19] A Review on Different Approaches for Speech Recognition System
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[20] Phoneme and word based model for tamil speech recognition using GMM-HMM
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[21] Speech recognition system for Punjabi language
[22] Continuous Hindi Speech Recognition using Monophone based Acoustic Modeling
International Journal of Computer Applications, 2014
[24] State of Research of Speech Recognition
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework. Springer India, 2014
[25] MATLAB Based Feature Extraction Using Mel Frequency Cepstrum Coefficients for Automatic Speech Recognition
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[26] Automatic Speech Recognition of accented Hindi data
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[27] Phoneme confusability reduction by using visual information in noisy environment
[28] Exploring the viability of Modified Cellulosi c Polymer and its use as reinforcement to obtain Green Composite by Advance d Analytical and Evaluation …