본문 바로가기
KERD
논문KCI 등재

Perception of Tamil Mono-Syllabic and Bi-Syllabic Words in Multi-Talker Speech Babble by Young Adults with Normal Hearing

2

조회

0

다운로드

2

인용

0

참고문헌

초록

Background and Objectives: This study compared the perception of mono-syllabic and bisyllabic words in Tamil by young normal hearing adults in the presence of multi-talker speech babble at two signal-to-noise ratios (SNRs). Further for this comparison, a speech perception in noise test was constructed using existing mono-syllabic and bi-syllabic word lists in Tamil. Subjects and Methods: A total of 30 participants with normal hearing in the age range of 18 to 25 years participated in the study. Speech-in-noise test in Tamil (SPIN-T) constructed using mono-syllabic and bi-syllabic words in Tamil was used as stimuli. The stimuli were presented in the background of multi-talker speech babble at two SNRs (0 dB and +10 dB SNR). Results: The effect of noise on SPIN-T varied with SNR. All the participants performed better at +10 dB SNR, the higher of the two SNRs considered. Additionally, at +10 dB SNR performance did not vary significantly for neither mono-syllabic or bi-syllabic words. However, a significant difference existed at 0 dB SNR. Conclusions: The current study indicated that higher SNR leads to better performance. In addition, bi-syllabic words were identified with minimal errors compared to mono-syllabic words. Spectral cues were the most affected in the presence of noise leading to more of place of articulation errors for both mono-syllabic and bi-syllabic words.

Abstract

Background and Objectives: This study compared the perception of mono-syllabic and bisyllabic words in Tamil by young normal hearing adults in the presence of multi-talker speech babble at two signal-to-noise ratios (SNRs). Further for this comparison, a speech perception in noise test was constructed using existing mono-syllabic and bi-syllabic word lists in Tamil. Subjects and Methods: A total of 30 participants with normal hearing in the age range of 18 to 25 years participated in the study. Speech-in-noise test in Tamil (SPIN-T) constructed using mono-syllabic and bi-syllabic words in Tamil was used as stimuli. The stimuli were presented in the background of multi-talker speech babble at two SNRs (0 dB and +10 dB SNR). Results: The effect of noise on SPIN-T varied with SNR. All the participants performed better at +10 dB SNR, the higher of the two SNRs considered. Additionally, at +10 dB SNR performance did not vary significantly for neither mono-syllabic or bi-syllabic words. However, a significant difference existed at 0 dB SNR. Conclusions: The current study indicated that higher SNR leads to better performance. In addition, bi-syllabic words were identified with minimal errors compared to mono-syllabic words. Spectral cues were the most affected in the presence of noise leading to more of place of articulation errors for both mono-syllabic and bi-syllabic words.

참고문헌 (24)

  1. Carhart R, "Interaction of competing speech signals with hearing losses", Arch Otolaryngol, 91, pp.273~279 (1970)
  2. Easwar V, "Audiological practice in India: an internet-based survey of audiologists", Indian J Otolaryngol Head Neck Surg, 65(Suppl 3), pp.636~644 (2013)
  3. Sperry JL, "Word recognition performance in various background competitors", J Am Acad Audiol, 8, pp.71~80 (1997)
  4. Taylor B., "Speech-in-noise tests: how and why to include them in your basic test battery", Hear J, 56, pp.40~42 (2003)
  5. Wilson RH, "Speech signals used to evaluate functional status of the auditory system", J Rehabil Res Dev, 42(4 Suppl 2), pp.79~94 (2005)
  6. Wilson RH, "Word recognition of digit triplets and monosyllabic words in multitalker babble by listeners with sensorineural hearing loss", J Am Acad Audiol, 17, pp.385~397 (2006)
  7. Killion MC, "Development of a quick speech-in-noise test for measuring signal-tonoise ratio loss in normal-hearing and hearing-impaired listeners", J Acoust Soc Am, 116(4 Pt 1), pp.2395~2405 (2004)
  8. Pisoni DB, "Word identification in noise", Lang Cognit Process, 11, pp.681~688 (1996)
  9. Hochmuth S, "A Spanish matrix sentence test for assessing speech reception thresholds in noise", Int J Audiol, 51, pp.536~544 (2012)
  10. Gustafsson HÅ, "Masking of speech by amplitudemodulated noise", J Acoust Soc Am, 95, pp.518~529 (1994)
  11. Wilson RH, "The Words-in-Noise (WIN)test with multitalker babble and speech-spectrum noise maskers", J Am Acad Audiol, 18, pp.522~529 (2007)
  12. Roy S., "Speech Perception in Noise (SPIN) with high frequency Kannada words: normative data" (2005), All India Institute of Speech and Hearing
  13. Samuel JD, "Development and standardization of phonetically balanced test materials in Tamil language" (1976), All India Institute of Speech and Hearing
  14. Boominathan P., "Picture speech identification test for children in Tamil" (1999), All India Institute of Speech and Hearing
  15. Borovsky A, "Knowing a lot for one's age: vocabulary skill and not age is associated with anticipatory incremental sentence interpretation in children and adults", J Exp Child Psychol, 112, pp.417~436 (2012)
  16. Subramaniyan B., "Development of a standardized reading passage in Tamil", pp.2005
  17. Beattie RC, "Normal and hearing-impaired word recognition scores for monosyllabic words in quiet and noise", Br J Audiol, 31, pp.153~164 (1997)
  18. Hood JD, "Influence of the speaker and other factors affecting speech intelligibility", Audiology, 19, pp.434~455 (1980)
  19. Black JW, "Accompaniments of word intelligibility", J Speech Hear Disord, 17, pp.409~418 (1952)
  20. Studebaker GA, "Monosyllabic word recognition at higher-than-normal speech and noise levels", J Acoust Soc Am, 105, pp.2431~2444 (1999)
  21. Gelfand SA, "Consonant recognition in quiet and in noise with aging among normal hearing listeners", J Acoust Soc Am, 80, pp.1589~1598 (1986)
  22. Alwan A, "Perception of place of articulation for plosives and fricatives in noise", Speech Commun, 53, pp.195~209 (2011)
  23. Bilger RC, "Consonant confusions in patients with sensorineural hearing loss", J Speech Lang Hear Res, 19, pp.718~748 (1976)
  24. Smith KG, "Speech recognition error patterns for steadystate noise and interrupted speech", J Acoust Soc Am, 142, pp.EL 306~EL 312 (2017)

관련 논문AI추천

이 간행물의 다른 논문 (6건)