PPT-Spoken Dialog Systems Lecture 3

Spoken Language Processing Prof Andrew Rosenberg Overview Conversational Agents Automatic Speech Recognition ASR Natural Language Understanding NLU Generation Cooperative QuestionAnswering. They are also referred to as Linear TimeInvariant systems in case the independent variable for the input and output signals is time Remember that linearity means that is t and t are responses of the system to signals t and t respectively then the re MODELS, description . languages and notations. Lecture 5. Agenda. Dialog models. Seeheim. Model. Arch/Slinky Model. MVC. PAC Model. Dialog . notations. Single-threaded dialog. Multiple-threaded dialog. Iterate dialog box, use Structure: Add New Map.Sierpinski Gasket: EFDABCEFDABCKoch Curve:B Slide . 1. Technology Changes. Mid-1980’s. 2012. Change. CPU speed. 15 MHz. 2.5 GHz. 167x. Memory size. 8 MB. 4 GB. 500x. Disk capacity. 30 MB. 500 GB. 16667x. Disk transfer rate. 2 MB/s. 100 MB/s. Presenter: Brian Stensrud, Ph.D.. 21 Jan 2016. PAO Approval: 15-ORL110503. The views expressed herein are those of the authors and do not necessarily reflect the official position of the organizations with . 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 . Hebrews 1:1, 2. Presented by Bob DeWaay. December 30, 2012. Hebrews 1:1, 2. God, after He spoke long ago to the fathers in the prophets in many portions and in many ways, in these last days has spoken to us in His Son, whom He appointed heir of all things, through whom also He made the world.. Memoir. Audio Setup Wizard. While you’re waiting, check your audio…. Is your microphone working?. Are your speakers on?. Mic Check!. Next week, you will read your memoir aloud in CC. . That means…. Randy Beach—ASCCC Executive Committee. Cynthia Reiss—. West Valley College. Martin Ramey—Mt. San Antonio College. Michelle . Sampat. —Mt. San Antonio College. Let’s Talk!. Use index cards at your to write down successes and challenges to civil, civic engagement at your college. Svetlana . Stoyanchev. Seminar on SDS, Columbia. 2. /16/. 2015. Dialogue . modeling: . formal . characterization of dialogue, evolving context, and possible/likely . continuations. Theoretical approach . and Visual Dialog.  . . . . Jason Weston. . . . . Facebook . AI Research. Collaborators. : . A. . Bordes. , Y. . Boureau. , S. Chopra, J. Dodge. and Organization for User-content Interaction. References. : 1. “Spoken Document Understanding and Organization”, IEEE Signal . Processing Magazine, Sept. 2005, Special Issue on Speech Technology. As spoken natural language dialog systems technology continues to make great strides numerous issues regarding dialog processing still need to be resolved. This book presents an exciting new dialog processing architecture that allows for a number of behaviors required for effective human-machine interactions including problem-solving to help the user carry out a task coherent subdialog movement during the problem-solving process user model usage expectation usage for contextual interpretation and error correction and variable initiative behavior for interacting with users of differing expertise. The book also details how different dialog problems in processing can be handled simultaneously and provides instructions and in-depth result from pertinent experiments. Researchers and professionals in natural language systems will find this important new book an invaluable addition to their libraries. ‹#›. ICS 143A - Principles of . Operating Systems . (Spring 20. 20. ). Lecture 1 - Introduction and Overview. MWF 11. :00- . 11:50. . a. .m.. Prof. Nalini Venkatasubramanian. ( . nalini@uci.edu.