Computational paralinguistics: emotion, affect and personality in speech and language processing
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Chichester
Wiley
2014
|
Ausgabe: | 1. ed. |
Schlagworte: | |
Online-Zugang: | Cover image Inhaltsverzeichnis Klappentext |
Beschreibung: | XXI, 321 S. graph. Darst. |
ISBN: | 9781119971368 |
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650 | 4 | |a Datenverarbeitung | |
650 | 4 | |a Psycholinguistics |x Data processing | |
650 | 4 | |a Linguistic models |x Data processing | |
650 | 4 | |a Paralinguistics | |
650 | 4 | |a Language and emotions | |
650 | 4 | |a Speech processing systems | |
650 | 4 | |a Human-computer interaction | |
650 | 4 | |a Emotive (Linguistics) | |
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Datensatz im Suchindex
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adam_text |
Contents
Preface
xiii
Acknowledgements
xv
List of Abbreviations
xvii
Part I Foundations
1
Introduction
3
1.1
What is Computational Paralinguistics? A First Approximation
3
1.2
History and Subject Area
7
1.3
Form versus Function
10
1.4
Further Aspects
12
1.4.1
The Synthesis of Emotion and Personality
12
1.4.2
Multimodality: Analysis and Generation
13
1.4.3
Applications, Usability and Ethics
15
1.5
Summary and Structure of the Book
17
References
18
2
Taxonomies
21
2.1
Traits versus States
21
2.2
Acted versus Spontaneous
25
2.3
Complex versus Simple
30
2.4
Measured versus Assessed
31
2.5
Categorical versus Continuous
33
2.6
Felt versus Perceived
35
2.7
Intentional versus Instinctual
37
2.8
Consistent versus Discrepant
38
2.9
Private versus Social
39
2.10
Prototypical versus Peripheral
40
2.11
Universal versus Culture-Specific
41
2.12
Unimodal versus
Multimodal 43
2.13
All These Taxonomies
-
So What?
44
2.13.1
Emotion Data: The FAU AEC
45
2.13.2
Non-native Data: The C-AuDiT corpus
47
References
48
viii Contents
3
Aspects
of Modelling
53
3.1
Theories and Models of Personality
53
3.2
Theories and Models of Emotion and Affect
55
3.3
Type and Segmentation of Units
58
3.4
Typical versus Atypical Speech
60
3.5
Context
61
3.6
Lab versus Life, or Through the Looking Glass
62
3.7
Sheep and Goats, or Single Instance Decision versus Cumulative Evidence
and Overall Performance
64
3.8
The Few and the Many, or How to Analyse a Hamburger
65
3.9
Reifications, and What You are Looking for is What You Get
67
3.10
Magical Numbers versus Sound Reasoning
68
References
74
4
Formal Aspects
79
4.1
The Linguistic Code and Beyond
79
4.2
The Non-Distinctive Use of Phonetic Elements
81
4.2.1
Segmental
Level: The Case of/r/Variants
81
4.2.2 Suprasegmental
Level: The Case of Pitch and Fundamental
Frequency
-
and of Other
Prosodie
Parameters
82
4.2.3
In Between: The Case of Other Voice Qualities, Especially
Laryngealisation
86
4.3
The Non-Distinctive Use of Linguistics Elements
91
43
Λ
Words and Word Classes
91
4.3.2
Phrase Level: The Case of Filler Phrases and Hedges
94
4.4
Disfluencies
96
4.5
Non-
Verbal, Vocal Events
98
4.6
Common Traits of Formal Aspects
100
References
101
5
Functional Aspects
107
5.1
Biological Trait Primitives
109
5.1.1
Speaker Characteristics 111
5.2
Cultural Trait Primitives
112
5.2.7
Speech Characteristics
114
5.3
Personality
115
5.4
Emotion and Affect
119
5.5
Subjectivity and Sentiment Analysis
123
5.6
Deviant Speech
124
5.6.1
Pathological Speech
125
5.6.2
Temporarily Deviant Speech
129
5.6.3
Non-native Speech
130
5.7
Social Signals
131
5.8
Discrepant Communication
135
5.8.1
Indirect Speech, Irony, and Sarcasm
136
5.8.2
Deceptive Speech
138
5.8.3
Off-Talk
139
Contents ix
5.9
Common
Traits
of Functional
Aspects
140
References
141
6
Corpus Engineering
159
6.1
Annotation
160
6.1.1
Assessment of Annotations
161
6.12
New Trends
164
6.2
Corpora and Benchmarks: Some Examples
164
6.2.1
FAU Aibo Emotion Corpus
165
6.2.2
aGender Corpus
165
6.2.3
TUM
AVIC Corpus
166
6.2.4
Alcohol Language Corpus
