Experimental analysis of the changes in speech while normal speaking, walking, running, and eating

Ansari, S and Mittal, SK and Prasad, VK (2020) Experimental analysis of the changes in speech while normal speaking, walking, running, and eating. In: 3rd International Conference on Computational Intelligence and Informatics, 27-29 December 2018, Hyderabad, India, pp. 85-95.

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Abstract

Speech communication is a mundane activity. People talk while ambling, running, biking, eating, and so on. This paper analyzes the variability in speech parameters while a person speaking when walking, eating, or running with the normal speaking. In this paper, we get information about the analysis of speech signals while normally speaking and speaking along with walking, eating, or running. The analysis of speech signal, according to minimum pitch, maximum pitch, mean energy intensity and mean F1 (first formant), has been carried out and also experimented in Praat, and then the problem is implemented in MATLAB. This paper meets the variation in speech parameters in different scenarios. The clustering is performed, and the paper presents an experimental comparison of two different features of speech. © Springer Nature Singapore Pte Ltd. 2020.

Item Type:	Conference Paper
Publication:	Advances in Intelligent Systems and Computing
Publisher:	Springer
Additional Information:	Copyright of this article belongs to Springer
Keywords:	Artificial intelligence; Continuous speech recognition; Signal analysis; Speech, Experimental analysis; Experimental comparison; Maximum pitch; Mean energy; Speech signals, Speech communication
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	09 Apr 2021 11:13
Last Modified:	09 Apr 2021 11:13
URI:	http://eprints.iisc.ac.in/id/eprint/65376

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