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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
Tabain, M; Breen, G; Butcher, Andrew Richard. - : Ubiquity Press, 2016
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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
Abstract: In this thesis, we present a technique for bandwidth extension (BWE) of a narrow-band (0 - 4 kHz) signal using articulatory features. The proposed technique recovers high-band components (4 - 8 kHz) through Gaussian mixture regression (GMR) on both the acoustic and articulatory features from the X-ray Microbeam (XRMB) speech production database. The Gaussian mixture model (GMM) that is based on acoustic and articulatory features is initialized using k-means and iteratively trained using the expectation-maximization (EM) algorithm. BWE experiments were run using data files from different speakers in the XRMB database as train and test data. Time-frequency plots of speech recovered by different training methods are presented in order to show that articulatory trajectories are helpful in characterizing high-frequencied consonants in speech. Finally, we confirm our hypothesis that using GMM with articulation gives better recovery rate is true by performing Student’s t-test on SNR data between original and recovered speech.
Keyword: articulatory features; speech bandwidth extension; speech processing
URL: http://hdl.handle.net/2142/46538
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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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