Speech Recognition

Speech Recognition. Introduction. What is Speech Recognition? - Voice Recognition? Where can it be used? - Dictation - System control/navigation - Commercial/Industrial applications - Hand held digital recorders. Contents:. Continuous/Discrete

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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

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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

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CS 224S

370 views • 26 slides

CS 224S

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

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

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SPEECH PRODUCTION,RECOGNITION, ANALYSIS, AND SYNTHESIS

MUSICAL ACOUSTICS. SPEECH PRODUCTION,RECOGNITION, ANALYSIS, AND SYNTHESIS. Science of Sound, Chapters15 , 16 The Speech Chain, Chapter 4. THE VOCAL ORGANS. VOCAL TRACT WITH SOFT PALATE LOWERED FOR BREATHING. BREATHING AND AIR FLOW.

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LSA 352: Speech Recognition and Synthesis

LSA 352: Speech Recognition and Synthesis. Dan Jurafsky Lecture 1: 1) Overview of Course 2) Refresher: Intro to Probability 3) Language Modeling. IP notice: some slides for today from: Josh Goodman, Dan Klein, Bonnie Dorr, Julia Hirschberg, Sandiway Fong. Outline.

1.11k views • 101 slides

3. SPEECH RECOGNITION, ANALYSIS, AND SYNTHESIS

MUSIC 318 MINI-COURSE ON SPEECH AND SINGING. 3. SPEECH RECOGNITION, ANALYSIS, AND SYNTHESIS. Science of Sound, Chapter 16 The Speech Chain , Chapters 7, 8. SPEECH RECOGNITION.

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3. SPEECH RECOGNITION, ANALYSIS, AND SYNTHESIS

MUSIC 318 MINI-COURSE ON SPEECH AND SINGING. 3. SPEECH RECOGNITION, ANALYSIS, AND SYNTHESIS. Science of Sound, Chapter 16 The Speech Chain, Chapters 7, 8. SPEECH RECOGNITION.

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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

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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

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Application of Speech Recognition, Synthesis, Dialog

Application of Speech Recognition, Synthesis, Dialog. Speech for communication. The difference between speech and language Speech recognition and speech understanding. Speech recognition can only identify words. System does not know what you want System does not know who you are.

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Chapter 28 – Multimedia: Audio, Video, Speech Synthesis and Recognition

Chapter 28 – Multimedia: Audio, Video, Speech Synthesis and Recognition. Outline 28.1 Introduction 28.2 Audio and Video 28.3 Adding Background Sounds with the bgsound Element 28.4 Adding Video with the img Element’s dynsrc Property

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CS774 Topics in Artificial Intelligence —Speech Recognition and Synthesis --

CS774 Topics in Artificial Intelligence —Speech Recognition and Synthesis --. Instructor Yung Hwan Oh (Dept. of CS Room #2404, x3516, yhoh@cs.kaist.ac.kr ) Place & Hour Place ; Dept. of CS Seminar Room ; TBA Hour ; 8:30 ~ 9:45 ( Mon. & Wed.) T/A None Homepage

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LSA 352: Summer 2007. Speech Recognition and Synthesis

LSA 352: Summer 2007. Speech Recognition and Synthesis. Dan Jurafsky. Lecture 2: TTS: Brief History, Text Normalization and Part-of-Speech Tagging.

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LSA 352 Speech Recognition and Synthesis

LSA 352 Speech Recognition and Synthesis. Dan Jurafsky. Lecture 7: Baum Welch/Learning and Disfluencies.

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LSA 352: Speech Recognition and Synthesis

LSA 352: Speech Recognition and Synthesis. Lecture 3: Intro to Festival; Letter-to-Sound Rules Prosody. Dan Jurafsky. IP Notice: lots of info, text, and diagrams on these slides comes (thanks!) from Alan Black’s excellent lecture notes and from Richard Sproat’s great new slides.

1.09k views • 108 slides

LSA 352: Speech Recognition and Synthesis

LSA 352: Speech Recognition and Synthesis. Dan Jurafsky. Lecture 5: Intro to ASR+HMMs: Forward, Viterbi, Baum-Welch. IP Notice:. Outline for Today. Speech Recognition Architectural Overview Hidden Markov Models in general Forward Viterbi Decoding Baum-Wlech Applying HMMs to speech

723 views • 70 slides