Speaker classification. II, Selected projects

As well as conveying a message in words and sounds, the speech signal carries information about the speaker's own anatomy, physiology, linguistic experience and mental state. These speaker characteristics are found in speech at all levels of description: from the spectral information in the sounds to the choice of words and utterances themselves. This two volume set, LNAI 4343 and LNAI 4441, constitutes a state-of-the-art survey for the field of speaker classification. It approaches the following questions: What characteristics of the speaker become manifest in his or her voice and speaking behavior? Which of them can be inferred from analyzing the acoustic realizations? What can this information be used for? Which methods are the most suitable for diversified problems in this area of research? How should the quality of the results be evaluated? The 22 articles of the second volume comprise a number of selected self-contained papers on research projects in the field of speaker classification. These include among other things a report on a gender recognition system; a study on emotion recognition; a presentation of a text-dependent speaker verification system; an account of the analysis of both speaker and verbal content information - as well as studies on accent identification. Front Matter....Pages - A Study of Acoustic Correlates of Speaker Age....Pages 1-9 The Impact of Visual and Auditory Cues in Age Estimation....Pages 10-21 Development of a Femininity Estimator for Voice Therapy of Gender Identity Disorder Clients....Pages 22-33 Real-Life Emotion Recognition in Speech....Pages 34-42 Automatic Classification of Expressiveness in Speech: A Multi-corpus Study....Pages 43-56 Acoustic Impact on Decoding of Semantic Emotion....Pages 57-69 Emotion from Speakers to Listeners: Perception and Prosodic Characterization of Affective Speech....Pages 70-82 Effects of the Phonological Contents on Perceptual Speaker Identification....Pages 83-92 Durations of Context-Dependent Phonemes: A New Feature in Speaker Verification....Pages 93-103 Language–Independent Speaker Classification over a Far–Field Microphone....Pages 104-115 A Linear-Scaling Approach to Speaker Variability in Poly-segmental Formant Ensembles....Pages 116-129 Sound Change and Speaker Identity: An Acoustic Study....Pages 130-141 Bayes-Optimal Estimation of GMM Parameters for Speaker Recognition....Pages 142-156 Speaker Individualities in Speech Spectral Envelopes and Fundamental Frequency Contours....Pages 157-176 Speaker Segmentation for Air Traffic Control....Pages 177-191 Detection of Speaker Characteristics Using Voice Imitation....Pages 192-205 Reviewing Human Language Identification....Pages 206-228 Underpinning / nailon /: Automatic Estimation of Pitch Range and Speaker Relative Pitch....Pages 229-242 Automatic Dialect Identification: A Study of British English....Pages 243-257 ACCDIST: An Accent Similarity Metric for Accent Recognition and Diagnosis....Pages 258-275 Selecting Representative Speakers for a Speech Database on the Basis of Heterogeneous Similarity Criteria....Pages 276-292 Speaker Classification by Means of Orthographic and Broad Phonetic Transcriptions of Speech....Pages 293-307 Back Matter....Pages -

as Well As Conveying A Message In Words And Sounds, The Speech Signal Carries Information About The Speaker's Own Anatomy, Physiology, Linguistic Experience And Mental State. These Speaker Characteristics Are Found In Speech At All Levels Of Description: From The Spectral Information In The Sounds To The Choice Of Words And Utterances Themselves.

this Two Volume Set, Lnai 4343 And Lnai 4441, Constitutes A State-of-the-art Survey For The Field Of Speaker Classification. It Approaches The Following Questions: What Characteristics Of The Speaker Become Manifest In His Or Her Voice And Speaking Behavior? Which Of Them Can Be Inferred From Analyzing The Acoustic Realizations? What Can This Information Be Used For? Which Methods Are The Most Suitable For Diversified Problems In This Area Of Research? How Should The Quality Of The Results Be Evaluated?

the 22 Articles Of The Second Volume Comprise A Number Of Selected Self-contained Papers On Research Projects In The Field Of Speaker Classification. These Include Among Other Things A Report On A Gender Recognition System; A Study On Emotion Recognition; A Presentation Of A Text-dependent Speaker Verification System; An Account Of The Analysis Of Both Speaker And Verbal Content Information - As Well As Studies On Accent Identification.

As well as conveying a message in words and sounds, the speech signal carries information about the speaker's own anatomy, physiology, linguistic experience and mental state. These speaker characteristics are found in speech at all levels of description: from the spectral information in the sounds to the choice of words and utterances themselves. This volume and its companion volume, LNAI 4441, constitute a state-of-the-art survey for the field of speaker classification. They approach the following questions: What characteristics of the speaker become manifest in his or her voice and speaking behavior? Which of them can be inferred from analyzing the acoustic realizations? What can this information be used for? Which methods are the most suitable for diversified problems in this area of research? How should the quality of the results be evaluated? The 19 contributions to this volume comprise general and overview-like articles that are organized in topical sections on fundamentals, characteristics, applications, methods and features, as well as evaluation This Two-volume Set Constitutes A State-of-the-art Survey In The Field Of Speaker Classification, Addressing Many Critical Questions. The Twenty-two Articles Of The Second Volume Cover A Number Of Areas, Including Gender Recognition Systems, Emotion Recognition, Text-dependent Speaker Verification Systems, An Analysis Of Both Speaker And Verbal Content Information, And Accent Identification.