Estimation of stops' spectral place cues using multitaper techniques

Lousada, Marisa; Jesus, Luís M. T.; Pape, Daniel

doi:10.1590/s0102-44502012000100001

Cited by 11 publications

(13 citation statements)

References 22 publications

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“…A Matlab script was used to compute multitaper spectra for each interval, then extract the first four spectral moments (centroid, slope, skewness, and kurtosis) at the midpoint of each interval. Multitaper analysis is reported to provide more accurate estimates than conventional methods of spectral analysis (Lousada, Jesus, & Pape, 2012). …”

Section: Methodsmentioning

confidence: 99%

Covert contrast in velar fronting: An acoustic and ultrasound study

Byun

Buchwald

Mizoguchi

2015

Clinical Linguistics & Phonetics

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There is growing evidence that speech sound acquisition is a gradual process, with instrumental measures frequently revealing covert contrast in errors perceived to involve phonemic substitution. Ultrasound imaging has the potential to expand our understanding of covert contrast by showing whether a child uses different tongue shapes while producing sounds that are perceived as neutralized. This study used an ultrasound measure (Dorsum Excursion Index) and acoustic measures (VOT and spectral moments of the burst) to investigate overt and covert contrast between velar and alveolar stops in child speech. Participants were two children who produced a perceptually overt velar-alveolar contrast and two children who neutralized the contrast via velar fronting. Both acoustic and ultrasound measures revealed significant differences between perceptually distinct velar and alveolar targets. One child with velar fronting demonstrated covert contrast in one acoustic and one ultrasound measure; the other showed no evidence of contrast. Clinical implications are discussed.

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Section: Methodsmentioning

confidence: 99%

Covert contrast in velar fronting: An acoustic and ultrasound study

Byun

Buchwald

Mizoguchi

2015

Clinical Linguistics & Phonetics

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“…Multitaper spectra was also calculated using an 11 ms window centred at the middle of each fricative and left aligned at the beginning of each stop release (Lousada, Jesus, & Pape, 2012;Zygis, Pape, & Jesus, 2012). We estimated the power spectral density (PSD) via the Thom- 2.…”

Section: Corpus 34 Annotation and Acoustic Analysismentioning

confidence: 99%

Speech Production in Two Occlusal Classes

Jesus

Araújo²,

Costa³

2014

Onomázein

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ONOMÁZEIN 29 (junio de 2014): 129 -151 Luis M. T. Jesus, André Araújo e Isabel M. Costa Speech Production in Two Occlusal Classes 130Background: The influence of the occlusal class in speech production has been studied using the X-ray Microbeam Speech Production Database (XRMB-SPD).Objectives/aims: This study aimed to relate the occlusal classes I and II with speech production adaptations.Methods: The Modified A-Space method was used to select 4 speakers (1 male and 1 female class I, 1 male and 1 female class II). Articulatory and acoustic features of the vowels were studied using different tasks and methods. The articulatory and acoustic features of consonants in male and female speakers of class I and class II from the XRMB-SPD were also described in detail. Measures extracted from multitaper spectra and articulatory data were used, to observe individual differences related with gender and dental occlusion.Results: Results showed some structural differences related to occlusal class and variance in class II subjects' structures and articulatory adaptations. However, subjects showed a high adaptation capacity, being able to adjust their articulations to produce all vowels.Conclusions: Speech production variability is related with orofacial structures' variance. Different structures produce various functional adaptations and distinct speech signals.

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“…These measures were typically based on discrete Fourier transforms. More recently, multitaper spectra were recommended as better suited for stochastic parts of speech, as they reduce the bias of spectral estimates when calculated over short intervals (Lousada et al 2012, Zygis et al 2012, Koenig et al 2013. Spectral moment analysis has been used successfully for classifying stops (Forrest et al 1988(Forrest et al , 1990(Forrest et al , 1994) and, while not as successful with fricatives in certain studies Mair 1996, Zygis et al 2012), in others it provided reliable measures associated with categories such as fricative place of articulation, and proved to be more invariant for speaker and vowel context than other measures (Flipsen et al 1999, Jongman et al 2000 They concluded that there is no invariance in the acoustic signal, and as a result speech categorization by listeners requires massive cue-integration as well as compensatory mechanisms able to handle contextual influences.…”

Section: Introductionmentioning

confidence: 99%

A comparison of cepstral coefficients and spectral moments in the classification of Romanian fricatives

Spinu

Lilley²

2016

Journal of Phonetics

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In this paper we explore two methods for the classification of fricatives. First, for the coding of the speech, we compared two sets of acoustic measures obtained from a corpus of Romanian fricatives: (a) spectral moments, and (b) cepstral coefficients. Second, we compared two methods of determining the regions of the segments from which the measures would be extracted. In the first method, the phonetic segments were divided into three regions of approximately equal duration. In the second method, Hidden Markov Models (HMMs) were used to divide each segment into three regions such that the variances of the measures within each region were minimized. The corpus we analyzed consists of 3,674 plain and palatalized word-final fricatives from four places of articulation, produced by 31 native speakers of Romanian (20 females). We used logistic regression to classify fricatives by place, voicing, palatalization status, and gender. We found that cepstral coefficients reliably outperformed spectral moments in all classification tasks, and that using regions determined by HMM yielded slightly higher correct classification rates than using regions of equal duration.

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Estimation of stops' spectral place cues using multitaper techniques

Abstract: This study focuses on the spectral characteristics of the European Portuguese stops

Cited by 11 publications

References 22 publications

Covert contrast in velar fronting: An acoustic and ultrasound study

Covert contrast in velar fronting: An acoustic and ultrasound study

Speech Production in Two Occlusal Classes

A comparison of cepstral coefficients and spectral moments in the classification of Romanian fricatives

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