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

Gnanasekar, Sasirekha; Vaidyanath, Ramya

doi:10.7874/jao.2018.00465

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…Phonemically balanced (PB) wordlist in Tamil [26] and Tamil Matrix Sentence Test (TMST) [27], in the presence of Tamil multi-talker babble [28] were used for measuring word and sentence perception in noise. The root mean square of speech and noise were matched and combined at 3 fixed SNRs of +5 dB, 0 dB, and -5 dB, using MATLAB version 2014b software (MathWorks, Natick, MA, USA).…”

Section: Stimulusmentioning

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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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: Stimulusmentioning

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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“…This prevented the participants from deducing entire sentences from context. For assessing speech perception in noise, these sentences were combined with multitalker speech babble, developed by Gnanasekar and Vaidyanath (2019), at three Signal-noise ratios (SNRs): −5 dB SNR (speech 5 dB lower than noise), 0 dB SNR (speech and noise at equal levels), and +5 dB SNR (speech 5 dB higher than noise). Participants were instructed to repeat as many words of the sentence as they could.…”

Section: Proceduresmentioning

confidence: 99%

Computerized music-based intervention module for auditory processing and working memory in older adults

Ramadas

Vaidyanath

Uppunda

et al. 2023

Front. Comput. Sci.

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IntroductionThe contribution of technology to the field of health is vast, both in diagnosis and management. More so, the use of computer-based intervention has become increasingly widespread over the past decade. Human beings experience a decline in auditory processing and cognitive skills as they age, consistent with deterioration of other bodily functions. In addition, speech perception abilities in both quiet and in the presence of noise are impacted by auditory processing abilities and cognitive skills such as working memory. This pilot study explored the use of music as an intervention for improving these skills and employed a computerized delivery of the intervention module.MethodA battery of tests was carried out to assess the baseline auditory processing and working memory skills in eight older adults between the ages of 56 and 79 years, all of whom had normal hearing. Following the assessment, a short-term computerized music-based intervention was administered. The style of music chosen was Carnatic classical music, a genre widely practiced in Southern India. The intervention module involved note and tempo discrimination and was carried out for a maximum of 10 half-hour sessions. The multi-level intervention module was constructed and administered using Apex software. Following the intervention, the auditory processing and cognitive skills of the participants were reassessed to study any changes in their auditory processing and working memory skills.Results and discussionThere were positive changes observed in all the auditory processing and some of the working memory abilities. This paper discusses in detail the systematic structuring of the computerized music-based intervention module and its effects on the auditory processing and cognitive skills in older adults.

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“…Phase II: Assessment of binaural SIN ability SIN perception abilities was tested using phonemically bal-anced (PB) wordlist in Tamil [32] and Tamil Matrix Sentences Test (TMST) [33]. The words and sentences were mixed with Tamil multi-talker speech babble [34] using MATLAB version 2014b software (MathWorks, Natick, MA, USA) at SNRs of +5 dB, 0 dB, and -5 dB. Three lists of PB words (one list per SNR) with 25 words each were presented binaurally to the participants at an intensity level of 70 dB SPL.…”

Section: Phase I: Assessment Of Musical Ability and Working Memorymentioning

confidence: 99%

Musician-Advantage on Listening Effort for Speech in Noise Perception: A Dual-Task Paradigm Measure

Lavanya,

Rajaram,

Vaidyanath

et al. 2023

J Audiol Otol

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Background and Objectives: Speech in noise (SIN) perception is essential for effective day-to-day communication, as everyday conversations seldom transpire in silent environments. Numerous studies have documented how musical training can aid in SIN discrimination through various neural-pathways, such as experience-dependent plasticity and overlapping processes between music and speech perception. However, empirical evidence regarding the impact of musical training on SIN perception remains inconclusive. This study aimed to investigate whether musicians trained in South Indian classical “Carnatic” style of music exhibited a distinct advantage over their non-musician counterparts in SIN perception. The study also attempted to explore whether the listening effort (LE) associated in this process was different across musicians and non-musicians, an area that has received limited attention.Subjects and Methods: A quasi-experimental design was employed, involving two groups comprising 25 musicians and 35 non-musicians, aged 18-35 years, with normal hearing. In phase 1, participants’ musical abilities were assessed using the Mini-Profile of Music Perception Skills (Mini-PROMS). In phase 2, SIN abilities were tested using the Tamil phonemically balanced words and Tamil Matrix Sentence Test at -5 dB, 0 dB, and +5 dB SNR. Phase 3 tested LE using a dual-task paradigm including auditory and visual stimuli as primary and secondary tasks.Results: Fractional logit and linear regression models demonstrated that musicians outperformed non-musicians in the Mini-PROMS assessment. Musicians also fared better than non-musicians in SIN and LE at 0 dB SNR for words and +5 dB SNR for sentences.Conclusions: The findings of this study provided limited evidence to support the claim that musical training improves speech perception in noisy environments or reduces the associated listening effort.

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

Cited by 5 publications

References 19 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

Computerized music-based intervention module for auditory processing and working memory in older adults

Musician-Advantage on Listening Effort for Speech in Noise Perception: A Dual-Task Paradigm Measure

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