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  • Produktbild: Computing PROSODY
  • Produktbild: Computing PROSODY
  • Produktbild: Computing PROSODY

Computing PROSODY Computational Models for Processing Spontaneous Speech

Fr. 149.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.09.2011

Herausgeber

Yoshinori Sagisaka + weitere

Verlag

Springer Us

Seitenzahl

401

Maße (L/B/H)

23.5/15.5/2.3 cm

Gewicht

662 g

Auflage

Softcover reprint of the original 1st ed. 1997

Sprache

Englisch

ISBN

978-1-4612-7476-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.09.2011

Herausgeber

Verlag

Springer Us

Seitenzahl

401

Maße (L/B/H)

23.5/15.5/2.3 cm

Gewicht

662 g

Auflage

Softcover reprint of the original 1st ed. 1997

Sprache

Englisch

ISBN

978-1-4612-7476-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Computing PROSODY
  • Produktbild: Computing PROSODY
  • Produktbild: Computing PROSODY
  • Preface.- Contributors.- I The Prosody of Spontaneous Speech.- 1 Introduction to Part I.- 1.1 Naturalness and Spontaneous Speech.- References.- 2 A Typology of Spontaneous Speech.- 2.1 Introduction.- 2.2 Some Prosodic Phenomena.- 2.3 Types of Spontaneous Speech Recordings.- References.- 3 Prosody, Models, and Spontaneous Speech.- 3.1 What is Prosody? Its Nature and Function.- 3.2 Prosody in the Production of Spontaneous Speech.- 3.3 Role of Generative Models.- 3.4 A Generative Model for the F0 Contour of an Utterance of Japanese.- 3.5 Units of Prosody of the Spoken Japanese.- 3.6 Prosody of Spontaneous Speech.- References.- 4 On the Analysis of Prosody in Interaction.- 4.1 Introduction.- 4.2 Background Work.- 4.3 Goal and Methodology.- 4.4 Prosody in Language Technology.- 4.5 Analysis of Discourse and Dialogue Structure.- 4.6 Prosodic Analysis.- 4.6.1 Auditory Analysis.- 4.6.2 The Intonation Model.- 4.6.3 Acoustic-phonetic Analysis.- 4.7 Speech Synthesis.- 4.7.1 Model-based Resynthesis.- 4.7.2 Text-to-speech.- 4.8 Tentative Findings.- 4.9 Final Remarks.- References.- II Prosody and the Structure of the Message.- 5 Introduction to Part II.- 5.1 Prosody and the Structure of the Message.- References.- 6 Integrating Prosodic and Discourse Modelling.- 6.1 Introduction.- 6.2 Modelling Attentional State.- 6.3 Accent and Attentional Modelling.- 6.3.1 Principles.- 6.3.2 Algorithms.- 6.4 Related Work.- References.- 7 Prosodic Features of Utterances in Task-Oriented Dialogues.- 7.1 Introduction.- 7.2 Speech Data Collection.- 7.3 Framework for Analysis.- 7.4 Topic Structure and Utterance Pattern.- 7.4.1 Topic Shifting and Utterance Relation.- 7.4.2 Dialogue Structure and Pitch Contour.- 7.4.3 Topic Shifting and Utterance Pattern.- 7.4.4 Topic Shifting and Utterance Duration.- 7.5 Summary and Application.- 7.5.1 Summary of Results.- 7.5.2 Prosodic Parameter Generation.- References.- 8 Variation of Accent Prominence within the Phrase: Models and Spontaneous Speech Data.- 8.1 Introduction.- 8.2 F0 and Variation of Accent Prominence.- 8.2.1 Intrinsic Prominence of Single Accents.- 8.2.2 Relative Prominence of Successive Accents.- 8.2.3 Discussion.- 8.3 Variation of Accent Prominence in Spontaneous Speech..- 8.3.1 Introduction.- 8.3.2 Method.- 8.3.3 Data Analysis.- 8.3.4 Results and Discussion.- 8.3.5 Limitations.- References.