Literature DB >> 22701153

Speech Recognition Performance under Noisy Conditions of Children with Hearing Loss.

Hui-Mei Yang1, Yi-Jung Hsieh, Jiunn-Liang Wu.   

Abstract

OBJECTIVES: In order to understand the communicative abilities of hearing impaired children in noisy situations and their communication problems, this study was undertaken to examine speech recognition at different background noise levels, and to compare how context cues in noisy situations affect speech recognition.
METHODS: Thirty-four children with severe/profound hearing impairment were enrolled. Fifteen children had cochlear implants (CIs) and 19 used hearing aids (HAs). The Mandarin Speech Perception in Noise (SPIN) test was performed under two levels of background noise, signal-to-noise ratio (SNR) 10 dB and SNR 0 dB (high and low levels, respectively). High predictive (HP) and low predictive (LP) sentences SPIN test scores were recorded to test the effect of context cues on speech recognition.
RESULTS: Performance was significantly better in children with CIs (SNR 10: mean, 49.44, standard deviation [SD], 13.90; SNR 0: mean, 31.95, SD, 15.72) than in children with HAs (SNR 10: mean, 33.33, SD, 9.72; SNR 0: mean, 19.52, SD, 6.67; P<0.05) in both noise backgrounds, but no significant interaction was found between devices and background noise level. Hearing-impaired children performed better at SNR 10 dB (mean, 40.44; SD, 14.12) than at SNR 0 dB (mean, 25.0; SD, 12.98), significantly (P<0.001). Performance for HP sentences (mean, 38.6; SD, 12.66) was significantly (P<0.001) better than that for LP sentences (mean, 25.25; SD, 12.93). An interaction was found to between background noise level and contextual cues in sentences (F=8.47, P<0.01).
CONCLUSION: The study shows that SNR conditions significantly influence speech recognition performance in children with severe/profound hearing impairment. Under better SNR listening situations, children have better speech recognition when listening to sentences with contextual cues. Children with CIs perform better than children with HAs at both noise levels.

Entities:  

Keywords:  Children; Communication; Hearing impaired; Noise; Speech perception

Year:  2012        PMID: 22701153      PMCID: PMC3369988          DOI: 10.3342/ceo.2012.5.S1.S73

Source DB:  PubMed          Journal:  Clin Exp Otorhinolaryngol        ISSN: 1976-8710            Impact factor:   3.372


INTRODUCTION

Scientific auditory devices, such as, hearing aids and cochlear implants, have improved speech perception in quiet environments for the hearing impaired (1), but in real environments background noises are invariably present, and these can mask cues in speech messages, and thus, affect speech recognition and learning (2, 3). In order to assess the communicative abilities of hearing impaired children in noisy situations and to understand their communication problems, we undertook this study was to examine speech recognition at various background noise levels, and then sought to determine whether context cues in noisy situations affect speech recognition.

MATERIALS AND METHODS

Participants

Thirty-four children with severe/profound hearing impairment were enrolled. There were 15 children with cochlear implants (CIs) and 19 children with hearing aids (HAs). All study subjects met the following criteria: 1) an age of over 10 years; 2) oral language was the only method of communication; 3) unaided threshold of pure-tone audiometry of the better ear of >70 dBHL; 4) auditory device use for at least 1 year, and 5) the ability to be assessed for open-set speech perception. Table 1 shows the demographic data of the study subjects. With the exception of items related to the hearing thresholds of better ears and aided thresholds, no significant difference was found between the CI and HA groups.
Table 1

Demographic data of the study subjects

CI, cochlear implant; HA, hearing aid; SD, standard deviation.

Testing materials & procedures

The Speech Perception in Noise (SPIN) test of the Mandarin version was composed of sentences presented in a babble-type noise. Listener response was the final word in the presented sentence (the keyword), which was always a monosyllabic word. Test items were presented at two different levels of noisy situations, that is, signal-to-noise ratio (SNR) 10 dB and SNR 0 dB. Stimuli and babbling noise were 60/50 dBHL at SNR 10 dB, and 50/50 dBHL at SNR 0 dB, and were delivered via a loudspeaker placed 1 M and at the 45 azimuth from subjects. Children responded by writing-down procedures, and their responses were scored as the percentage of words correctly identified. Two types of sentences were used: high predictability (HP) items, for which the key word was somewhat predictable based on context, and low predictability (LP) items, for which the final word could not be predicted from context. The scores of HP and LP sentences of the SPIN test were recorded separately to test the effect of context cues on speech recognition. Two-way ANOVA was used for the statistical analyses and P-values of <0.05 were considered significant. Two interaction relationships were analyzed. First, we tested the effects of independent variables (devices and SNR conditions) on the dependent variable (speech recognition). Second, we test the effects of the independent variables (contextual cues and SNR conditions) on the dependent variable (speech recognition).

