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[1]
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Social Communication Disorder Outside Intellectual Disability? A Review and Classification Approach to Receptive and Expressive Communication in Intellectual …
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Wireless Personal Communications,
2022 |
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[2]
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A new software defined network (SDN) in IoTs based deep learning techniques
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2022 |
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[3]
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Isolated word detection using LSTM based feature extraction methods
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2021 |
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[4]
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Using Gaussian Mixtures on Triphone Acoustic Modelling-Based Punjabi Continuous Speech Recognition
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2020 |
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[5]
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Creation of speech corpus for emotion analysis in Gujarati language and its evaluation by various speech parameters
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2020 |
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[6]
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Comparative Analysis on Different Cepstral Features for Speaker Identification Recognition
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2020 |
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[7]
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Instrument Sound Classification
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2020 |
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[8]
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Creation of speech corpus for emotion analysis in Gujarati language and its evaluation by various speech parameters.
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International Journal of Electrical & Computer …,
2020 |
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[9]
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Chhattisgarhi speech corpus for research and development in automatic speech recognition
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International Journal of Speech Technology,
2018 |
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[10]
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HMM-Based Lightweight Speech Recognition System for Gujarati Language
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Information and Communication Technology for Sustainable Development,
2018 |
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[11]
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Spoken Indian language identification: a review of features and databases
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Sadhana,
2018 |
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[12]
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A Review on Automatic Speech Recognition System in Indian Regional Languages
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2018 |
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[13]
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PAL: Personal Assistant System Using Low-Cost Computer
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2017 |
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[14]
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Recent Trends in Speech Recognition approaches and its application for Telugu Language for Speech & Hearing Impaired
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2017 |
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[15]
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HMM-Based Lightweight Speech Recognition System for Gujarati
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2017 |
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[16]
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ANALYSING LINGUISTIC ISSUES IN HINDI SPEECH RECOGNITION AND INTELLIGENT RESPONSE GENERATION USING A SOFT COMPUTING …
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2017 |
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[17]
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A Review: Speech Reorganization by Using Artificial Neural Network
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2016 |
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[18]
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A review on sub-word unit modeling in automatic speech recognition
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IOSR Journal of VLSI and Signal Processing,
2016 |
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[19]
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Correlative consideration concerning feature extraction techniques for Speech Recognition-a Review
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2016 |
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[20]
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Performance Based Comparision of MFCC and LPC Techniques for Gujarati Numbers Detection
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Emerging Research in Computing, Information, Communication and Applications,
2016 |
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[21]
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Correlative consideration concerning feature extraction techniques for speech recognition—A review
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2016 |
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[22]
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HTK Based Speech Recognition Systems for Indian Regional languages: A Review
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International Research Journal of Engineering and Technology,
2016 |
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[23]
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Accent based speech recognition of gujarati language
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2016 |
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[24]
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ANALYSING LINGUISTIC ISSUES IN HINDI SPEECH RECOGNITION AND INTELLIGENT RESPONSE GENERATION USING A SOFT COMPUTING APPROACH
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2016 |
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[25]
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HINDI SPEECH RECOGNITION AND INTELLIGENT RESPONSE GENERATION USING A SOFT COMPUTING APPROACH
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2016 |
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[26]
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Comparative economics of cucumber cultivation under polyhouses and open field conditions in Haryana
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2015 |
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[27]
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Bangladeshi Dialect Recognition using MFCC, Delta, Delta-delta and GMM
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2015 |
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[28]
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Isolated word recognition using neural network
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2015 Annual IEEE India Conference (INDICON),
2015 |
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[29]
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Comparative Study of MFCC And LPC Algorithms for Gujrati Isolated Word Recognition
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2015 |
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[30]
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Speech Recognition in Indian Languages—A Survey
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Recent Trends in Intelligent and Emerging Systems,
2015 |
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[31]
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A Review on Different Approaches for Speech Recognition System
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International Journal of Computer Applications,
2015 |
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[32]
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Phoneme and word based model for tamil speech recognition using GMM-HMM
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Advanced Computing and Communication Systems, 2015 International Conference on,
2015 |
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[33]
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Speech recognition system for Punjabi language
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2015 |
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[34]
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Continuous Hindi Speech Recognition using Monophone based Acoustic Modeling
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International Journal of Computer Applications,
2014 |
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[35]
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МОДЕЛИРОВАНИЕ РЕЧИ НА ОСНОВЕ МЕТОДОВ АДАПТИВНОЙ ФИЛЬТРАЦИИ
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2014 |
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[36]
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State of Research of Speech Recognition
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Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework. Springer India,
2014 |
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[37]
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MATLAB Based Feature Extraction Using Mel Frequency Cepstrum Coefficients for Automatic Speech Recognition
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International Journal of Science, Engineering and Technology Research (IJSETR),
2014 |
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[38]
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Automatic Speech Recognition of accented Hindi data
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Computation of Power, Energy, Information and Communication (ICCPEIC), 2014 International Conference,
2014 |
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[39]
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Phoneme confusability reduction by using visual information in noisy environment
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2014 |
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[40]
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Gender identification of children using hidden Markov model based on Mel-frequency cepstral coefficient/Adira Ibrahim
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2013 |
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[41]
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Gender Identification of Children Using Hidden Markov Model Based on Mel-frequency Cepstral Coefficient
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2013 |
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[42]
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Exploring the viability of Modified Cellulosi c Polymer and its use as reinforcement to obtain Green Composite by Advance d Analytical and Evaluation …
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2012 |
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