PPT-1 Yu-Wen Chen Spoken Dialogue System

in Healthcare 2 Spoken dialogue system Help healthcare providers r eview and validate the information Provide healthcare professionals with datadriven insights 3 hi how are you good. 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 Joshua Gordon. CS4706. 1. Outline. Goals of an SDS architecture. Research challenges. Practical considerations. An end-to-end tour of a real world SDS. 2. SDS Architectures. Software abstractions that . 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. . Filter. Po-Chen Wu. Media IC and System Lab. Graduate Institute of Electronics Engineering . National Taiwan University. Outline. Introduction to . Kalman. Filter. Conceptual Overview. The Theory of . 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.