Frequency importance function for monosyllables in Malayalam

Narne, Vijaya Kumar; Prabhu, Prashanth; Thuvassery, Priyanka; Ramachandran, Resmitha; Kumar, Akriti; Raveendran, Revathi; Gafoor, Shezeen Abdul

doi:10.1080/21695717.2016.1215874

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…It is also known that acoustic and linguistic characteristics of a language have a bearing on LTASS and DR. Thus, the SII [5,6] as well as optimal gain and compression required for hearing aids can be language dependent [7][8][9]. Unfortunately, not many studies have been conducted to estimate LTASS and DR for Indian languages, which are spoken by over1.3 billion people.…”

Section: Introductionmentioning

confidence: 99%

Cross-language comparison of long-term average speech spectrum and dynamic range for three Indian languages and British English

Narne¹,

Tiwari²

2021

Clin Arch Commun Disord

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Purpose: The Long-Term Average Speech Spectrum (LTASS) and Dynamic Range (DR) of speech strongly influence estimates of Speech Intelligibility Index (SII), gain and compression required for hearing aid fitting. It is also known that acoustic and linguistic characteristics of a language have a bearing on its LTASS and DR. Thus, there is a need to estimate LTASS and DR for Indian languages. The present work on three Indian languages fills this gap and contrasts LTASS and DR attributes of these languages against British English.Methods: For this purpose, LTASS and DR were measured for 21 one-third octave bands in the frequency range of 0.1 to 10 kHz for Hindi, Kannada, Indian English and British English.Results: Our work shows that the DR of Indian languages studied is 7-10 dB less relative to that of British English. We also report that LTASS levels for Indian languages are 7 dB lower relative to British English for frequencies above 1 kHz. Finally, we observed that LTASS and DR attributes across genders were more or less the same.Conclusions: Given the evidence presented in this work that LTASS and DR characteristics for Indian languages analyzed are markedly different than those for BE, there is a need to determine Indian language specific SII, as well as gain and compression parameters used in hearing aids.

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Section: Introductionmentioning

confidence: 99%

Cross-language comparison of long-term average speech spectrum and dynamic range for three Indian languages and British English

Narne¹,

Tiwari²

2021

Clin Arch Commun Disord

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“…The phonemes are more nasalized and therefore contain more low-frequency energy [ 21 ]. Narne, et al [ 22 ] found that Malayalam has more perceptual weightage for low frequencies compared to English and have attributed the findings to the inherent phonetic differences and use of more nasalized speech. The greater allophonic variations and predominant low-frequency energy suggest that the vowel context effect would be different in Malayalam compared to other languages.…”

Section: Introductionmentioning

confidence: 99%

Vowel Context Effect on the Perception of Stop Consonants in Malayalam and Its Role in Determining Syllable Frequency

Mohan

Maruthy²

2021

J Audiol Otol

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Background and Objectives:The study investigated vowel context effects on the perception of stop consonants in Malayalam. It also probed into the role of vowel context effects in determining the frequency of occurrence of various consonant-vowel (CV) syllables in Malayalam. Subjects and Methods: The study used a cross-sectional pre-experimental post-test only research design on 30 individuals with normal hearing, who were native speakers of Malayalam. The stimuli included three stop consonants, each spoken in three different vowel contexts. The resultant nine syllables were presented in original form and five gating conditions. The consonant recognition in different vowel contexts of the participants was assessed. The frequency of occurrence of the nine target syllables in the spoken corpus of Malayalam was also systematically derived. Results: The consonant recognition score was better in the /u/ vowel context compared with /i/ and /a/ contexts. The frequency of occurrence of the target syllables derived from the spoken corpus of Malayalam showed that the three stop consonants occurred more frequently with the vowel /a/ compared with /u/ and /i/. Conclusions: The findings show a definite vowel context effect on the perception of the Malayalam stop consonants. This context effect observed is different from that in other languages. Stop consonants are perceived better in the context of /u/ compared with the /a/ and /i/ contexts. Furthermore, the vowel context effects do not appear to determine the frequency of occurrence of different CV syllables in Malayalam.

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“…A number of researchers have suggested the necessity of developing language-specific SII models to better account for the differences in acoustic properties and phoneme distribution across languages (e.g., Wong et al, 2007a;Jin et al, 2017). Consequently, language-specific SII models have been developed for several languages (Wong et al, 2007a;Lee and Kim, 2012;Kuo, 2013;Chen et al, 2016;Jin et al, 2016;Narne et al, 2016). Moreover, the effect of test material on the BIF and transfer function of the SII model has been extended to other languages.…”

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confidence: 99%

The effect of speech material on the band importance function for Mandarin Chinese

Shen

et al. 2019

The Journal of the Acoustical Society of America

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Speech material influences the relative contributions of different frequency regions to intelligibility for English. In the current study, whether a similar effect of speech material is present for Mandarin Chinese was investigated. Speech recognition was measured using three speech materials in Mandarin, including disyllabic words, nonsense sentences, and meaningful sentences. These materials differed from one another in terms of the amount of contextual information and word frequency. The band importance function (BIF), as defined under the Speech Intelligibility Index (SII) framework, was used to quantify the contributions across frequency regions. The BIFs for the three speech materials were estimated from 16 adults who were native speakers of Mandarin. A Bayesian adaptive procedure was used to efficiently estimate the octave-frequency BIFs for the three materials for each listener. As the amount of contextual information increased, low-frequency bands (e.g., 250 and 500 Hz) became more important for speech recognition, consistent with English. The BIF was flatter for Mandarin than for comparable English speech materials. Introducing the language-and material-specific BIFs to the SII model led to improved predictions of Mandarin speech-recognition performance. Results suggested the necessity of developing material-specific BIFs for Mandarin. V

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Frequency importance function for monosyllables in Malayalam

Cited by 7 publications

References 18 publications

Cross-language comparison of long-term average speech spectrum and dynamic range for three Indian languages and British English

Cross-language comparison of long-term average speech spectrum and dynamic range for three Indian languages and British English

Vowel Context Effect on the Perception of Stop Consonants in Malayalam and Its Role in Determining Syllable Frequency

The effect of speech material on the band importance function for Mandarin Chinese

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