Ch0-Introduction

Ch0-Introduction - Search and Decoding in Speech...

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Search and Decoding in Speech Recognition Introduction
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24 August 2009 Veton Këpuska 2 Introduction Introduction to Search and Decoding in Speech Recognition Problem definition: Communication via Spoken Language General Spoken Language Understanding System Concepts and Areas in Speech and Language Understanding Required Knowledge Models and Algorithms
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24 August 2009 Veton Këpuska 3 Course overview Lecture Outline Assignments Project Grading
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24 August 2009 Veton Këpuska 4 Course Outline Algorithms - Technologies Introduction Regular Expressions and Finite State Automata N-grams Parts of Speech Tagging Hidden Markov Models and Automatic Speech Recognition Context Free Grammars for English
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24 August 2009 Veton Këpuska 5 Course Outline Parsing Syntactic and Semantic Analysis Parsing with Context-Free Grammars Statistical Parsing Semantics: Representing Meaning Computational Semantics Lexical Semantics Computational Lexical Semantics
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24 August 2009 Veton Këpuska 6 Course Outline Applications Discourse Information Extraction Question Answering and Summarization Machine Translation
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24 August 2009 Veton Këpuska 7 Course Logistics Lectures: Two sessions/week, 1.25 hours hours/session Grading (Tentative) Assignments 40% Final Project 60% Textbook: Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Daniel Jurafsky and James H. Martin Prentice Hall, 2ed http://www.cs.colorado.edu/~martin/SLP
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Communication via Spoken Language
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24 August 2009 Veton Këpuska 9 Communication via Spoken Language Speech Speech Input Output Text Text Meaning Understanding Generation Human Computer
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24 August 2009 Veton Këpuska 10 Virtues of Spoken Language Natural: Requires no special training Flexible: Leaves hands and eyes free Efficient: Has high data rate Economical: Can be transmitted/received inexpensively Speech interfaces are ideal for information access and management when: • The information space is broad and complex, • The users are technically naive, or • Only telephones are available
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24 August 2009 Veton Këpuska 11 General Spoken Understanding System
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Understanding Natural Understanding Problem
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24 August 2009 Veton Këpuska 13 Conversational Agent: Space Odyssey 2001 Dave Bowman: “Open the pod bay doors, HAL” HAL: “I’am sorry Dave, I’m afraid I can’t do that.” Stanley Kubric and Arthur C. Clarke Screen play of “2001: A Space Oddyssey
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24 August 2009 Veton Këpuska 14 HAL 9000 Computer Advanced Computer with following capabilities: Language Processing Speaking Understanding (English) Lip Reading, etc.
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24 August 2009 Veton Këpuska 15 What it takes to have HAL like computer. Executive Functions
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Ch0-Introduction - Search and Decoding in Speech...

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