RESULTS

Two-way ANOVA (Table 2) demonstrated the main effects of both devices and SNR conditions on speech recognition were significant, but that the interaction effect between devices and SNR conditions was non-significant. Hearing-impaired children performed significantly better at SNR 10 dB (mean, 40.44; standard deviation [SD], 14.12) than at SNR 0 dB (mean, 25.0; SD, 12.98; F=12.67; P<0.001). Furthermore, performance was significantly better for children with CIs (SNR 10: mean, 49.44, SD, 13.90; SNR 0: mean, 31.95, SD, 15.72) than for children with HAs (SNR 10: mean, 33.33, SD, 9.72; SNR 0: mean, 19.52, SD, 6.67; F=14.57; P<0.05) under the two situations. However, no significant interaction (F=1.56, P=0.22) between devices and noisy situations was found (Fig. 1). These findings showed that speech recognition was better for children with CIs than children using HAs. In addition, all children had better results at SNR 10 than SNR 0 condition. No relation was found between the independent variables (devices and SNR conditions).
Table 2

SPIN performance of children with CIs and HAs under the two conditions

SPIN, Speech Perception in Noise; CI, cochlear implant; HAs, hearing aids; SD, standard deviation; SNR, signal-to-noise ratio.

Fig. 1

The Speech Perception in Noise (SPIN) performance of children with cochlear implants (CIs) and hearing aids (HAs) under the two conditions. SNR, signal-to-noise ratio.

Two-way ANOVA (Table 3) showed the main effects, contextual cues and SNR conditions, on speech recognition were significant, and that the interaction between contextual cues and SNR conditions was also significant. The performance of hearing impaired children for HP sentences (mean, 38.6; SD, 12.66) was significantly better than for LP sentences (mean, 25.25; SD, 12.93) (F=115.79, P<0.001), and an interaction was found between noise level and contextual cues in sentences (F=8.47, P<0.01). This meant children's results for HP and LP sentences at SNR 0 dB are more different than at SNR 10 dB (Table 3, Fig. 2), and that speech recognition performance to different levels of contextual cues (HP/LP) is affected by different signal-noise ratios. Furthermore, contextual cues had a smaller effect under SNR 10 than under SNR 0.
Table 3

SPIN performance for HP and LP sentences under the two conditions

SPIN, Speech Perception in Noise; HP, high predictability; LP, low predictability; SD, standard deviation; SNR, signal-to-noise ratio.

Fig. 2

The Speech Perception in Noise (SPIN) performance for high predictability (HP) and low predictability (LP) sentences under the two conditions. SNR, signal-to-noise ratio.

DISCUSSION

The present study shows that environmental noise significantly influences speech recognition performance in children with severe/profound hearing impairment. Children with CIs performed better than children with HAs under SNR 10 dB and SNR 0 dB conditions. The accuracy of speech recognition at SNR 10 dB was about 50% for CI children and 33.33% for HA children. These results concur with those of previous studies (4, 5). Spoken sentences that provide contextual cues enhance the speech perception of children with severe/profound hearing impairments, especially in higher SNR situations. The accuracies of speech recognition under the noisier condition (SNR 0 dB) were 38.6% and 25.25% for HP and LP sentences, which is similar to that found by Lee et al. (6) and Elliott (7). Furthermore, an interaction was found between noisy level and contextual cues in sentences, meaning that the performance of hearing impaired children was much affected by the higher SNR situation, and suggesting that contextual cues substantially improve comprehension by hearing impaired children in noisy situations. The present study demonstrates that background noise masks speech information and could disturb learning, and shows that high-predictability sentences are more easily understood in noisy environments. Some suggestions were as follows: 1) Increase SNR was necessary; 2) Teachers' conversation was followed the major topics and gave the clear cues of speechreading; 3) The FM system was suggested if necessary.
  6 in total

1.  Variation in speech perception scores among children with cochlear implants.

Authors:  J Z Sarant; P J Blamey; R C Dowell; G M Clark; W P Gibson
Journal:  Ear Hear       Date:  2001-02       Impact factor: 3.570

2.  Accuracy of cochlear implant recipients on pitch perception, melody recognition, and speech reception in noise.

Authors:  Kate Gfeller; Christopher Turner; Jacob Oleson; Xuyang Zhang; Bruce Gantz; Rebecca Froman; Carol Olszewski
Journal:  Ear Hear       Date:  2007-06       Impact factor: 3.570

3.  Performance of children aged 9 to 17 years on a test of speech intelligibility in noise using sentence material with controlled word predictability.

Authors:  L L Elliott
Journal:  J Acoust Soc Am       Date:  1979-09       Impact factor: 1.840

4.  Speech Recognition in noise in children with cochlear implants while listening in bilateral, bimodal, and FM-system arrangements.

Authors:  Erin C Schafer; Linda M Thibodeau
Journal:  Am J Audiol       Date:  2006-12       Impact factor: 1.493

5.  Speech recognition in background noise of cochlear implant patients.

Authors:  Bruce L Fetterman; Elizabeth H Domico
Journal:  Otolaryngol Head Neck Surg       Date:  2002-03       Impact factor: 3.497

6.  Evaluation of speech perception in noise in cochlear implanted adults.

Authors:  Leandra Tabanez do Nascimento; Maria Cecília Bevilacqua
Journal:  Braz J Otorhinolaryngol       Date:  2005-12-15
  6 in total

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