168
6.2.5
Sleepy Language Corpus
168
6.2.6
Speaker Personality Corpus
169
6.2.7
Speaker Likability Database
170
6.2.8
NKICCRTSpeech Corpus 111
6.2.9
TIMIT
Database 111
6.2.10
Final Remarks on Databases
172
References
173
Part II Modelling
7
Computational Modelling of Paralinguistics: Overview
179
References
183
185
185
187
190
190
190
191
192
194
198
202
203
205
207
212
214
214
217
217
218
8
Acoustic Features
8.1
Digital Signal Representation
8.2
Short Time Analysis
8.3
Acoustic Segmentation
8.4
Continuous Descriptors
8.4.1
Intensity
8.4.2
Zero Crossings
8.4.3
Autocorrelation
8.4.4
Spectrum and Cepstrum
8.4.5
Linear Prediction
8.4.6
Line Spectral Pairs
8.4.7
Perceptual Linear Prediction
8.4.8
Formants
8.4.9
Fundamental Frequency and Voicing Probability
8.4.10
Jitter and Shimmer
8.4.11
Derived Low-Level Descriptors
References
9
Linguistic Features
9.1
Textual Descriptors
9.2
Preprocessing
Contents
9.3
Reduction
218
9.3.1
Stopping
218
9.3.2
Stemming
219
9.3.3
Tagging
219
9.4
Modelling
220
9.4.1
Vector Space Modelling
220
9.4.2
On-line Knowledge
222
References
227
10
Supra-segmental Features
230
10.1
Functionals
231
10.2
Feature Brute-Forcing
232
10.3
Feature Stacking
233
References
234
11
Machine-Based Modelling
235
11.1
Feature Relevance Analysis
235
11.2
Machine Learning
238
11.2.1
Static Classification
238
11.2.2
Dynamic Classification: Hidden Markov Models
256
11.2.3
Regression
262
11.3
Testing Protocols
264
11.3.1
Partitioning
264
11.3.2
Balancing
266
11.3.3
Performance Measures
267
11.3.4
Result Interpretation
272
References
277
12
System Integration and Application
281
12.1
Distributed Processing
281
12.2
Autonomous and Collaborative Learning
284
12.3
Confidence Measures
286
References
287
13
'Hands-On': Existing Toolkits and Practical Tutorial
289
13.1
Related Toolkits
289
13.2
openSMILE
290
13.2.1
Available Feature Extractors
293
13.3
Practical Computational Paralinguistics How-to
294
13.3.1
Obtaining and Installing openSMILE
295
13.3.2
Extracting Features
295
13.3.3
Classification and Regression
302
References
303
14
Epilogue
304
Contents xi
Appendix 307
Α.
1 openSMILE Feature
Sets Used at
Interspeech
Challenges
307
Α.
2 Feature
Encoding Scheme
3
Ю
References
314
Index
315
This book presents the methods, tools and techniques that are currently being used
to recognise (automatically) the affect, emotion, personality and everything else beyond
linguistics ('paralinguistics') expressed by or embedded in human speech and language.
It is the first book to provide such a systematic survey of paralinguistics in speech and
language processing, The technology described has evolved mainly from automatic
speech and speaker recognition and processing, but also takes into account recent
developments within speech signal processing, machine intelligence and data mining.
Moreover, the book offers a hands-on approach by integrating actual data sets, software,
and open-source utilities which will make the book invaluable as a teaching tool and
similarly useful for those professionals already in the field.
Key features:
•
Provides an integrated presentation of basic research (in phonetics/linguistics
and humanities) with state-of-the-art engineering approaches for speech signal
processing and machine intelligence.
•
Explains the history and state of the art of all of the sub-fields which contribute
to the topic of computational paralinguistics.
•
Covers the signal processing and machine learning aspects of the actual
computational modelling of emotion and personality and explains the detection
process from corpus collection to feature extraction and from model testing to
system integration.
•
Details aspects of real-world system integration including distribution, weakly
supervised learning and confidence measures.
•
Outlines machine learning approaches including static, dynamic and
context-sensitive algorithms for classification and regression.
