DocumentCode
3191053
Title
Quantitative and qualitative (subjective) perceptual measures for speech processing applications
Author
Magotra, N. ; Kirstein, M. ; Sirivara, S. ; Hamill, T.
Author_Institution
Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Volume
1
fYear
1996
fDate
3-6 Nov. 1996
Firstpage
766
Abstract
This paper addresses perceptual measures, both quantitative and qualitative (subjective) that are indicative of the effectiveness of the speech processing performed by a digital hearing aid. The system (based on Texas Instruments TMS320C3X digital signal processing (DSP) chip) can implement spectral shaping, noise reduction (speech enhancement), multichannel compression and multichannel interaural delay. This paper presents three quantitative measures of evaluating the processed signal, using the adaptive noise reduction option, and correlates these measures with qualitative feedback obtained from human subjects. The three quantitative measures discussed are signal to noise ratio (SNR) improvement, relative signal power using the power density spectrum, and spectral distance measured by root mean square (RMS) logarithm spectral distortion. For the subjective measure, an experiment was designed using a test data set consisting of eight sentences.
Keywords
adaptive signal processing; digital signal processing chips; hearing aids; interference suppression; spectral analysis; speech enhancement; speech intelligibility; speech processing; DSP chip; RMS logarithm spectral distortion; SNR improvement; Texas Instruments TMS320C3X; adaptive noise reduction; digital hearing aid; digital signal processing chip; multichannel compression; multichannel interaural delay; noise reduction; perceptual measures; power density spectrum; qualitative measures; quantitative measures; relative signal power; root mean square logarithm spectral distortion; signal to noise ratio; spectral distance; spectral shaping; speech enhancement; speech processing applications; subjective measures; Density measurement; Digital signal processing chips; Distortion measurement; Noise measurement; Noise reduction; Performance evaluation; Power measurement; Semiconductor device measurement; Signal to noise ratio; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-8186-7646-9
Type
conf
DOI
10.1109/ACSSC.1996.601157
Filename
601157
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