PPT-Spoken Dialogue System Architecture

Joshua Gordon CS4706 1 Outline Goals of an SDS architecture Research challenges Practical considerations An endtoend tour of a real world SDS 2 SDS Architectures Software abstractions that . Laughter Q/A Start End Pause Male Sarcastic 0.73 0.10 0.57 0.43 0.07 0.23 Sincere 0.22 0.20 0.94 0.48 0.19 0.51 Table 1. Probability of each contextual feature given the class of speech. Indi Ben . Hixon. , Rebecca J. . Passonneau. Jee Hyun Wang. Information Access. Power versus Accessibility. Power: powerful semantics; requires expertise. . -RDBs. . -Ontologies. Accessibility: easy for most users; lacks portability. Final Draft Typing. 15 . September 2015 . Ms. Smith CCR English 10. I can write narratives to develop real or imagined experiences or events using effective technique, well-chosen details, and well-structured event sequences.. Systems Introduction. Svetlana Stoyanchev. Columbia University. 01/26/2014. Instructor: Svetlana Stoyanchev. Contact Info:. sstoyanchev@columbia.edu. Skype: . svetastenchikova. Office Hours: Mondays: 2-4, Speech Lab (CEPSR 7LW3) . Speech recognition errors . Increased cognitive load on the user. Statistical dialogue modelling deals with speech recognition errors. Substantial research concerns safety while talking to a dialogue system in a car. Lecture . 20. Spoken Language Processing. Prof. Andrew Rosenberg. User interaction. ‘. Rules. ’. of Human-Human Conversation. Turn-taking. Speech Acts. Grounding. Dialogue Management in SDS. Types of Dialogue Management . Svetlana Stoyanchev. 02/02/2015. Dialog s. ystem components. Voice input. Hypothesis (automatic. transcription). Text. Speech. Language Model/Grammar. Acoustic model. Grammar/Models. Generation templates/. Svetlana . Stoyanchev. Seminar on SDS, Columbia. 2. /16/. 2015. Dialogue . modeling: . formal . characterization of dialogue, evolving context, and possible/likely . continuations. Theoretical approach . Andrew Maas. Stanford University. Spring 2017 . Lecture 10: Dialogue System Introduction and Frame-Based Dialogue. Original slides by Dan . Jurafsky. Dialog section. May 3: Dialog introduction. Frame based systems. . Ga. š. i. ć. Dialogue Systems Group. Why are current methods poor?. Dialogue as a Partially Observable Markov Decision Process (. POMDP. ). a. t. s. t. s. t 1. r. t. o. t. o. t 1. State is unobservable. and Organization for User-content Interaction. References. : 1. “Spoken Document Understanding and Organization”, IEEE Signal . Processing Magazine, Sept. 2005, Special Issue on Speech Technology. October. , 201. 5. Dimitri Rakviashvili, Head of Software Department. 2. Personal Introduction and . Agenda. Personal Introduction. System Architecture – Global Topics: Technology, Patterns, Layers, Toolset. Julia Hirschberg. CS 6998. 1/17/23. 1. Welcome to the Course!. 1/17/23. 2. My Background. First PhD in History at . UMich. on 16. th. -century first settlers in Puebla de los Angeles, Mexico. Taught at Smith College. in Healthcare. 2. Spoken dialogue system. Help healthcare providers r. eview and validate the . information. Provide healthcare professionals with data-driven insights . /. 3. hi. how are you ?. . good..