1 / 19

Content

VoiceUNL : a proposal to represent speech control mechanisms within the Universal Networking Digital Language Mutsuko Tomokiyo (GETA-CLIPS-IMAG) & Gérard Chollet (ENST) reviewed by Christian Boitet (GETA-CLIPS-IMAG). Content. Background of this work

britain
Download Presentation

Content

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. VoiceUNL : a proposal to represent speech control mechanisms within the Universal Networking Digital LanguageMutsuko Tomokiyo (GETA-CLIPS-IMAG) &Gérard Chollet (ENST)reviewed by Christian Boitet (GETA-CLIPS-IMAG)

  2. Content • Background of this work • Proposal of extension of UNL - Speech to speech MT • Emotion representation

  3. Background • Normalangue - normalization of linguistic resources (2002) TECHNOVOCand RNIL (2002) - normalization of technologies applied in the domain of the engineering of written and spoken language, SIEMENS, TELISMA, IDYLIC, DIALOCA, ELAN Speech, ST Microelectronics, LORIA, ENST Paris • Lingtour (2002) - multilingual-multimedia MT , TsingHua University (China), Paris 8 University (France), INT (France), ENST-Paris and Bretagne (France) and CLIPS (France)

  4. Extension of UNL (1) Example : - May I smoke? - No! You may not, Victor . [S:01] {org:e1} - May I smoke? {/org} {unl} agt(smoke(icl>do).@entry.@present.@may.@interrogative, I) {/unl} [/S] [1]

  5. Extension of UNL (2) [S:02] {org:e2} - No! you may not, Victor [arte] {/org} {unl} agt(smoke(icl>do).@entry.@present.@may.@not, you) mod(smoke(icl>do).@entry.@present.@may.@not, no) mod(no, !(icl>symbol).@interjection) mod(smoke(icl>do).@entry.@present.@may.@not, Victor(icl>name).@vocative) {/unl} [/S]

  6. Speech to Speech Machine Translation (SSMT) 5. Voice, speech, gestures synthesis 1. Speaker recognition 2. Gestures, facial movement and speech recognition 4. Target language generation (Ariane-G5) 3. Transcription and text transfer (UNL) [Furui,03,Blanchon,02]

  7. Emotion representation (1) Classification of emotions : (1) happiness, (2) sadness, (3) disgust, (4) surprise, (5) fear, (6) anger, (7) irritation, (8) hesitation, (9) uncertainty, (10) neutral [morita,89; Ekman,79, 03; OOC,90; ESPIRE, 00]

  8. Emotion representation (2) Emotion eliciting factors and task facets in SSMT: • lexicon (sad, happy, etc) • phatics (ah, hein, etc.) • prosodies (fast, slow, strong, etc.) • voice (noisy, soft, young, etc.) • gestures (movements of hands, mouth, eyes, etc.)

  9. Emotion representation (3) 1 2 3 4 5 6 7 8 9 10 lexicon *** * * * * * * * phatics *** * * * * * * * prosodies *** * * * * * * voice *** * * * * * hands * * mouth * eyes*** * * * eyebrows ** ** head * shoulders** *

  10. Emotion representation (4) Speaker recognition and voice synthesis : • gender, • age, • Variant (natural, artificial, etc.), • voice name (high-pitched, husky, etc.) [BMC,02; W3C rec, 02]

  11. Emotion representation (5) Prosody : • Pitch : x-high, high, medium, low, x-low, default • Range, • Rate : x-fast, fast, medium, slow, x-slow, default • Duration, • Volume : silent, x-soft, soft, medium, loud, x-loud, default • Emphasis, • Break [BMC,02; W3C rec.,02]

  12. Emotion representation (6) Lexicon and Speech acts : Inform, Offer, Offer-follow-up, Promise, Yn-question, Action-request, Confirmation-question, Do-you-understand-question, Permission-request, Wh-question, Yes, No, Acknowledge, Thanks, Thanks-response, Farewell, Good-wishes, Good-wishes-response, Greet, Apology, Apology-response, Alert, Instruct, Confirmation-question-to-self, Invite, Vocative, Topic, Expressive [tomokiyo, 00]

  13. Emotion representation (7) Facial movements : left, right, up, down • mouth • eyes • eyebrows Body movements : left, right, up, down • hands • shoulder • heads [ACE, 02; BMC, 02; MPEG-4, 00]

  14. Emotion representation(1)

  15. <?xml version="1.0" encoding="iso-8859-1 ?> <!--<?xml-stylesheettype="text/xsl" href="newshow2.xsl"?>   --> <!-- XML for TV --> <!DOCTYPE D (View Source for full doctype...)> <D dn=" TV " on="TV. 1.2" dt="2003"> <Paragraph number="1"> <Sentence :snumber="1">   <org lang="el"> May I smoke?</org> <unlsem> agt(smoke(icl>do).@entry.@present.@may.@interrogative, I) </unlsem> <speech-act>type=”Yn-question” may I smoke ? </speech-act> <prosody>may I <emphasis> smoke</emphasis> ? </prosody> </Sentence > </Paragraph> </D>

  16. Emotion representation(2)

  17. <?xml version="1.0" encoding="iso-8859-1 ?> <!--<?xml-stylesheettype="text/xsl" href="newshow2.xsl"?>   --> <!-- XML for TV --> <!DOCTYPE D (View Source for full doctype...)> <D dn=" TV " on="TV. 1.2" dt="2003"> <Paragraph number="1"> <Sentence  snumber="2"> <org lang="el"> No!, you may not, Victor.</org> <unlsem> aoj(smoke(icl>do).@entry.@present.@may.@not, you) mod(smoke(icl>do).@entry.@present.@may.@not, no) mod(no, !(icl>symbol)) mod(smoke(icl>do).@entry.@present.@may.@not, Victor(icl>name).@vocative) </unlsem> <speech-act> type=”Expressive” No! type=”Inform” you may not, type=”Vocative” Victor </speech-act> <prosody> <emphasis> No!</emphasis> you may <emphasis> not </emphasis> Victor </prosody> <emotion> type =”surprise” lexicon=”No!” eyebrows=”left-and right raised” No! you may not</emotion> </Sentence > </Paragraph> </D>

  18. Reflections and Next step • Extension of UNL –from written text processing to SSMT in multimodality and multilingualism, focussing on emotion representation • Visual corpus development • Development of a prototype with speech and image interface

More Related