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Assamese Speech-based Vocabulary Identification System using Convolutional Neural Network

Show simple item record Dutta, Dipankar Choudhury, Ridip Dev Barman, Utpal 2022-10-31T06:16:45Z 2022-10-31T06:16:45Z 2022-10-31
dc.identifier.issn 2210-142X
dc.description.abstract Though the machine learning techniques were being used in Assamese Language Automatic Speech Recognition (ALASR) system over the last five years, but the applications of Convolutional Neural Network (CNN) are very limited in ALASR. The present study introduces a Convolutional Neural Network (CNN) enabled ALASR system for the Assamese language by collecting 35 isolated words in five different prime emotions as Normal, Angry, Happy, Sad, and Fear from five native male and five native female speakers. During the experiment, the Mel Frequency Cepstral Coefficient (MFCCs), Spectral Centroid (SC), zero-crossing rate (ZCR), Chroma Frequencies (CF), spectral roll-off (SRO), and intensity are extracted and analyzed using CNN with convolution layers and max-pooling layers. To examine the consequences, other model such as Feed Forward Artificial Neural Network (FFANN) is likewise applied in ALASR. The evaluating results of CNN with an accuracy of 98.4 % outperformed the ANN accuracy of 86.4 %. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Automatic speech recognition, Mel Frequency Cepstral Co-efficient, Convolutional Neural Network, Feed Forward Neural Network,Pooling, Zero-crossing-rate en_US
dc.title Assamese Speech-based Vocabulary Identification System using Convolutional Neural Network en_US
dc.type Article en_US
dc.volume 12 en_US
dc.issue 1 en_US
dc.pagestart 1191 en_US
dc.pageend 1202 en_US
dc.contributor.authoraffiliation Department of Information Technology, Gauhati University, Assam, India en_US
dc.contributor.authoraffiliation Dept. of Computer Science, KKHSOU, Assam, India en_US
dc.contributor.authoraffiliation Department of Computer Sc. and Engineering, The Assam Kaziranga University, Jorhat, Assam, India en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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