- 9 Predicting the Intonation of Discourse Segments from Examples in Dialogue Speech.- 9.1 Introduction.- 9.2 Modelling Discourse Intonation.- 9.3 Analysis with ToBI Labels.- 9.4 Analysis with Tilt Labels.- 9.5 Discussion.- 9.6 Summary.- References.- 10 Effects of Focus on Duration and Vowel Formant Frequency in Japanese.- 10.1 Introduction.- 10.1.1The Aim of the Study.- 10.1.2Accent and Focus in Japanese.- 10.2 Experimental Setting.- 10.3 Results of Acoustic Analysis.- 10.3.1 F0 Peaks.- 10.3.2Utterance Duration.- 10.3.3 Formant Frequencies.- 10.3.4 Target Vowels.- 10.3.5 Context Vowels.- 10.4 Discussion.- 10.4.1 Duration.- 10.4.2 Target Vowels.- 10.4.3 Context Vowels.- References.- III Prosody in Speech Synthesis.- 11 Introduction to Part III.- 11.1 No Future for Comprehensive Models of Intonation?.- 11.2 Learning from Examples.- 11.2.1 The Reference Corpus.- 11.2 2 Labelling the Corpus.- 11.2 3 The Sub-Symbolic Paradigm: Training an Associator.- 11.2.4 The Morphological Paradigm.- References.- 12 Synthesizing Spontaneous Speech.- 12.1 Introduction.- 12.1.1 Synthesizing Speech.- 12.1.2 Natural Speech.- 12.2Spontaneous Speech.- 12.2.1 Spectral Correlates of Prosodie Variation.- 12.3 Labelling Speech.- 12.3.1 Automated Segmental Labelling.- 12.3.2 Automating Prosodie Labelling.- 12.3.3 Labelling Interactive Speech.- 12.4 Synthesis in CHATR.- 12.5 Summary.- References.- 13 Modelling Prosody in Spontaneous Speech.- 13.1 Introduction.- 13.2 A Prosodie Phonology of German: The Kiel Intonation Model (KIM).- 13.2.1 The Categories of the Model and its General Structure.- 13.2.2 Lexical and Sentence Stress.- 13.2.3 Intonation.- 13.2.4 Prosodie Boundaries.- 13.2.5 Speech Rate.- 13.2.6 Register Change.- 13.2.7 Dysfluencies.- 13.3 A TTS Implementation of the Model as a Prosody Research Tool.- 13.4 The Analysis of Spontaneous Speech.- 13.4.1 PROLAB: A KIM-based Labelling System.- 13.4.2 Transcription Verification and Model Elaboration.- References.- 14 Comparison of F0 Control Rules Derived from Multiple Speech Databases.- 14.1 Introduction.- 14.2 Derivation of F0 Control Rules and Their Comparison.- 14.2.1 Overview of the Rule Derivation Procedure.- 14.2.2 F0 Contour Decomposition.- 14.2.3 Statistical Rule Derivation.- 14.3 Experiments of F0 Control Rule Derivation and Their Comparison.- 14.3.1 Speech Data and Conditions of Parameter Extraction.- 14.3.2 Linguistic Factors For the Control Rules.- 14.4 Results.- 14.4.1 The Accuracy of the F0 Control Rules.- 14.4.2 Comparison of F0 Control Rules Among Multi-Speakers.- 14.4.3 Differences ofF0 Control Rules Between Different Speech Rates.- 14.5 Summary.- References.- 15 Segmental Duration and Speech Timing.- 15.1 Introduction.- 15.1.1 Modelling of Speech Timing.- 15.1.2 Goals of this Chapter.- 15.2 Template Based Timing: Path Equivalence.- 15.3 Measuring Subsegmental Effects.- 15.3.1 Trajectories, Time Warps, and Expansion Profiles.- 15.3.2 Preliminary Results.- 15.3.3 Modelling Time Warp Functions.- 15.4 Syllabic Timing vs Segmental Timing.- 15.4.1 The Concept of Syllabic Timing.- 15.4.2 Testing Segmental Independence.- 15.4.3 Testing Syllabic Mediation.- 15.4.4 Syllabic Timing: Conclusions.- 15.5 Timing of Pitch Contours.- 15.5.1 Modelling Segmental Effects on Pitch Contours: Initial Approach.- 15.5.2 Alignment Parameters and Time Warps.- 15.5.3 Modelling Segmental Effects on Pitch Contours: A Complete Model.