1. ViSiCAST 2001 Technical Audit 8 October 2001, Brussels Michele Wakefield - Project Manager, ITC

2. The ViSiCAST Project Virtual Signing Capture Animation Storage and Transmission

3. Aims of ViSiCAST Project “…support improved access by deaf citizens to information and services in sign language”  user friendly methods to capture & generate signs  machine readable system to describe gestures ... preferred medium is sign language

4. Tessa at the Post Office  Using speech recognizer  Convert counter-clerk’s voice input to text  Generate sign stream from text  BSL – limited repertoire

5. Independent Television Commission Televirtual University of East Anglia The Post Office Royal Institute for Deaf People Instituut voor Doven Hamburg University Institut für Rundfunktechnik Institut National des Télécommunications ViSiCAST Consortium

6. Project Dimensions  Duration  Start: January 2000  Finish: December 2002  36 months  Total Costs  3770kECU total  2876kECU funding from EC

7. ViSiCAST Project Highlights  Prototype enabling text translation and direct synthesis of sign language gestures  Quality assessment support to other EU project  New TESSA system trial at Science Museum, London  Achieved BCS IT Award and Gold Medal  Innovative transmission assessment for broadcast TV  BBC seek to deliver a closed signing service for broadcast DTV  WWW Weather-forecaster with Virtual Signer available in 3 Sign Languages

8. WWW High Street Broadcast Evaluation Exploitation AnimationLinguistics ViSiCAST Project Structure Technology U ser Application Exploitation &Dissemination

9. Presentations by Core Streams o Technology: Animation & Linguistics  WP4 AnimationMark,Televirtual (10)  WP5 LinguisticsThomas, UH (10 )  User: Applications  WP1 BroadcastWerner,IRT; Francoise, INT (10)  WP2 WWWCorrie/Margriet, IvD (10)  WP3 Face to FaceStephen, UEA(10)  Exploitation & Dissemination  WP7,8 Michele (10)

10. Technology Focus Objectives  WP 4 Animation  Increased realism in sign generation  Enhanced signing experience  WP5 Sign Language Linguistics  Use of natural sign language  Synthesis of sign language gestures

11. Animation: Initial Work  Developed TESSA & VISIA Avatars  Developed Capture / Animation system  Integrated into early demos of WPs 1-2-3

12. Animation Work: Objectives  WP4:  Develop Hi-Resolution Avatars + related capture, animation and transmission formats inc. compression  To enable and support application development in WPs 1-2-3 using WP4 (& WP5) Product.  To further develop, compare and integrate both proprietary and standard solutions, where appropriate

14. Animation: Current Work  Through Year Two  Continued to support Application development  Continuous upgrade to VISIA / TESSA player (Open GL renderer under Active X control)  Bug fixing / Motion capture support .baf format and compression layer with WP1 to create Broadcast Demonstrator using Vsicast system  MPEG compatability / parallel development in WP4 and applications

16. Animation: Continuing & future Work  Working on ways to improve facial animation / realism (forehead / eyes)  Exploring Statistical Methods to define and generate facial Animation  Working on ways to facilitate Avatar creation (Photographic acquisition)  Mask 2 + Improved Mo Cap

20.  MPEG-4 SNHC for interoperable animation  MPEG-4 SNHC player and server delivered in June 2001 server delivered in June 2001 MPEG-4 compliant Animation Achievements à 5 to 25 kbit/s à 7 to 14 bit/vertex  Making use of a MPEG-4 compliant Visia model  Compliance with VRML standard (H-Anim specifications) specifications)  Incorporating a full compression layer  3D mesh & texture encoding  Motion parameters (BAP/FAP) encoding  Implementing importation and editing tools  Open delivery interface: MPEG-2, IP, ATM...

21.  Advanced interoperable distributed animation system  Improved facial animation  MPEG-4 System layer implementation  Multimedia (audio, video, text…) synchronisation  Error resilience  Management of scene description  MPEG-compliant SiGML-driven animation  Open input/output interface MPEG-4 compliant Animation Perspectives

22. Presentation by Streams - Linguistics  WP 4 Animation  Increased realism in sign generation  Enhanced signing experience  WP5 Sign Language Linguistics  Use of natural sign language  Synthesis of sign language gestures

23. WP 5: Language Technology  Goal within the project:  To provide semi-automatic translation from English into BSL, DGS, NGT  Can also be used to assist the user in monolingual language input  No writing system for sign languages established

24. The last year: 3 deliverables  D5-1: Defining the interfaces  D5-2: Transfer to XML:  SiGML definition  D5-3 Prototype translation system:  English to notation

25. D5-1: Defining the interfaces  Adaptation of Discourse Representation Structure  Extension of HamNoSys, a phonetic transcription system for sign language  Notation conventions for all non-manual aspects relevant for (European) sign languages  Body movement  Head movement  Facial expressions  Mouthing and Mouth gestures  Eye movement  Synchronicity with manual elements

26. D5-2: SiGML  Defines XML domain based on D5-1 manual and non-manual notation  Simple timing model  Probably to be revised to ease integration with upcoming synchronisation models as required for broadcasting etc.  SMIL, XMT (MPEG4) etc.

