NDLI: Using neural network and principal component analysis to study vowel recognition with temporal envelope cues

Content Provider	IEEE Xplore Digital Library
Author	Kaibao Nie Fan-Gang Zeng
Copyright Year	2004
Description	Author affiliation: Dept. of Biomed. Eng., California Univ., Irvine, CA, USA (Kaibao Nie; Fan-Gang Zeng)
Abstract	Previous studies in normal-hearing and cochlear-implant subjects have shown high levels of speech recognition with primarily temporal envelope cues. The present study used principal component analysis (PCA) to extract important features in temporal envelopes and then constructed a 3-layer feedforward artificial neural network to study their role in vowel recognition. Twelve vowels by 30 speakers in a /hVd/ context served as the test material. Temporal envelopes from 1 to 8 spectral bands were extracted and subjected to PCA with 15 principle components. Similar to previous perceptual data, the present study showed that 63% correct vowel recognition was achieved with only 4-band envelope cues. The principle components responsible for this high level of vowel recognition included phonemic transition cues and steady-state amplitude cues. The present result can be applied to the development of novel algorithms to improve performance for automatic speech recognition and auditory prosthetic devices.
Starting Page	4592
Ending Page	4595
File Size	593207
Page Count	4
File Format	PDF
ISBN	0780384393
DOI	10.1109/IEMBS.2004.1404273
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Principal component analysis Speech recognition Feature extraction Artificial neural networks Materials testing Data mining Steady-state Automatic speech recognition Prosthetics vowel recognition Artificial neural network cochlear implant principal component analysis temporal envelope
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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