- 15.5.4 Summary.- References.- 16 Measuring temporal compensation effect in speech perception.- 16.1 Introduction.- 16.1.1 Processing Range in Time Perception of Speech..- 16.1.2 Contextual Effect on Perceptual Salience of Temporal Markers.- 16.2 Experiment 1—Acceptability Rating.- 16.2.1 Method.- 16.2.2 Results and Discussion.- 16.3 Experiment 2—Detection Test.- 16.3.1 Method.- 16.3.2 Results and Discussion.- References.- 17 Prediction of Major Phrase Boundary Location and Pause Insertion Using a Stochastic Context-free Grammar.- 17.1 Introduction.- 17.2 Models for the Prediction of Major Phrase Boundary Locations and Pause Locations.- 17.2.1 Speech Data.- 17.2.2 Learning Major Phrase Boundary Locations and Pause Locations Using a SCFG.- 17.2.3 Computation of Parameters for the Prediction Using a SCFG.- 17.2.4 Prediction Model Using a Neural Network..- 17.3 Experiments.- 17.3.1 Learning the SCFG.- 17.3.2 Accuracy of the Prediction.- References.- IV Prosody in Speech Recognition.- 18 Introduction to Part IV.- 18.1 The Beginnings of Understanding.- 19 A Multi-level Model for Recognition of Intonation Labels.- 19.1 Introduction.- 19.2 Tone Label Model.- 19.2.1 Multi-level Model.- 19.2.2 Acoustic Models.- 19.2.3 Phonotactic Models.- 19.3 Recognition Search.- 19.4 Experiments.- 19.5 Discussion.- References.- 20 Training Prosody-Syntax Recognition Models without Prosodic Labels.- 20.1 Introduction.- 20.2 Speech Data and Analysis.- 20.2.1 Speech Data.- 20.2.2 Acoustic Feature Set.- 20.2.3 Syntactic Feature Set.- 20.3 Prosody-Syntax Models.- 20.3.1 Background.- 20.3.2 Break Index Linear Regression Model.- 20.3.3 CCA Model.- 20.3.4 LDA Model.- 20.4 Results and Analysis.- 20.4.1 Criterion 1: Resolving Syntactic Ambiguities.- 20.4.2 Criterion 2: Correlation of Acoustic and Syntactic Domains.- 20.4.3 Criterion 3: Internal Model Characteristics.- 20.5 Discussion.- References.- 21 Disambiguating Recognition Results by Prosodic Features.- 21.1 Introduction.- 21.2 Outline of the Method.- 21.2.1 Model for the F0 Contour Generation.- 21.2.2 Partial Analysis-by-synthesis.- 21.3 Experiments on the Detection of Recognition Errors.- 21.4 Performance in the Detection of Phrase Boundaries.- References.- 22 Accent Phrase Segmentation by F0 Clustering Using Superpositional Modelling.- 22.1 Introduction.- 22.2 Outline of Prosodic Segmentation System.- 22.3 Training of F0 Templates.- 22.3.1 Modelling of Minor Phrase Patterns.- 22.3.2 Clustering of Minor Phrase Patterns.- 22.4 Prosodic Phrase Segmentation.- 22.4.1 One-Stage DP Matching under a Constraint of the F0 Generation Model.- 22.4.2 N-best Search.- 22.5 Evaluation of Segmentation System.- 22.5.1 Experimental Condition.- 22.5.2 Results.- References.- 23 Prosodic Modules for Speech Recognition and Understanding in VERBMOBIL.- 23.1 What Can Prosody Do for Automatic Speech Recognition and Understanding?.- 23.2 A Few Words About VERBMOBIL.- 23.3 Prosody Module for the VERBMOBIL Research Prototype.- 23.3.1 Work on Read Speech.- 23.3.2 Work on Spontaneous Speech.- 23.4 Interactive Incremental Module.- 23.4.1 F0 Interpolation and Decomposition.- 23.4.2 Detecting Accents and Phrase Boundaries, and Determining Sentence Mode.- 23.4.3 Strategies for Focal Accent Detection.- References.- Author Index.- Citation Index.