Experimental evidence on the syllabification of two-consonant clusters in Czech

Šturm, Pavel

doi:10.1016/j.wocn.2018.08.002

Cited by 3 publications

(2 citation statements)

References 42 publications

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“…Unlike in Czech, where the position of the syllable boundary may vary to some extent (Palková, 1997;Šturm, 2018), in Spanish there are precise rules governing this process; the main rule is the permission or restriction of a fixed combination of sounds within a syllable. (Quilis, 1993, pp.…”

Section: Gnomomentioning

confidence: 99%

Digital Humanities, Corpus and Language Technology: A look from diverse case studies

2023

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Digital Humanities, Corpus and Language Technology: A look from diverse case studies is an outstanding collection of research contributions that explores the intersection of technology and the humanities. The authors provide a comprehensive overview of how these technologies can enhance research across various disciplines, from literature to history to anthropology. This book is a mustread for anyone interested in future research in the humanities. Digital Humanities, Corpus, and Language Technologies are rapidly growing fields that have the potential to revolutionize research across various disciplines. New technologies have opened up new perspectives for research, allowing scientists to analyze data in previously impossible ways. The interdisciplinary approach and practical applications make it an invaluable resource for researchers, students, and anyone interested in the intersection of technology and the humanities.

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Section: Gnomomentioning

confidence: 99%

Digital Humanities, Corpus and Language Technology: A look from diverse case studies

2023

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“…Nouza et al [233] [315] worked on testing the behavior of phonotactic structures of the Czech language. Šturm [316] worked on Czech syllables. 174 disyllabic Czech words were used for the experiment from 30 speakers.…”

Section: Czechmentioning

confidence: 99%

Computational intelligence in processing of speech acoustics: a survey

Singh

Kaur

Kukreja

et al. 2022

Complex Intell. Syst.

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Speech recognition of a language is a key area in the field of pattern recognition. This paper presents a comprehensive survey on the speech recognition techniques for non-Indian and Indian languages, and compiled some of the computational models used for processing speech acoustics. An immense number of frameworks are available for speech processing and recognition for languages persisting around the globe. However, a limited number of automatic speech recognition systems are available for commercial use. The gap between the languages being spoken around the globe and the technical support available to these languages are very few. This paper examined major challenges for speech recognition for different languages. Analysis of the literature shows that lack of standard databases availability of minority languages hinder the research recognition research across the globe. When compared with non-Indian languages, the research on speech recognition of Indian languages (except Hindi) has not achieved the expected milestone yet. Combination of MFCC and DNN–HMM classifier is most commonly used system for developing ASR minority languages, whereas in some of the majority languages, researchers are using much advance algorithms of DNN. It has also been observed that the research in this field is quite thin and still more research needs to be carried out, particularly in the case of minority languages.

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Acoustic-Perceptual Factors Both Maintain and Account for the Rarity of the Czech Trill-Fricative

Howson

Monahan

2022

Front. Commun.

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Czech has a sibilant inventory that contrasts at three places of articulation: Alveolar, a pre-post-alveolar, and palato-alveolar. The specific aim of this study is to examine the perception of the typologically rare Czech sibilant inventory and to determine whether acoustic-perceptual characteristics play a role in the maintenance of the Czech trill-fricative. These results are compared to a more common three-way sibilant inventory, Polish. Native Czech listeners performed an auditory AX discrimination task in two blocks: A Czech block and a Polish block. Stimuli were embedded in varying levels of noise to increase task difficulty. Signal-to-noise ratio differences affected the perception of the Czech sibilants more than Polish sibilants. Moreover, a multidimensional scaling analysis revealed less perceptual dispersion for the Czech inventory than the Polish inventory. These results suggest that there is greater difficulty maintaining the Czech inventory considering the signal-to-noise comparisons and that this a factor that contributes to its rarity; however, similarities in perceptual dispersion indicate that maintenance across several acoustic-perceptual cues is possible, and Czech shows few signs of losing this typologically rare contrast.

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Experimental evidence on the syllabification of two-consonant clusters in Czech

Cited by 3 publications

References 42 publications

Digital Humanities, Corpus and Language Technology: A look from diverse case studies

Digital Humanities, Corpus and Language Technology: A look from diverse case studies

Computational intelligence in processing of speech acoustics: a survey

Acoustic-Perceptual Factors Both Maintain and Account for the Rarity of the Czech Trill-Fricative

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