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Prosodic Interfaces : Interdisciplinary Perspectives on Sound Patterns and Human Interaction.
- Format:
- Book
- Author/Creator:
- Oliveira, Miguel, Jr.
- Series:
- Linguistica Latinoamericana Series
- Linguistica Latinoamericana Series ; v.5
- Language:
- English
- Subjects (All):
- Prosodic analysis (Linguistics).
- Phonetics.
- Physical Description:
- 1 online resource (292 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Berlin/Boston : Walter de Gruyter GmbH, 2025.
- Summary:
- This book explores the interaction between prosody and other research topics, in Brazilian Portuguese and beyond.Written by experts in the field, the contributions present a variety of studies that range from prosodic variation across languages to multimodal analysis of speech acts and common linguistic structures.
- Contents:
- Intro
- Preface
- Contents
- Prosody and L2 Learning Interface: The Case of Spanish L2 and Brazilian Portuguese L1 Intonation
- 1 Introduction
- 2 The Intonation of wh-questions
- 2.1 Spanish and BP L1
- 2.2 Learning wh-questions
- 3 Previous Results
- 4 Goals of the Present Study
- 5 Methodology
- 5.1 Speakers
- 5.2 Speech Material
- 5.3 Analysis Procedure
- 5.4 Statistical Analysis
- 6 Results and Discussion
- 7 Conclusions
- References
- The Role of Prosody in the Processing of Ambiguities in Brazilian Portuguese: A Visual World Paradigm Study
- 2 Background
- 3 Method
- 4 Results
- 4.1 Preferences for NP1 and NP2 Areas Analyzed Together
- 4.1.1 'np1' Segment (NP1 and NP2 Areas)
- 4.1.2 'np2' Segment (NP1 and NP2 Areas)
- 4.1.3 'very' Segment (NP1 and NP2)
- 4.1.4 'adj' Segment (NP1 and NP2)
- 4.1.5 'end' Segment (NP1 and NP2)
- 4.2 Preferences for NP1 Area
- 4.2.1 'very' ('Bastante') Segment
- 4.2.2 'adj' Segment
- 4.2.3 'end' segment
- 4.3 Preferences for NP2 Area
- 4.3.1 'very' ('Bastante') Segment
- 4.3.2 'adj' Segment
- 4.3.3 'end' Segment
- 4.4 Analysis of the 'Area' Factor, by Condition and by Segment
- 5 Discussion and Conclusion
- Defining and Identifying Discourse Markers in Spontaneous Speech: A corpus-based and experimental proposal
- 2 The Problem. Discourse Markers in the Literature
- 3 Our Theoretical Framework
- 4 Different Functions for DMs
- 4.1 Methodological Premise
- 4.2 Functional Distinctions and Formal Correlates for DMs
- 4.2.1 Previous Studies
- 4.2.2 Five Different Interactional DMs
- 4.2.2.1 Incipit
- 4.2.2.2 Conative and Allocutive
- 4.2.2.3 Expressive
- 4.2.2.4 Highlighter
- 5 The Perceptual Experiment
- 5.1 The Data Selection
- 5.2 Dataset of the Experiment
- 5.3 Participants
- 5.4 Paradigm.
