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4. Speech Synthesis

4. Speech Synthesis. Introduction to Speech synthesis TTS Unit Selection Animated Characters that speak. Introduction to Speech synthesis. The term Speech synthesis refers to the technologies that enable computers or other electronic systems to output simulated human speech.

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4. Speech Synthesis

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  1. 4. Speech Synthesis • Introduction to Speech synthesis • TTS • Unit Selection • Animated Characters that speak MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  2. Introduction to Speech synthesis • The term Speech synthesis refers to the technologies that enable computers or other electronic systems to output simulated human speech. • Important are: intelligibility and naturalness. • Naturalness is often evaluated depending on every situation. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  3. TTS • Text – to – Speech • Translates text into speech using phonetic rules to transcribe the text and then speak it. • Requires information about: • Abbreviations (Dr., Nr., etc., …) • Specific readings of numbers and symbols ($, #, …) • Reading of time formats (1:45, 13;45…) • Pronunciation of each letter in every context (“cat”, “tar”, “Jane”,…) MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  4. Types of Speech Synthesis • Concatenative • Based on human speech samples • Diphones • Words • Variable length units • Formant Synthesis • Simulates human speech electronically using phonological rules MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  5. Animated Characters that speak • Baldi & Ms Gurney • Tongue models • Vismes • Expressions: fear, anger, happiness,… • Visible speech: vowels, consonants • Real-time animation by moving from one target position to the next MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  6. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  7. Studying Expressions (Viseme A) MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  8. 3D Model (neutral face) MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  9. 3D Model (angry) MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  10. 5. Natural Language • Introduction to Natural Language Understanding (NLU) • Examples of structured queries and natural language • Parsing • Natural Language Generation (NLG) • Interface Design Challenges by Candence Kamm, AT&T Labs MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  11. Introduction to Natural Language Understanding (NLU) MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  12. Natural Language (NL) • This technology that has found its way into current applications is used for both, input and output. • Because of the multi-disciplinary community involved in speech user interface development, the term Natural language has several connotations. • Linguistic: it’s the language spoken and written by a given culture (English, German,…) • It can be discussed in terms of phonology, grammars, semantics and pragmatics. • From the standpoint of interaction, we focus and study pragmatics. We study how people use language and how this can be used to control computers. We also want a computer to respond consistently under different circumstances. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  13. Natural Language • It is common to use special languages (artificial languages) to solve specific problems, for example: mathematics, music, chemistry, computer languages. • Command languages are specialized to control a computer. Example: • MS-DOS commands: dir, del, … • UNIX console commands: ls, rm,… • In natural language a user would say: “list all the files in this directory” or “delete the file …” MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  14. Specialized Usage of NL • The goal is to achieve continuous natural language interaction with machines, however for now it is possible to apply it only for more specialized uses: • Natural Language Database Queries • Text database queries are increasingly popular and commercially available • They analyze natural language requests grammatically and apply additional linguistic analysis and business rules to create a request ans return results. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  15. Examples of queries • A structured query language may be faster than natural language queries but require the user to be trained to use it: • Altavista (www.altavista.com) is a search engine: • In Altavista you can type in a question in natural language: what italian resaturants are in seattle? • Yahoo (www.yahoo.com) is a directory: • In Yahoo you would type: italian and restaurant and seattle MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  16. Parsing • This is a technology that analyzes a text • It works Similar to word-spotting • It scans the text and maps each word with a grammar to find the important keywords • Advanced systems will search for synonyms, corrects mistakes between singular and plural usage, etc. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  17. Natural Language Generation • Natural language is also used to generate understandable output for speech synthesis and for text output. • Medical and Legal reporting, generation of weather reports. • However, although it seems like the natural way to interact, it is not proven that it is optimal. What is faster, and more accurate: typed NL, spoken NL or GUI’s? MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  18. Nowadays it appears that in some situations spoken or written NL is better, with a reduced vocabulary, but it will require users to know the limitations • A multi-modal approach is likely to be the best solution in many settings, where the user can decide the kind of interaction (mouse, speech or typing), and where these complement each other. