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Ch0-Introduction

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

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Search and Decoding in Speech  Recognition Introduction
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2/13/12 Veton K ë puska 2 Introduction u Introduction to Search and Decoding in  Speech Recognition n Problem definition: Communication via  Spoken Language n General Spoken Language Understanding  System n Concepts and Areas in Speech and  Language Understanding n Required Knowledge n Models and Algorithms
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2/13/12 Veton K ë puska 3 Course overview u Lecture Outline u Assignments u Project u Grading
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2/13/12 Veton K ë puska 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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2/13/12 Veton K ë puska 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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2/13/12 Veton K ë puska 6 Course Outline Applications Discourse Information Extraction Question Answering and Summarization Machine Translation
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2/13/12 Veton K ë puska 7 Course Logistics u Lectures: n Two sessions/week, 1.25 hours hours/session u Grading (Tentative) n Assignments  40% n Final Project  60% u Textbook: n Speech and Language Processing: An Introduction to  Natural Language Processing, Computational Linguistics,  and Speech Recognition. Daniel Jurafsky and James H. Martin Prentice Hall, 2ed n http://www.cs.colorado.edu/~martin/SLP
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Communication via Spoken  Language
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2/13/12 Veton K ë puska 9 Communication via Spoken Language   Speech Speech Input Output Text Text Meaning Understanding Generation Human Computer
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2/13/12 Veton K ë puska 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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2/13/12 Veton K ë puska 11 General Spoken Understanding  System
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Understanding Natural  Understanding Problem
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2/13/12 Veton K ë puska 13 Conversational Agent: Space Odyssey 2001 u Dave Bowman:  “Open the pod bay doors, HAL” u 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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2/13/12 Veton K ë puska 14 HAL 9000 Computer u Advanced Computer with following  capabilities: n Language Processing  n Speaking n Understanding (English) n Lip Reading, etc.
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2/13/12 Veton K ë puska 15 What it takes to have HAL like  computer.
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