27. D5-3: Proto text-to-sign notation  English to semantics (DRS)  CMU Parser  DRS construction  Semantics to sign language notation  DRS to HPSG semantics (ALE/MRS)  HPSG generation (ALE/LinGo)  HPSG PHON (HamNoSys) to SiGML

28. HPSG modelling of sign languages  Aiming at proper sign language, not anything like SEE  No detailed grammars published, no usable dictionaries  Most importantly: Data-driven  Lexicon and every aspect of our grammar fragment

29. Example: Verifying details

30. Demo: D5-3 plus D4-2  Due month 26 (Feb 02), i.e. work in progress  Complete route from English to sign language animation

31.  Convert avatar-independent SiGML to avatar-specific description:  Define all SiGML locations (shoulder, eyes, fingertip, etc.) in terms of the avatar's geometry  Define hand shapes in terms of rotations of the hand joints  Determine arm joint rotations from hand positions by inverse kinematics  Convert SiGML movements into numerically defined trajectories  Output in BAF format or VRML Synthetic Animation of SiGML

32.  Model each joint by a second-order control system  a muscle applies a torque to the joint, resisted by a moment of inertia and damping  Generate different types of motion (fast, slow, etc.) by varying the model parameters Biocontrol model

33.  If only hands, arms, and face are animated, the result is stiff and lifeless.  Animate the spine and head by mixing “ambient motion” from motion capture files with synthetic animation. Ambient motion

34.  An alternative route to creating animations  Every important physical feature of a sign is notated in Hamnosys, guaranteed to be reproduced in the animation  precise contacts between hands  relationship between hands and body  Any avatar can be targeted at low additional cost Usefulness of synthetic animation

35. Closing the feedback loop  So far, only the native signers involved in the project can judge the output of our HPSG generation system  Requires intimate knowledge of HamNoSys at least  With the animation output, we have access to the native signers’ intuition of much more people than today  Opens the way to more formal evaluation of the generation system than is available to date

36. Summary: Language Technology  First successful steps in HPSG language modelling and translation of English to sign language  Encoding established and extended sign language notation with standard description model (XML)  Already close to closing the feedback loop to allow native signers evaluation of our language production system

37. Presentation by Streams  Animation and Linguistics  User Applications : Evaluation of broadcast transmission for DTV  Exploitation and Dissemination

38. User Applications Objectives  WP1 Television  Closed signing for Broadcast DTT  Enhanced signing experience  Regulation and Standards  WP2 Internet  Information and Education for Deaf People  WP3 Face to Face  High Street Post Office Counter Services  Science Museum Trial - Summer 2001

39. Presentation by Streams - Television  WP1 Television  Closed signing for Broadcast DTT  Enhanced signing experience  Regulation and Standards  WP2 Internet  Information and Education for Deaf People  WP3 Face to Face  High Street Post Office Counter Services  Science Museum Trial - Summer 2001

40.  Low transmission rate < 25 kbit/s  Compatibility with signing on other media and foreign deaf languages foreign deaf languages  Precise, sharp representation of signer  Open display options  Compliance with international standards: MPEG, DVB  Future-proof:  cost saving  allows vast no. of signed programmes  no transition from video-based to VH signing VH on TV: The Advantages

41.  Integrated TX system for broadcast to STBs  demonstrator complete end of 2000  Implementing virtual human s/w in STB  Incorporating a compression layer  Using MPEG-2 delivery layer for maximum compliance:  with existing hardware  with MPEG & DVB standards  with proprietary formats Broadcast VH Signing: Achievements

42. Broadcast VH Signing: Functional architecture MUXPacket MPEG-2AVencoder MPEG-4SNHCencoder BAFencoder MPEG-2AVdecoder MPEG-4SNHCdecoder BAFdecoder MPEG-4SNHCplayer BAFplayer COMPOSE dePacket deMUX EncoderDecoder Compositor SystemSystem Delivery normative proprietary MPEG-2TS

43. Broadcast VH Signing: System layer implementation UDP/TCPpacketiser ThomsonMPEGencoder RFmodulator DVB receiver card IPfilter SystemSystem Delivery EncoderDecoder Compositor MPEG-2TS

44. MPEG-2 Transport Stream (TS) MPEG-2 Packetized Elementary Stream (PES) Section PES Broadcast VH Signing: Versatile delivery architecture BAF AudioVideo FlexMUX Scene desc. AudioVideo SNHC MPEG-4MPEG-2 Proprietary SiGML Text MPEG-7 Content description Content description Coding Delivery DVB compliant DVB compliant

45.  Advanced TX system for broadcast to STBs  Open, MPEG & DVB compliant architecture  Improved synchronisation layer  Integrating a compositing layer  Implementing a complete MPEG-4 multimedia player  Integrating SiGML stream Broadcast VH Signing: Perspectives

