CS 224S

Nov 21, 2013

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Outline. Natural Language UnderstandingNatural Language GenerationInformation-State ModelsDialogue-Act DetectionDialogue-Act Generation. Summary. The Linguistics of ConversationBasic Conversational AgentsASRNLUGenerationDialogue ManagerDialogue Manager DesignFinite StateFrame-basedIniti

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CS 224S

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CS 224S

12/18/2012. CS 224S Winter 2006. 2. Outline. Text ProcessingText NormalizationTokenizationEnd of sentence detectionMethodology: decision treesHomograph disambiguationPart-of-speech taggingMethodology: Hidden Markov ModelsLetter-to-Sound Rules(or Grapheme-to-Phoneme Conversion"). 12/18/2012

1.24k views • 106 slides

CS 224S LING 281 Speech Recognition and Synthesis

Part II: Search (= Decoding"). Defining the goal for ASR decodingSpeeding things up: Viterbi beam decodingProblems with Viterbi decodingMultipass decodingN-best listsLatticesWord graphsMeshes/confusion networksA* search. What we are searching for. Given Acoustic Model (AM) and Language Mode

740 views • 48 slides

CS 445 / CS 645

CS 445 / CS 645. Antialiasing. Today. Final Exam Thursday, December 13 th at 7:00 Project 4-1 Out Movies. Samples. Sampling Errors. Some objects missed entirely, others poorly sampled. Supersampling. Take more than one sample for each pixel and combine them

377 views • 26 slides

CS 224S

374 views • 26 slides

CS 224S LING 281 Speech Recognition and Synthesis

Outline. The Linguistics of ConversationBasic Conversational AgentsASRNLUGenerationDialogue ManagerDialogue Manager DesignFinite StateFrame-basedInitiative: User, System, MixedVoiceXMLInformation-StateDialogue-Act DetectionDialogue-Act Generation. VoiceXML. Voice eXtensible Markup Lang

1.06k views • 92 slides

CS 224S

11/22/2013. CS 224S Winter 2006. 2. Outline. History of Speech SynthesisState of the Art, including DemosOverview of Speech SynthesisOverview of FestivalWhere it lives, its componentsIts scripting language: SchemeLetter-to-Sound Rules(or Grapheme-to-Phoneme Conversion"). 11/22/2013. CS 224S

437 views • 42 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 9: Human conversation, frame-based dialogue systems. Outline. Basic Conversational Agents ASR NLU Generation Dialogue Manager Dialogue Manager Design Finite State Frame-based

204 views • 0 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 8 : Interpersonal Stance. Scherer’s typology of affective states.

647 views • 51 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 13: Text-to-Speech I: Text Normalization, Letter to Sound, Prosody. Lots of slides thanks to Alan Black and Richard Sproat. Outline. History, Demos Architectural Overview

1.29k views • 100 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 3 : ASR: HMMs, Forward, Viterbi. Outline for Today. ASR Architecture Decoding with HMMs Forward Viterbi Decoding How this fits into the ASR component of course

872 views • 71 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 11: Personality. Scherer’s typology of affective states.

656 views • 50 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 6: Feature Extraction. Outline. Feature extraction How to compute MFCCs Dealing with variation Adaptation MLLR MAP Lombard speech Foreign accent Pronunciation variation.

996 views • 81 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 12: Some Medical Applications: Intoxication, Depression, Trauma. Topic 1: Intoxication. Hollien et al 2001. Methods: 35 young adults, 19 males, 16 females

1.07k views • 89 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 14: Waveform Synthesis (in Concatenative TTS). Lots of slides thanks to Alan Black and Richard Sproat. Predicting Intonation in TTS.

933 views • 78 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 10: Information State and Utility-based dialogue systems. Outline. Dialogue Manager Design Finite State Frame-based Information-State Dialogue-Act Detection

983 views • 83 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Andrew Maas Stanford University Spring 2014 Lecture 16: Acoustic Modeling with Deep Neural Networks (DNNs). Logistics. Poster session Tuesday! Gates building back lawn We will provide poster boards and easels (and snacks)

589 views • 42 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 7: Emotion/Affect Extraction. Social Signal Processing = Affect/Emotion Detection. Detecting frustration of callers to a help line Detecting stress in drivers or pilots

818 views • 68 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 4: ASR: Learning: EM (Baum-Welch). Outline for Today. Baum-Welch = EM = Forward-Backward How this fits into the ASR component of course April 8: HMMs, Forward, Viterbi Decoding

858 views • 71 slides

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 2: Acoustic Phonetics and Intonation. Today: Acoustic Phonetics No math today. PRAAT and sound waves Segmental Phenomena: Spectra Spectrograms Formants Reading spectrograms

1.16k views • 85 slides

CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue

CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue. Lecture 5: Intro to ASR+HMMs: Forward, Viterbi, Word Error Rate. Dan Jurafsky. IP Notice:. Outline for Today. Speech Recognition Architectural Overview Hidden Markov Models in general and for speech Forward

974 views • 79 slides

CS 224S LING 281 Speech Recognition and Synthesis

CS 224S LING 281 Speech Recognition and Synthesis. Lecture 15: Dialogue and Conversational Agents (III) Dan Jurafsky. New Idea: Modeling a dialogue system as a probabilistic agent. A conversational agent can be characterized by: The current knowledge of the system

568 views • 42 slides

CS 3870/CS 5870

CS 3870/CS 5870. Note04 Post Back. Page Directives. <%@ Page Language="VB" AutoEventWireup="false" CodeFile="OrderingProduct.aspx.vb" Inherits="Lab2_OrderingProduct" %> AutoEventWireup. Lab 2.

415 views • 30 slides

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