Published April 30, 2020 | Version v1
Journal article Open

Isolated Keyword Spotting in Multilingual Environment using ANN and MFCC

  • 1. Research Scholar, Department of Computer Applications, Assam Don Bosco University, Guwahati, India.
  • 2. Assistant Professor (Sr.), Department of Computer Applications, Assam Don Bosco University, Guwahati, India.
  • 1. Publisher

Description

The performance and analysis of Keyword Spotting system (KWS) are applied when the training and testing in a multilingual environment. This paper exhibits an approach for building up a multilingual KWS framework for Assamese, English and Hindi language dependent on feed-forward neural system. Mel Frequency Cepstral Coefficient (MFCC) has been utilized for highlight extraction which gives a lot of highlight vectors from recorded sound examples. Neural Network backpropagation model is utilized to improve the acknowledgment execution on the recently made multilingual database utilizing the multi-layer feed-forward neural system classifier.

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Journal article: 2249-8958 (ISSN)

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ISSN
2249-8958
Retrieval Number
C6135029320 /2020┬ęBEIESP