46. MPEGCompositor Broadcast VH Signing: Targeted architecture MUXPacket MPEG-4SNHCencoder BAFencoder MPEG-4SNHCdecoder BAFdecoder Multimediaplayer dePacket deMUX EncoderDecoder Compositor SystemSystem Delivery normative proprietary MPEG-2TS MPEG- MPEG-AVencoder 24 AVdecoder 24

47. Presentation by Streams - WWW  WP1 Television  Closed signing for Broadcast DTT  Enhanced signing experience  Regulation and Standards  WP2 Internet  Information and Education for Deaf People  WP3 Face to Face  High Street Post Office Counter Services  Science Museum Trial - Summer 2001

48. Weather Forecast Application  First WWW application: daily weather forecast in 3 sign languages  content creation  example forecast  evaluation

49. Creation of content  Source: forecast in free text  Tool for semi-automatic conversion  manual standardisation of text  automatic generation sign languages  Result: 3 webpages  English/BSL & Dutch/SLN & German/DGS

50. Demo

51. Evaluation with Deaf users  Subjective quality of signing rated as ‘reasonable’ or ‘good’  68% correct or partially correct  Improvement possibilities  mouthing  facial expressions

52. Mouthing Scores for signs depending in various degrees on mouthing

53. Facial Expressions Scores for signs depending in various degrees on facial expressions

54. Next Steps  Improvements  Beta-testing  on line  larger user group  user feedback  Exploitation planning

55. Presentation by Streams – Face to Face  WP1 Television  Closed signing for Broadcast DTT  Enhanced signing experience  Regulation and Standards  WP2 Internet  Information and Education for Deaf People  WP3 Face to Face  High Street Post Office Counter Services  Science Museum Trial - Summer 2001

56. WP3: Face-to-face transactions  Research concentrated on TESSA (Text and Sign Support Agent)  Enables Post Office counter clerks to “translate” from (English) speech to sign language  System developments:  Autumn 2000: New system software completed, incorporating IBM “Via Voice” speech recognition and improved avatar  Spring 2001:  200 new signs recorded, processed and added to system  Spring/Summer 2001: Development and testing of “unconstrained system”

57. First System using Constrained Speech Recognition

58. “Unconstrained” Speech System

59. Demo

60. Testing the Speech Recognition Accuracy of the Unconstrained System  Single speaker  200 “constrained” phrases  Three recording conditions:  studio microphone in acoustic booth  boom microphone I in lab  boom microphone II in Science Museum Post Office  Three conditions for recogniser:  Untrained  Acoustic models fully trained on boom microphone II in lab  Acoustic and language models fully trained

61. Speech recognition accuracy of unconstrained system

62. Language Processing I aaboutaccessaccount..youyou’veyour 0010001200100000010001000010....................................... Co-occurrence matrix of Words versus Phrases Phrases 1,2 & 3…... …..Phrase n

63. Language Processing II  Entry W(i,j) in matrix is transformed to:  Given M words output by recogniser, score for each phrase is computed as: Normalised average uncertainty about phrase p j given word w i Compresses value of entry Scores above a threshold T are displayed to PO clerk in a list

64. Testing the Phrase Retrieval Accuracy of the Unconstrained System  10 speakers  For each speaker and each of 200 phrases:  record one utterance of the “constrained” phrase  ask speaker to write down another way of expressing the phrase  record speaker saying this phrase  Training of recogniser not possible for 10 different speakers  Hence measure phrase retrieval accuracy on text of unconstrained phrases only

65. Phrase recognition Results on Text of Alternative Utterances Average accuracy = 73.3%

66. Future Work  Unconstrained System  Investigate use of partial string matching of word sequences and phoneme sequences  Investigate use of Latent Semantic Analysis  Add spoken language(s) translation  Sign recognition  Collect data  Configure baseline system

67. Exploitation and Dissemination Highlights  Exploitation and Dissemination  BBC Collaboration for closed signing solution for broadcasting DTV  TESSA BCS IT Award & Gold Medal  WWW Weather Forecasting in 3 European Sign Languages  Close Involvement of Deaf People

68. Dissemination Highlights  November 2000: TESSA wins British Computer Society Gold Medal for IT  February 2001: TESSA exhibited at Royal Society  March 2001: TESSA appears on “Computer Club” (German TV)  July–September 2001: TESSA on exhibition at Science Museum, London  October 8th 2001: TESSA appears on “Blue Peter” (BBC TV)  November 2001: TESSA on show at COMDEX, Las Vegas

69. Exploitation Highlights / Short Term  Bandwidth efficient closed signing  Excessive in-vision signing disliked by hearing people  Impacts on DTT multiplexes where bit-rate is already at a premium  BBC investigation of closed signing for DTV  Demonstration of Avatar-based signing  Body suit capture technologies

70. Short Term- WWW strategy  Give away basic web browser  Sell SiGML authoring tool presented  De facto standard

71. Exploitation Highlights Medium to Long Term  Conversion of subtitles  high % of programmes subtitled  supports wide range of deaf signing languages  subtitles translated in set top box  overcomes spectrum capacity & scheduling restrictions  Requirements:  reliable unconstrained translator  next generation DVB-compliant STB with in-built signing decoder