Literature DB >> 16419830

The influence of noise on vowel and consonant cues.

Gaurang Parikh1, Philipos C Loizou.   

Abstract

This study assessed the acoustic and perceptual effect of noise on vowel and stop-consonant spectra. Multi-talker babble and speech-shaped noise were added to vowel and stop stimuli at -5 to +10 dB S/N, and the effect of noise was quantified in terms of (a) spectral envelope differences between the noisy and clean spectra in three frequency bands, (b) presence of reliable F1 and F2 information in noise, and (c) changes in burst frequency and slope. Acoustic analysis indicated that F1 was detected more reliably than F2 and the largest spectral envelope differences between the noisy and clean vowel spectra occurred in the mid-frequency band. This finding suggests that in extremely noisy conditions listeners must be relying on relatively accurate F1 frequency information along with partial F2 information to identify vowels. Stop consonant recognition remained high even at -5 dB despite the disruption of burst cues due to additive noise, suggesting that listeners must be relying on other cues, perhaps formant transitions, to identify stops.

Mesh:

Year:  2005        PMID: 16419830     DOI: 10.1121/1.2118407

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


  33 in total

1.  The effects of selective consonant amplification on sentence recognition in noise by hearing-impaired listeners.

Authors:  Rithika Saripella; Philipos C Loizou; Linda Thibodeau; Jennifer A Alford
Journal:  J Acoust Soc Am       Date:  2011-11       Impact factor: 1.840

2.  Effects of introducing low-frequency harmonics in the perception of vocoded telephone speech.

Authors:  Yi Hu; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2010-09       Impact factor: 1.840

3.  Masking release and the contribution of obstruent consonants on speech recognition in noise by cochlear implant users.

Authors:  Ning Li; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2010-09       Impact factor: 1.840

Review 4.  Objective neural indices of speech-in-noise perception.

Authors:  Samira Anderson; Nina Kraus
Journal:  Trends Amplif       Date:  2010-06

5.  Speech enhancement for listeners with hearing loss based on a model for vowel coding in the auditory midbrain.

Authors:  Akshay Rao; Laurel H Carney
Journal:  IEEE Trans Biomed Eng       Date:  2014-03-25       Impact factor: 4.538

6.  Sentence recognition in native- and foreign-language multi-talker background noise.

Authors:  Kristin J Van Engen; Ann R Bradlow
Journal:  J Acoust Soc Am       Date:  2007-01       Impact factor: 1.840

7.  Perception of Place of Articulation for Plosives and Fricatives in Noise.

Authors:  Abeer Alwan; Jintao Jiang; Willa Chen
Journal:  Speech Commun       Date:  2011-02-01       Impact factor: 2.017

8.  Spectral-ripple resolution correlates with speech reception in noise in cochlear implant users.

Authors:  Jong Ho Won; Ward R Drennan; Jay T Rubinstein
Journal:  J Assoc Res Otolaryngol       Date:  2007-06-21

9.  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

10.  Information from the voice fundamental frequency (F0) region accounts for the majority of the benefit when acoustic stimulation is added to electric stimulation.

Authors:  Ting Zhang; Michael F Dorman; Anthony J Spahr
Journal:  Ear Hear       Date:  2010-02       Impact factor: 3.570

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