International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 11, No. 5, 8 May 2019
Cover page and Table of Contents: PDF (size: 752KB)
An Extensive Review of Feature Extraction Techniques, Challenges and Trends in Automatic Speech Recognition
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Author(s)
Vidyashree Kanabur
1,*
Sunil S Harakannanavar
1
Dattaprasad Torse
2
Index Terms
Automatic Speech Recognition, Feature Extraction, Acoustics, Phonemes, Pattern Recognition, Artificial Intelligence
Abstract
Speech is the natural mode of communication between humans. Human-to-machine interaction is gaining importance in the past few decades which demands the machine to be able to analyze, respond and perform tasks at the same speed as performed by human. This task is achieved by Automatic Speech Recognition (ASR) system which is typically a speech-to-text converter. In order to recognize the areas of further research in ASR, one must be aware of the current approaches, challenges faced by each and issues that needs to be addressed. Therefore, in this paper human speech production mechanism is discussed. The various speech recognition techniques and models are addressed in detail. The performance parameters that measure the accuracy of the system in recognizing the speech signal are described.
Cite This Paper
Vidyashree Kanabur, Sunil S Harakannanavar, Dattaprasad Torse, "An Extensive Review of Feature Extraction Techniques, Challenges and Trends in Automatic Speech Recognition", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.5, pp. 1-12, 2019. DOI: 10.5815/ijigsp.2019.05.01
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