Development of Phonemically Balanced Word List in Tamil for Speech Audiometry and Evaluation of Its Effectiveness in Adults

Menon, Mahima Sasikumar; Thangaraj, Muthu selvi

doi:10.1007/s12070-023-04209-y

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…In phase one, the participants' general musical ability and working memory was tested. Working memory was included as literature has demonstrated that innate musical capabilities and working memory to have an influence on processing SIN and LE [5,25]. In phase two, the LE was measured using pupillometry.…”

Section: Methodsmentioning

confidence: 99%

“…The current study incorporated South Indian "Carnatic" music, which is unique in many ways, particularly in the style of its rendition that involves "gamakas" (oscillation across notes) and microtones. This music form is built upon "Raga" (melodic aspect) and "Tala" (rhythmic components), and is distinctly complex with significant subtle pitch fluctuations compared to the melody and rhythm in Western music [24,25]. While general musical training has been shown to increase SIN scores by 6% to 8%, Carnatic music has demonstrated enhanced SIN scores by up to 16% to 18% [24].…”

Section: Introductionmentioning

confidence: 99%

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Listening Effort for Speech in Noise Perception Using Pupil Dilation: A Comparison Among Percussionists, Non-Percussionists, and Non-Musicians

Lavanya,

Rajaram,

Vaidyanath

et al. 2024

J Audiol Otol

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Background and Objectives:Most studies in literature attribute the benefits of musical training on speech in noise (SIN) perception to "experience-based" plasticity, which assists in the activation of speech-processing networks. However, whether musicianship provides an advantage for the listening effort (LE) required to comprehend speech in degraded environments has received less attention. The current study aimed to understand the influence of Indian classical music training on SIN perception and its related LE across percussionists, non-percussionists, and non-musicians. Subjects and Methods: A quasi-experiment was conducted on 16 percussionists, 17 non-percussionists, and 26 non-musicians aged 18-35 years with normal hearing. In phase 1, musical abilities were assessed using Mini-Profile of Music Perception Skills (Mini-PROMS). Phase 2 examined SIN using Tamil Phonemically-Balanced Words and Tamil Matrix Sentence Test at +5 dB, 0 dB, and -5 dB SNR and LE using pupillometry, measuring pupil dilations with an eye-tracker. Results: Fractional Logit and Linear Regression models demonstrated that percussionists outperformed non-percussionists in Tuning and Speed subsets of Mini-PROMS. Percussionists outperformed non-percussionists and non-musicians in SIN and LE at -5 dB SNR for words and at 0 dB and -5 dB SNR for sentences. Conclusions: Percussionists have the greatest advantage in decoding SIN with reduced LE followed by non-percussionists and non-musicians, demonstrating musician-advantage in most challenging listening conditions.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Listening Effort for Speech in Noise Perception Using Pupil Dilation: A Comparison Among Percussionists, Non-Percussionists, and Non-Musicians

Lavanya,

Rajaram,

Vaidyanath

et al. 2024

J Audiol Otol

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“…Although the basic principles of test development for speech audiometry remain the same across languages, the specific test materials differ due to phonetic characteristics and cultural contexts. A variety of word lists have been created in many different languages based on the specific features of the given language, such as Greek, Turkish, Polish, Korean, Mandarin, Tamil, Cantonese and Arabic [5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Speech Audiometry: The Development of Lithuanian Bisyllabic Phonemically Balanced Word Lists for Evaluation of Speech Recognition

Vainutienė,

Ivaška,

Kardelis

et al. 2024

Applied Sciences

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Background and Objectives: Speech audiometry employs standardized materials, typically in the language spoken by the target population. Language-specific nuances, including phonological features, influence speech perception and recognition. The material of speech audiometry tests for the assessment of word recognition comprises lists of words that are phonemically or phonetically balanced. As auditory perception is influenced by a variety of linguistic features, it is necessary to develop test materials for the listener’s mother tongue. The objective of our study was to compose and evaluate new lists of Lithuanian words to assess speech recognition abilities. Materials and Methods: The main criteria for composing new lists of Lithuanian words included the syllable structure and frequency, the correlation between consonant and vowel phonemes, the frequency of specific vowel and consonant phonemes, word familiarity and rate. The words for the new lists were chosen from the Frequency Dictionary of Written Lithuanian according to the above criteria. Word recognition was assessed at different levels of presentations. The word list data were analyzed using a linear mixed-effect model for repeated measures. Results: Two hundred bisyllabic words were selected and organized into four lists. The results showed no statistically significant difference between the four sets of words. The interaction of the word list and presentation level was not statistically significant. Conclusions: Monaural performance functions indicated good inter-list reliability with no significant differences between the word recognition scores on the different bisyllabic word lists at each of the tested intensities. The word lists developed are equivalent, reliable and can be valuable for assessing speech recognition in a variety of conditions, including diagnosis, hearing rehabilitation and research.

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Development of Phonemically Balanced Word List in Tamil for Speech Audiometry and Evaluation of Its Effectiveness in Adults

Cited by 2 publications

References 7 publications

Listening Effort for Speech in Noise Perception Using Pupil Dilation: A Comparison Among Percussionists, Non-Percussionists, and Non-Musicians

Listening Effort for Speech in Noise Perception Using Pupil Dilation: A Comparison Among Percussionists, Non-Percussionists, and Non-Musicians

Speech Audiometry: The Development of Lithuanian Bisyllabic Phonemically Balanced Word Lists for Evaluation of Speech Recognition

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