Literature DB >> 8153564

Evaluation of a noise reduction method--comparison between observed scores and scores predicted from STI.

C Ludvigsen1, C Elberling, G Keidser.   

Abstract

Speech was mixed with different noise signals and then processed according to the well-known noise reduction method of 'spectral subtraction'. Three different algorithms were examined. The speech signals were subjected to a four alternative forced choice (4AFC) test. Both the processed and unprocessed signals were evaluated psycho-acoustically and objectively. Speech intelligibility was measured with the 4AFC test by presenting the signals via headphones to a group of normal-hearing and to a group of hearing-impaired listeners. The intelligibility scores were compared with the intelligibility scores predicted from a modified version of the Speech Transmission Index (STI). It appeared that although the noise reduction algorithms reduced the noise level, they did not improve the measured speech intelligibility, either for normal-hearing or for hearing-impaired listeners. This, however, was inconsistent with the scores estimated from STI, which erroneously predicted a significant improvement in intelligibility due to the noise reduction processing.

Entities:  

Mesh:

Year:  1993        PMID: 8153564

Source DB:  PubMed          Journal:  Scand Audiol Suppl        ISSN: 0107-8593


  8 in total

1.  Channel selection in the modulation domain for improved speech intelligibility in noise.

Authors:  Kamil K Wójcicki; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2012-04       Impact factor: 1.840

2.  Analysis of a simplified normalized covariance measure based on binary weighting functions for predicting the intelligibility of noise-suppressed speech.

Authors:  Fei Chen; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2010-12       Impact factor: 1.840

3.  Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions.

Authors:  Jianfen Ma; Yi Hu; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2009-05       Impact factor: 1.840

4.  Comparison of a short-time speech-based intelligibility metric to the speech transmission index and intelligibility data.

Authors:  Karen L Payton; Mona Shrestha
Journal:  J Acoust Soc Am       Date:  2013-11       Impact factor: 1.840

5.  Extending the articulation index to account for non-linear distortions introduced by noise-suppression algorithms.

Authors:  Philipos C Loizou; Jianfen Ma
Journal:  J Acoust Soc Am       Date:  2011-08       Impact factor: 1.840

6.  Predicting the intelligibility of vocoded speech.

Authors:  Fei Chen; Philipos C Loizou
Journal:  Ear Hear       Date:  2011 May-Jun       Impact factor: 3.570

7.  An intrusive method for estimating speech intelligibility from noisy and distorted signals.

Authors:  Nursadul Mamun; Muhammad S A Zilany; John H L Hansen; Evelyn E Davies-Venn
Journal:  J Acoust Soc Am       Date:  2021-09       Impact factor: 2.482

8.  Using Objective Metrics to Measure Hearing Aid Performance.

Authors:  James M Kates; Kathryn H Arehart; Melinda C Anderson; Ramesh Kumar Muralimanohar; Lewis O Harvey
Journal:  Ear Hear       Date:  2018 Nov/Dec       Impact factor: 3.570

  8 in total

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