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Relevant bibliographies by topics / Articulatory data

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Journal articles

Academic literature on the topic 'Articulatory data'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Articulatory data"

1

Silva, Samuel, Nuno Almeida, Conceição Cunha, Arun Joseph, Jens Frahm, and António Teixeira. "Data-Driven Critical Tract Variable Determination for European Portuguese." Information 11, no. 10 (2020): 491. http://dx.doi.org/10.3390/info11100491.

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Technologies, such as real-time magnetic resonance (RT-MRI), can provide valuable information to evolve our understanding of the static and dynamic aspects of speech by contributing to the determination of which articulators are essential (critical) in producing specific sounds and how (gestures). While a visual analysis and comparison of imaging data or vocal tract profiles can already provide relevant findings, the sheer amount of available data demands and can strongly profit from unsupervised data-driven approaches. Recent work, in this regard, has asserted the possibility of determining c

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2

Abirami, S., L. Anirudh, and P. Vijayalakshmi. "Silent Speech Interface: An Inversion Problem." Journal of Physics: Conference Series 2318, no. 1 (2022): 012008. http://dx.doi.org/10.1088/1742-6596/2318/1/012008.

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Abstract When conventional acoustic-verbal communication is neither possible or desirable, silent speech interfaces (SSI) rely on biosignals, non-acoustic signals created by the human body during speech production, to facilitate communication. Despite considerable advances in sensing techniques that can be employed to capture these biosignals, majority of them are used under controlled scenarios in laboratories. One such example is Electromagnetic Articulograph (EMA), which monitors articulatory motion. It is expensive with inconvenient wiring and practically not portable in real world. Since

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3

Browman, Catherine P., and Louis Goldstein. "Articulatory gestures as phonological units." Phonology 6, no. 2 (1989): 201–51. http://dx.doi.org/10.1017/s0952675700001019.

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We have argued that dynamically defined articulatory gestures are the appropriate units to serve as the atoms of phonological representation. Gestures are a natural unit, not only because they involve task-oriented movements of the articulators, but because they arguably emerge as prelinguistic discrete units of action in infants. The use of gestures, rather than constellations of gestures as in Root nodes, as basic units of description makes it possible to characterise a variety of language patterns in which gestural organisation varies. Such patterns range from the misorderings of disordered

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4

Wang, Jun, Jordan R. Green, Ashok Samal, and Yana Yunusova. "Articulatory Distinctiveness of Vowels and Consonants: A Data-Driven Approach." Journal of Speech, Language, and Hearing Research 56, no. 5 (2013): 1539–51. http://dx.doi.org/10.1044/1092-4388(2013/12-0030).

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Purpose To quantify the articulatory distinctiveness of 8 major English vowels and 11 English consonants based on tongue and lip movement time series data using a data-driven approach. Method Tongue and lip movements of 8 vowels and 11 consonants from 10 healthy talkers were collected. First, classification accuracies were obtained using 2 complementary approaches: (a) Procrustes analysis and (b) a support vector machine. Procrustes distance was then used to measure the articulatory distinctiveness among vowels and consonants. Finally, the distance (distinctiveness) matrices of different vowel

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5

Kuruvilla-Dugdale, Mili, and Antje S. Mefferd. "Articulatory Performance in Dysarthria: Using a Data-Driven Approach to Estimate Articulatory Demands and Deficits." Brain Sciences 12, no. 10 (2022): 1409. http://dx.doi.org/10.3390/brainsci12101409.

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This study pursued two goals: (1) to establish range of motion (ROM) demand tiers (i.e., low, moderate, high) specific to the jaw (J), lower lip (LL), posterior tongue (PT), and anterior tongue (AT) for multisyllabic words based on the articulatory performance of neurotypical talkers and (2) to identify demand- and disease-specific articulatory performance characteristics in talkers with amyotrophic lateral sclerosis (ALS) and Parkinson’s disease (PD). J, LL, PT, and AT movements of 12 talkers with ALS, 12 talkers with PD, and 12 controls were recorded using electromagnetic articulography. Ver

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6

M., Dhanalakshmi, Nagarajan T., and Vijayalakshmi P. "Significant sensors and parameters in assessment of dysarthric speech." Sensor Review 41, no. 3 (2021): 271–86. http://dx.doi.org/10.1108/sr-01-2021-0004.

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Purpose Dysarthria is a neuromotor speech disorder caused by neuromuscular disturbances that affect one or more articulators resulting in unintelligible speech. Though inter-phoneme articulatory variations are well captured by formant frequency-based acoustic features, these variations are expected to be much higher for dysarthric speakers than normal. These substantial variations can be well captured by placing sensors in appropriate articulatory position. This study focuses to determine a set of articulatory sensors and parameters in order to assess articulatory dysfunctions in dysarthric sp

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7

Byrd, Dani, Edward Flemming, Carl Andrew Mueller, and Cheng Cheng Tan. "Using Regions and Indices in EPG Data Reduction." Journal of Speech, Language, and Hearing Research 38, no. 4 (1995): 821–27. http://dx.doi.org/10.1044/jshr.3804.821.

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This note describes how dynamic electropalatography (EPG) can be used for the acquisition and analysis of articulatory data. Various data reduction procedures developed to analyze the electropalatographic data are reported. Specifically, these procedures concern two interesting areas in EPG data analysis—first, the novel use of speaker-specific articulatory regions and second, the development of arithmetic indices to quantify time-varying articulatory behavior and reflect reduction and coarticulation.

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8

Lee, Jimin, Michael Bell, and Zachary Simmons. "Articulatory Kinematic Characteristics Across the Dysarthria Severity Spectrum in Individuals With Amyotrophic Lateral Sclerosis." American Journal of Speech-Language Pathology 27, no. 1 (2018): 258–69. http://dx.doi.org/10.1044/2017_ajslp-16-0230.

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Purpose The current study investigated whether articulatory kinematic patterns can be extrapolated across the spectrum of dysarthria severity in individuals with amyotrophic lateral sclerosis (ALS). Method Temporal and spatial articulatory kinematic data were collected using electromagnetic articulography from 14 individuals with dysarthria secondary to ALS and 6 typically aging speakers. Speech intelligibility and speaking rate were used as indices of severity. Results Temporal measures (duration, speed of articulators) were significantly correlated with both indices of severity. In speakers

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9

Stevens, Kenneth N. "Inferring articulatory movements from acoustic data." Journal of the Acoustical Society of America 93, no. 4 (1993): 2416. http://dx.doi.org/10.1121/1.405910.

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10

Baum, Shari R., David H. McFarland, and Mai Diab. "Compensation to articulatory perturbation: Perceptual data." Journal of the Acoustical Society of America 99, no. 6 (1996): 3791–94. http://dx.doi.org/10.1121/1.414996.

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