- 5.5 Statistical Analysis
- 5.6 Results
- 6 Conclusions &
- Perspectives
- A Contribution to a Better Understanding of Silent Pause
- 1 What the Literature Says
- 2 The Role of Pause in the Perception of Prosodic Boundaries
- 3 Investigation of Pause Perception
- 3.1 Data for Pause Perception Task
- 3.2 Annotators, Task Instructions and Agreement
- 3.3 Analysis of the Minimal Duration for Perceived Pause
- 3.4 Factors Potentially Responsible for Pause Perception
- 3.4.1 The Analysis Results
- 3.5 General Discussion
- Perceptual and Physiological Correlates of Voice Quality Settings
- 2 Literature Review - State of the Art Dialogue
- 2.1 Theoretical Basis of the Phonetic Description of Voice Quality Model and the VPAS Instrument
- 2.2 Overview of Research on Voice Quality
- 3 Methods
- 3.1 Ethics Committee
- 3.2 Research Corpus Composition
- 3.3 Data Collection Procedures
- 3.4 Data Analysis Procedures
- 4 Results and Discussion
- 4.1 Auditory Vocal Profiles
- 4.2 Visual Mapping of VQSs Influences: Ultrasound Tongue Images of Key Segments for Phonetic Evaluation of Voice Qualities
- 5 Conclusions
- Multimodal Analysis of Speech Attractiveness Expression
- 2 On Charisma and Vocal Prosody
- 3 On Charisma and Visual Prosody
- 4 Material and Method
- 4.1 Corpus
- 4.2 The Research Subject
- 4.3 Methodological Procedures
- 4.4 Perceptual-Semantic Analysis
- 4.5 Acoustic Analysis
- 4.6 Perceptual Voice Quality Analysis
- 4.7 Facial Expression Analysis
- 4.8 Statistical Analysis
- 5 Results
- 5.1 Perceptual-Semantic Test Results
- 5.2 Perceptual Voice Quality Analysis Results
- 5.3 Facial Expression Analysis Results
- 5.4 Acoustic Analysis Results
- 5.5 Statistical Results on the Automatic Acoustic and Automated Facial Analysis.
- 6 Discussion
- 7 Final Comments
- Appendix 1 Perceptual-Semantic Test
- Appendix 2 VPA (Laver and Mackenzie Beck, 2007)
- Posture and Gestures Can Affect the Prosodic Speaker Impact in a Remote Presentation
- 1.1 Speech Communication in Video Calls: Uncharted Territory
- 1.2 Nonverbal Communication Signals in Video Calls
- 1.2.1 Knowledge Gap 1: Use of Gestures
- 1.2.2 Knowledge Gap 2: The Prosody-Gesture Link
- 1.2.3 Knowledge Gap 3: Posture and Its Influence on Gestures and Prosodies
- 1.3 Motivation, Aim and Questions
- 2 Method
- 2.1 Speakers and Language
- 2.2 Speech Material
- 2.3 Elicitation Procedure and Independent Variable Body
- 2.4 Gesture Analysis and Dependent Variable Gesture Count
- 2.5 Prosodic Analysis
- 2.5.1 Parameters and Dependent Variables Related to Rhythm
- 2.5.2 Parameters and Dependent Variables Related to Intonation and Voice
- 2.6 Inferential Statistics
- 3 Results
- 3.1 Gestures
- 3.2 Rhythm
- 3.3 Intonation and Voice
- 4 Discussion
- An Acoustic Analysis of Creaky Voice Patterns in Singing
- 2 The Definitions of Creaky Voice and Vocal Fry
- 3 One Single Definition of Creakiness
- 4 The Distinction Between Creaky Voice and Vocal Fry
- 5 Five Different Types of Creaky Voice
- 6 Examples of Vocal Fry and Creaky Voice
- 7 Analysis of Creaky Voice and Vocal Fry in Singing
- 8 Conclusion
- Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person
- 2 Related Work
- 2.1 Punctuation Prediction: Approaches, Datasets, Features, Evaluation Metrics and Results
- 2.2 Transcript-based Video Topic Modeling
- 3 OpenAI's Whisper
- 3.1 Whisper Features
- 3.2 Illustrating the Use of Whisper for Punctuation Prediction in Portuguese.
- 4 Experimental Setup
- 4.1 Evaluation Dataset
- 4.2 Data Preparation
- 4.2.1 Data Preparation for Punctuation Analysis
- 4.2.2 Data Preparation for Transcript-based Video Topic Modeling
- 5 Results and Discussion
- 5.1 Results for Punctuation Prediction
- 5.2 Results for Transcript-based Video Topic Modeling
- 6 Conclusions and Future Work
- Index.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 9783111060309
- OCLC:
- 1534402783
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