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1
Influence of L1 prominence on L2 production: French and German speakers
In: Speech Prosody 2016 ; https://hal.inria.fr/hal-01399974 ; Speech Prosody 2016, May 2016, Boston, United States. pp.370 - 374, ⟨10.21437/SpeechProsody.2016-76⟩ ; http://sites.bu.edu/speechprosody2016/ (2016)
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2
Pitch-interval analysis of 'periodic' and 'aperiodic' Question+Answer pairs
In: Speech Prosody 2016 ; https://hal.univ-lorraine.fr/hal-02997874 ; Speech Prosody 2016, May 2016, Boston, United States. pp.1071 - 1075, ⟨10.21437/speechprosody.2016-220⟩ (2016)
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3
L1-L2 Interference: The case of final devoicing of French voiced fricatives in final position by German learners
In: Interspeech 2016 ; https://hal.inria.fr/hal-01397176 ; Interspeech 2016, Sep 2016, San Francisco, United States. pp.3156 - 3160, ⟨10.21437/Interspeech.2016-954⟩ (2016)
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4
Naïve listeners' perception of prominence and boundary in French spontaneous speech
In: Speech Prosody ; https://hal.archives-ouvertes.fr/hal-01462259 ; Speech Prosody, May 2016, Boston, United States (2016)
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5
Phonetic Context Embeddings for DNN-HMM Phone Recognition
In: Interspeech 2016 ; https://hal.sorbonne-universite.fr/hal-02166078 ; Interspeech 2016, Sep 2016, SAN FRANCISCO, United States. pp.405-409, ⟨10.21437/Interspeech.2016-1036⟩ (2016)
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6
A glottal chink model for the synthesis of voiced fricatives
In: International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-01314308 ; International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Mar 2016, Shanghai, China ; http://www.icassp2016.org/ (2016)
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7
Cross Entropy-based Automatic Thresholds Setting-Up Method for Sleep Staging System
In: IEEE BioCAS 2016 ; https://hal.inria.fr/hal-01419354 ; IEEE BioCAS 2016, Oct 2016, Shanghai, China (2016)
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8
Perception of prosodic transformation for Japanese social affects
In: Speech Prosody ; https://hal.archives-ouvertes.fr/hal-01392309 ; Speech Prosody, May 2016, Boston, United States. pp.989 - 993, ⟨10.21437/SpeechProsody.2016-203⟩ (2016)
Abstract: International audience ; This paper is about the perception of 'genuine' social affects versus 'synthetic' ones. Our ultimate aim is to create a software for self-teaching language learning that includes a tool where learners will be able to hear their own voice producing the social affect correctly. Towards this goal, we study here how we can construct synthetic stimuli using neutral voices and prosodic parameters , and if such stimuli can be well enough recognized by native listeners. At first, we explain how our corpus is built around contextual scenarios and the recording protocol. Then, we explain how the synthetic stimuli are constructed. These stimuli must comply with several constraints: keeping the original speaker identity, preserving the linguistic content, and of course having the best possible quality. Results from a perception experiment with native speakers of Japanese show that the social affects for natural stimuli are quite well recognized although the results show more variation on the synthetic stimuli, depending on the considered social affect. Some social affects may indeed be expressed quite subtly so that they are difficult to synthesize. An investigation based on statistical analysis is proposed showing where the main difficulties lie.
Keyword: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; affective prosody; attitudes characterization; Index Terms: speech processing
URL: https://hal.archives-ouvertes.fr/hal-01392309
https://hal.archives-ouvertes.fr/hal-01392309/document
https://doi.org/10.21437/SpeechProsody.2016-203
https://hal.archives-ouvertes.fr/hal-01392309/file/article.pdf
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9
The pragmatic functions of the final particle eh and of High Rising Terminals in Canadian English: quite similar, eh !
In: International Conference on Speech Prosody ; https://hal.archives-ouvertes.fr/hal-01462239 ; International Conference on Speech Prosody, May 2016, Boston, Unknown Region. ⟨10.21437/SpeechProsody.2016-180⟩ (2016)
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