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  19. Interface Design Challenges by Candence Kamm, AT&T Labs • People don’t wait their turn in an interaction • People use different words to reach the same goal (“yes”, “ok”, “sure”, “yep”…) • The interfaces need to handle the limitations of the technology, work around it or warn the user of what could happen, etc. • Newer technology pose new challenges (wireless telephones, etc.) MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  20. The problem is to teach people what words the system knows, the domain it can handle. • Collecting data on the exact utterances people are going to say is very important. • The systems require very heavy error correcting, error recovery capabilities. • If you want an application to work today, you have to focus it as narrowly as possible and try to guide the user trough it. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  21. Speech Portals • Introduction • Voice eXtensible Markup Language VXML • VUI –Voice User Interface • Web-GUI vs. VUI MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  22. Speech Portals • Developed to provide information (Banks, Companies, Events…) • These can be interactive or not • Interactive portals can be programmed via various technologies, one of them is VXML. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  23. VXML • Voice eXtensible Markup Language or VXML is based on XML, for developing speech interfaces. • Users access VXML by dialing the phone number of the application. • A VXML Gateway accesses the internet to retrieve the web-page associated to that number and interprets it. • The Gateway manages the interaction using ASR, Speech Synthesis and is the link between the telephony service and the internet. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  24. VXML Network Interactions VXML Gateway Web Server Device Transport Internet Telephony (PSTN or ISDN) MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  25. The voice Portal Components Voice Portal Audio Resource Telephony Resource ASR Resource TTS Resource TCP/IP Resource VoiceXML Browser/Interpreter MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  26. Telephony Network VXML enabling Network Web Servers Voice Portal TCP/IP Internet TCP/IP MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  27. VUI –Voice User Interface • A user interface is the part that a user interacts with • At basic level a VUI should • Provide users with mental models of how the application works and what task it supports • Collect user input in the form of spoken input or DTMF sounds (telephone keypad) • Deliver system output to the telephone receiver • Support users in task completion • Support recovery from user or system errors MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  28. VUI User Characteristics • Voice applications should be targeted to well-defined user groups, but some common characteristics of VUI users help to understand the differences to PC GUI users: • Limited PC/Internet experience • Mobile environment • Single I/O mode MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  29. Web-GUI vs. VUI WEB • Back Button • Home Button • Home link on the web-page • Screen layout with colors, theme graphics • Pop-up windows to indicate errors and recovery • Help link • Links to other web-pages • Form-input, Selection Lists, radio buttons • In-progress/status indicator MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  30. Web-GUI vs. VUI VUI • Voice commands to return to previous step • Voice commands to take the user to a known starting point (main menu) • Recorded announcements and TTS voices, speaking style, gender and tone branding. • Tones, TTS, or recorded messages to indicate errors and recovery • Help messages • System functions programmed to prompt input • VoiceXML forms associated with prompts • Audio-hourglass tone, sound, music or message that indicates what the system is doing. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  31. 7. Spoken Dialogue Systems • Introduction • Basic components • CU Communicator • Galaxy Architecture MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  32. Speech Recognition Parser Speech Synthesis Natural Language Generation Dialogue Management Application Database Basic components MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  33. CU CommunicatorCSLR Colorado University • Financed by DARPA (beginning Abril´99) • GALAXY Architecture • Interface via telephone line • Reservation of flights, hotels and car-rental • Robust parsing and event-driven dialogue management. MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  34. Galaxy Architecture NLG Speech Recognition Audio HUB Reliability Server Speech Synthesis Database NLP Dialogue Management MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

  35. The End “By becoming a user you will be able to understand the tasks and appreciate the constraints involved” MMP - M204 Information Design/Cross Media Publishing - Spoken Language Interfaces - Dr. Ingrid Kirschning (UDLA)

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