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388
Hits 41 – 60 of 7.746
41
Du groupe à l'individu, du corpus à l'expérimentation, du spectrogramme au deep learning pour la phonétique
Ferragne, Emmanuel
. - : HAL CCSD, 2021
In: https://hal.archives-ouvertes.fr/tel-03283447 ; Linguistique. Aix-Marseille Université, 2021 (2021)
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42
Phonetics and Phonology of Gua
Obiri-Yeboah, Michael
. - : eScholarship, University of California, 2021
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43
Non-moraicity and weight augmentation in Shiwilu (Kawapanan)
Vasquez, Alonso
. - : eScholarship, University of California, 2021
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44
Issues in Uyghur backness harmony: Corpus, experimental, and computational studies
Mayer, Connor
. - : eScholarship, University of California, 2021
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45
Synchronic Fortition in Five Romance Languages? A Large Corpus-Based Study of Word-Initial Devoicing
Hutin, Mathilde
;
Wu, Yaru
;
Jatteau, Adèle
...
In: Proceedings of Interspeech ; Interspeech 2021 ; https://hal.sorbonne-universite.fr/hal-03339852 ; Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.996-1000, ⟨10.21437/Interspeech.2021-939⟩ (2021)
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46
Korean laryngeal contrast revisited: An electroglottographic study on denasalized and oral stops
Gao, Jiayin
;
Yun, Jihyeon
;
Arai, Takayuki
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 7 ; 1868-6354 (2021)
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47
Perceptual vowel contrast reduction in Australian English /l/-final rimes
Szalay, Tünde
;
Benders, Titia
;
Cox, Felicity
...
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 9 ; 1868-6354 (2021)
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48
Exploring the nature of cumulativity in sound symbolism: Experimental studies of Pokémonastics with English speakers
Kawahara, Shigeto
;
Breiss, Canaan
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 3 ; 1868-6354 (2021)
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49
Tapping into linguistic rhythm
Rathcke, Tamara
;
Lin, Chia-Yuan
;
Falk, Simone
...
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 11 ; 1868-6354 (2021)
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50
Acquiring an L2 sociophonological feature:The perception and production of rhoticity by Chinese learners of English
Li, Z.
(Zeyu). - 2021
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51
L2 prosodic variation: The effect of L1 typology on L2 question intonation
Cordova, Phoebe
In: Student Research Symposium (2021)
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52
La pronunciación del latín en la América dieciochesca: el caso de la Audiencia de Guatemala ...
Luengo, José Luis Ramírez
. - : Zenodo, 2021
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53
La pronunciación del latín en la América dieciochesca: el caso de la Audiencia de Guatemala ...
Luengo, José Luis Ramírez
. - : Zenodo, 2021
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54
19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 2 ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
. - : Underline Science Inc., 2021
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55
18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 1 ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
. - : Underline Science Inc., 2021
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56
SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
43rd Annual Meeting of the Cognitive Science Society 2021
;
Braasch, Jonas
;
Si, Mei
. - : Underline Science Inc., 2021
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57
SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
43rd Annual Meeting of the Cognitive Science Society 2021
;
Braasch, Jonas
;
Si, Mei
;
Tyler, Jeramey
. - : Underline Science Inc., 2021
Abstract:
The primary goals of computer-assisted pronunciation training (CAPT) systems are to provide a personalized interactive environment and to accurately diagnose mispronunciations. Automatic speech recognition (ASR) systems have been shown to be an effective tool for diagnosing mispronunciations. While the data ASR systems output can be difficult for the layperson to understand, presenting it in a multimodal fashion can make it easier and feeding it into an automated narrative system can produce personalized feedback. In the absence of native speech examples, synthetic examples produced by text-to-speech (TTS) engines have proven to be an adequate substitute, making data collection easier and allowing for larger CAPT systems. In this work we present the SpeakEasy pronunciation trainer, a CAPT system that leverages ASR, TTS, automated narrative systems, and multimodal data representation to provide a personalized interactive environment that tracks a user's progress over time. ...
Keyword:
Cognitive Linguistics
;
Cognitive Science
;
Computational Intelligence
;
Computational Linguistics
;
E-Learning
;
Phonetics
;
Phonology
;
Semantics
URL:
https://dx.doi.org/10.48448/ermn-7636
https://underline.io/lecture/26896-speakeasy-pronunciation-trainer-personalized-multimodal-pronunciation-training
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58
Phonetic variation reveals variation in phonological planning scope ...
Kilbourn-Ceron, Oriana
. - : Open Science Framework, 2021
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59
Categoriality and continuity in prosodic prominence ...
Roessig, Simon
. - : Freie Universität Berlin, 2021
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60
Replication of Kurumada et al (2017) Experiment 2 ...
Clapp, William
. - : Open Science Framework, 2021
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