•
Includes a tutorial on freely available toolkits, such as the open-source 'openEAR'
toolkit for emotion and affect recognition co-developed by one of the authors,
and a listing of standard databases and feature sets used in the field to allow for
immediate experimentation enabling the reader to build an emotion detection
model on an existing corpus. |
any_adam_object | 1 |
author | Schuller, Björn 1975- |
author_GND | (DE-588)131871706 (DE-588)170762440 |
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callnumber-subject | P - Philology and Linguistics |
classification_rvk | ES 172 ST 306 |
classification_tum | ELT 533f |
ctrlnum | (OCoLC)867160235 (DE-599)BVBBV041465403 |
dewey-full | 401/.90285 |
dewey-hundreds | 400 - Language |
dewey-ones | 401 - Philosophy and theory |
dewey-raw | 401/.90285 |
dewey-search | 401/.90285 |
dewey-sort | 3401 590285 |
dewey-tens | 400 - Language |
discipline | Sprachwissenschaft Informatik Elektrotechnik Literaturwissenschaft |
edition | 1. ed. |
format | Book |
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id | DE-604.BV041465403 |
illustrated | Illustrated |
indexdate | 2024-08-21T00:49:16Z |
institution | BVB |
isbn | 9781119971368 |
language | English |
lccn | 2013019325 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026911667 |
oclc_num | 867160235 |
open_access_boolean | |
owner | DE-20 DE-12 DE-739 DE-29T DE-91 DE-BY-TUM DE-384 |
owner_facet | DE-20 DE-12 DE-739 DE-29T DE-91 DE-BY-TUM DE-384 |
physical | XXI, 321 S. graph. Darst. |
publishDate | 2014 |
publishDateSearch | 2014 |
publishDateSort | 2014 |
publisher | Wiley |
record_format | marc |
spelling | Schuller, Björn 1975- Verfasser (DE-588)131871706 aut Computational paralinguistics emotion, affect and personality in speech and language processing Björn W. Schuller ; Anton M. Batliner 1. ed. Chichester Wiley 2014 XXI, 321 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Datenverarbeitung Psycholinguistics Data processing Linguistic models Data processing Paralinguistics Language and emotions Speech processing systems Human-computer interaction Emotive (Linguistics) Computational linguistics Sprachanalyse (DE-588)4129916-4 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 gnd rswk-swf Taxonomie (DE-588)4184546-8 gnd rswk-swf Paralinguistik (DE-588)4164803-1 gnd rswk-swf Sprachverarbeitung (DE-588)4116579-2 gnd rswk-swf Korpus Linguistik (DE-588)4165338-5 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Paralinguistik (DE-588)4164803-1 s Sprachverarbeitung (DE-588)4116579-2 s DE-604 Computerlinguistik (DE-588)4035843-4 s Taxonomie (DE-588)4184546-8 s Natürliche Sprache (DE-588)4041354-8 s Korpus Linguistik (DE-588)4165338-5 s Sprachanalyse (DE-588)4129916-4 s Batliner, Heinz ca. 20.-21. Jahrhundert Sonstige (DE-588)170762440 oth http://catalogimages.wiley.com/images/db/jimages/9781119971368.jpg Cover image Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026911667&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026911667&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
spellingShingle | Schuller, Björn 1975- Computational paralinguistics emotion, affect and personality in speech and language processing Datenverarbeitung Psycholinguistics Data processing Linguistic models Data processing Paralinguistics Language and emotions Speech processing systems Human-computer interaction Emotive (Linguistics) Computational linguistics Sprachanalyse (DE-588)4129916-4 gnd Natürliche Sprache (DE-588)4041354-8 gnd Taxonomie (DE-588)4184546-8 gnd Paralinguistik (DE-588)4164803-1 gnd Sprachverarbeitung (DE-588)4116579-2 gnd Korpus Linguistik (DE-588)4165338-5 gnd Computerlinguistik (DE-588)4035843-4 gnd |
subject_GND | (DE-588)4129916-4 (DE-588)4041354-8 (DE-588)4184546-8 (DE-588)4164803-1 (DE-588)4116579-2 (DE-588)4165338-5 (DE-588)4035843-4 |
title | Computational paralinguistics emotion, affect and personality in speech and language processing |
title_auth | Computational paralinguistics emotion, affect and personality in speech and language processing |
title_exact_search | Computational paralinguistics emotion, affect and personality in speech and language processing |
title_full | Computational paralinguistics emotion, affect and personality in speech and language processing Björn W. Schuller ; Anton M. Batliner |
title_fullStr | Computational paralinguistics emotion, affect and personality in speech and language processing Björn W. Schuller ; Anton M. Batliner |
title_full_unstemmed | Computational paralinguistics emotion, affect and personality in speech and language processing Björn W. Schuller ; Anton M. Batliner |
title_short | Computational paralinguistics |
title_sort | computational paralinguistics emotion affect and personality in speech and language processing |
title_sub | emotion, affect and personality in speech and language processing |
topic | Datenverarbeitung Psycholinguistics Data processing Linguistic models Data processing Paralinguistics Language and emotions Speech processing systems Human-computer interaction Emotive (Linguistics) Computational linguistics Sprachanalyse (DE-588)4129916-4 gnd Natürliche Sprache (DE-588)4041354-8 gnd Taxonomie (DE-588)4184546-8 gnd Paralinguistik (DE-588)4164803-1 gnd Sprachverarbeitung (DE-588)4116579-2 gnd Korpus Linguistik (DE-588)4165338-5 gnd Computerlinguistik (DE-588)4035843-4 gnd |
topic_facet | Datenverarbeitung Psycholinguistics Data processing Linguistic models Data processing Paralinguistics Language and emotions Speech processing systems Human-computer interaction Emotive (Linguistics) Computational linguistics Sprachanalyse Natürliche Sprache Taxonomie Paralinguistik Sprachverarbeitung Korpus Linguistik Computerlinguistik |
url | http://catalogimages.wiley.com/images/db/jimages/9781119971368.jpg http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026911667&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026911667&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT schullerbjorn computationalparalinguisticsemotionaffectandpersonalityinspeechandlanguageprocessing AT batlinerheinz computationalparalinguisticsemotionaffectandpersonalityinspeechandlanguageprocessing |