Literature DB >> 7354199

A physical method for measuring speech-transmission quality.

H J Steeneken, T Houtgast.   

Abstract

A physical method for measuring the quality of speech-transmission channels has been developed. Essentially, the method represents an extension of the Articulation Index (AI) concept, which was developed mainly to account for distortions in the frequency domain (noise, bandpass-limiting). The underlying concept of the present approach, based on the Modulation Transfer Function (MTF) of a transmission channel, has been adapted to account for nonlinear distortions (peak clipping) as well as for distortions in the time domain (reverberation, echoes, AGC). The resulting index, the Speech-Transmission Index (STI), has been correlated with subjective intelligibility scores obtained on 167 different transmission channels with a wide variety of disturbances. The relative predictive power of the STI, expressed in PB-word score, appeared to be 5%. This accuracy is comparable with results obtained from subjective measurements when about four talkers and four listeners are used. Expressed in terms of signal-to-noise ratio, the accuracy is about 1 dB. Pilot studies have been carried out to evaluate the use of the STI for testing digital-speech transmission channels.

Mesh:

Year:  1980        PMID: 7354199     DOI: 10.1121/1.384464

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  63 in total

1.  Improvements in speech understanding with wireless binaural broadband digital hearing instruments in adults with sensorineural hearing loss.

Authors:  Brian M Kreisman; Annette G Mazevski; Donald J Schum; Ravichandran Sockalingam
Journal:  Trends Amplif       Date:  2010-05-10

2.  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

3.  Identifying fragments of natural speech from the listener's MEG signals.

Authors:  Miika Koskinen; Jaakko Viinikanoja; Mikko Kurimo; Arto Klami; Samuel Kaski; Riitta Hari
Journal:  Hum Brain Mapp       Date:  2012-02-17       Impact factor: 5.038

4.  Cochlea-scaled spectral entropy predicts rate-invariant intelligibility of temporally distorted sentences.

Authors:  Christian E Stilp; Michael Kiefte; Joshua M Alexander; Keith R Kluender
Journal:  J Acoust Soc Am       Date:  2010-10       Impact factor: 1.840

5.  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

6.  Comparing the information conveyed by envelope modulation for speech intelligibility, speech quality, and music quality.

Authors:  James M Kates; Kathryn H Arehart
Journal:  J Acoust Soc Am       Date:  2015-10       Impact factor: 1.840

7.  Intelligibilities of 1-octave rectangular bands spanning the speech spectrum when heard separately and paired.

Authors:  Richard M Warren; James A Bashford; Peter W Lenz
Journal:  J Acoust Soc Am       Date:  2005-11       Impact factor: 1.840

Review 8.  Basic auditory processes involved in the analysis of speech sounds.

Authors:  Brian C J Moore
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-03-12       Impact factor: 6.237

9.  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

10.  Contribution of consonant landmarks to speech recognition in simulated acoustic-electric hearing.

Authors:  Fei Chen; Philipos C Loizou
Journal:  Ear Hear       Date:  2010-04       Impact factor: 3.570

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