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Picture My Voice: Audio to Visual Speech Synthesis using Artificial Neural Networks
KTH, Superseded Departments, Speech, Music and Hearing.ORCID iD: 0000-0003-1399-6604
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1999 (English)In: Proceedings of International Conference on Auditory-Visual Speech Processing / [ed] Massaro, Dominic W., 1999, 133-138 p.Conference paper (Other academic)
Abstract [en]

This paper presents an initial implementation and evaluation  of  a  system  that  synthesizes  visualspeech  directly  from  the  acoustic waveform. Anartificial  neural  network  (ANN)  was  trained  tomap  the  cepstral  coefficients  of  an  individual’snatural  speech  to  the  control  parameters  of  ananimated  synthetic  talking  head. We  trained  ontwo data sets; one was a set of 400 words spokenin  isolation  by  a  single  speaker  and  the  other  a subset  of  extemporaneous  speech  from  10different speakers. The system showed learning inboth cases. A perceptual evaluation test indicatedthat the system’s generalization  to new words bythe  same  speaker  provides  significant  visible information, but significantly below that given bya text-to-speech algorithm.

Place, publisher, year, edition, pages
1999. 133-138 p.
URN: urn:nbn:se:kth:diva-12710OAI: diva2:318254
International Conference on Auditory-Visual Speech Processing
QC 20100507Available from: 2010-05-07 Created: 2010-05-07 Last updated: 2010-05-11Bibliographically approved
In thesis
1. Talking Heads - Models and Applications for Multimodal Speech Synthesis
Open this publication in new window or tab >>Talking Heads - Models and Applications for Multimodal Speech Synthesis
2003 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

This thesis presents work in the area of computer-animatedtalking heads. A system for multimodal speech synthesis hasbeen developed, capable of generating audiovisual speechanimations from arbitrary text, using parametrically controlled3D models of the face and head. A speech-specific directparameterisation of the movement of the visible articulators(lips, tongue and jaw) is suggested, along with a flexiblescheme for parameterising facial surface deformations based onwell-defined articulatory targets.

To improve the realism and validity of facial and intra-oralspeech movements, measurements from real speakers have beenincorporated from several types of static and dynamic datasources. These include ultrasound measurements of tonguesurface shape, dynamic optical motion tracking of face pointsin 3D, as well as electromagnetic articulography (EMA)providing dynamic tongue movement data in 2D. Ultrasound dataare used to estimate target configurations for a complex tonguemodel for a number of sustained articulations. Simultaneousoptical and electromagnetic measurements are performed and thedata are used to resynthesise facial and intra-oralarticulation in the model. A robust resynthesis procedure,capable of animating facial geometries that differ in shapefrom the measured subject, is described.

To drive articulation from symbolic (phonetic) input, forexample in the context of a text-to-speech system, bothrule-based and data-driven articulatory control models havebeen developed. The rule-based model effectively handlesforward and backward coarticulation by targetunder-specification, while the data-driven model uses ANNs toestimate articulatory parameter trajectories, trained ontrajectories resynthesised from optical measurements. Thearticulatory control models are evaluated and compared againstother data-driven models trained on the same data. Experimentswith ANNs for driving the articulation of a talking headdirectly from acoustic speech input are also reported.

A flexible strategy for generation of non-verbal facialgestures is presented. It is based on a gesture libraryorganised by communicative function, where each function hasmultiple alternative realisations. The gestures can be used tosignal e.g. turn-taking, back-channelling and prominence whenthe talking head is employed as output channel in a spokendialogue system. A device independent XML-based formalism fornon-verbal and verbal output in multimodal dialogue systems isproposed, and it is described how the output specification isinterpreted in the context of a talking head and converted intofacial animation using the gesture library.

Through a series of audiovisual perceptual experiments withnoise-degraded audio, it is demonstrated that the animatedtalking head provides significantly increased intelligibilityover the audio-only case, in some cases not significantly belowthat provided by a natural face.

Finally, several projects and applications are presented,where the described talking head technology has beensuccessfully employed. Four different multimodal spokendialogue systems are outlined, and the role of the talkingheads in each of the systems is discussed. A telecommunicationapplication where the talking head functions as an aid forhearing-impaired users is also described, as well as a speechtraining application where talking heads and languagetechnology are used with the purpose of improving speechproduction in profoundly deaf children.

Place, publisher, year, edition, pages
Institutionen för talöverföring och musikakustik, 2003. viii, 63 p.
Trita-TMH, 2003:7
Talking heads, facial animation, speech synthesis, coarticulation, intelligibility, embodied conversational agents
urn:nbn:se:kth:diva-3561 (URN)91-7283-536-2 (ISBN)
Public defence
2003-06-11, 00:00 (English)
QC 20100506Available from: 2003-06-26 Created: 2003-06-26 Last updated: 2010-05-11Bibliographically approved

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