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1
Domain-Adversarial Based Model with Phonological Knowledge for Cross-Lingual Speech Recognition
In: Electronics; Volume 10; Issue 24; Pages: 3172 (2021)
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2
MISPRONUNCIATION DETECTION AND DIAGNOSIS IN MANDARIN ACCENTED ENGLISH SPEECH
In: Theses and Dissertations--Electrical and Computer Engineering (2020)
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3
Articulation modelling of vowels in dysarthric and non-dysarthric speech
Albalkhi, Rahaf. - 2020
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4
The Vowel System of Korebaju
In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02420035 ; INTERSPEECH 2019, Sep 2019, Graz, Austria. ⟨10.21437/Interspeech.2019-3210⟩ ; https://www.interspeech2019.org/ (2019)
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5
The effects of L1 AP-initial boundary tones and laryngeal features in Korean adaptation of Japanese plosives followed by a H or L vowel
In: Glossa: a journal of general linguistics; Vol 4, No 1 (2019); 49 ; 2397-1835 (2019)
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6
Articulatory representations to address acoustic variability in speech ...
Sivaraman, Ganesh. - : Digital Repository at the University of Maryland, 2017
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7
Articulatory representations to address acoustic variability in speech
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8
Stress Effects on Stop Bursts in Five Languages
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 7, No 1 (2016); 16 ; 1868-6354 (2016)
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9
Stress Effects on Stop Bursts in Five Languages
Abstract: This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. ; This study examines the effects of stress on the stop burst in five languages differing in number of places of articulation, as reflected in burst duration, spectral centre of gravity, and ­spectral standard deviation. The languages studied are English (three places of articulation /p t k/), the Indonesian language Makasar (four places /p t c k/), and the Central Australian languages ­Pitjantjatjara, Warlpiri (both five places /p t ʈ c k/), and Arrernte (six places /p t̪ t ʈ c k/). We find that languages differ in how they manifest stress on the consonant, with Makasar not ­showing any effect of stress at all, and Warlpiri showing an effect on burst duration, but not on the ­spectral measures. For the other languages, the velar /k/ has a “darker” quality (i.e., lower spectral centre of gravity), and/or a less diffuse spectrum (i.e., lower standard deviation) under stress; while the alveolar /t/ has a “lighter” quality under stress. In addition, the dental /t̪/ has a more diffuse spectrum under stress. We suggest that this involves enhancement of the features [grave] and [diffuse] under stress, with velars being [+grave] and [–diffuse], alveolars being [–grave], and dentals being [+diffuse]. We discuss the various possible spectral effects of enhancement of these features. Finally, in the languages with five or six places of articulation, the stop burst is longer only for the palatal /c/ and the velar /k/, which have intrinsically long burst durations, and not for the anterior coronals /t̪ t ʈ/, which have intrinsically short burst durations. We suggest that in these systems, [burst duration] is a feature that separates these two groups of consonants.
Keyword: acoustic features; articulatory prosody; Australian languages; Indonesian languages; stop bursts
URL: http://hdl.handle.net/2328/37256
https://doi.org/10.5334/labphon.38
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10
Exceptional nasal-stop inventories
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11
Exceptional nasal-stop inventories ; Inventaris excepcionals d’oclusives nasals
In: Catalan Journal of Linguistics; Vol. 15 (2016): Les excepcions en fonologia; p. 67-100 (2016)
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12
Place oppositions in English coronal obstruents: an ultrasound study
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13
Palate-referenced Articulatory Features for Acoustic-to-Articulator Inversion
In: Speech Pathology and Audiology Faculty Research and Publications (2014)
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14
An Emergent Approach to the Guttural Natural Class
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2013 Annual Meeting on Phonology ; 2377-3324 (2014)
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15
Multiview feature learning for speech recognition
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16
Speech Bandwidth Extension Using Articulatory Features
Shin, Dongeek. - 2011
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17
Cross-lingual automatic speech recognition using tandem features
Lal, Partha. - : The University of Edinburgh, 2011
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18
Perception of initial obstruent voicing is influenced by gestural organization
In: ISSN: 0095-4470 ; EISSN: 1095-8576 ; Journal of Phonetics ; https://halshs.archives-ouvertes.fr/halshs-00683110 ; Journal of Phonetics, Elsevier, 2010, 38, pp.109-126 (2010)
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19
Statistical Mapping between Articulatory Movements and Acoustic Spectrum Using a Gaussian Mixture Model
In: http://spalab.naist.jp/~tomoki/Tomoki/Journals/SPECOM-Mar-2008_ArtSpMap.pdf (2007)
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20
Multilingual Articulatory Features for Speech Recognition
In: http://rave.ohiolink.edu/etdc/view?acc_num=wright1176169264 (2007)
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