Speaker Classification II Selected Papers

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 sou...

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Bibliographic Details
Other Authors: Müller, C. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2007, 2007
Edition:1st ed. 2007
Series:Lecture Notes in Artificial Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • A Study of Acoustic Correlates of Speaker Age
  • The Impact of Visual and Auditory Cues in Age Estimation
  • Development of a Femininity Estimator for Voice Therapy of Gender Identity Disorder Clients
  • Real-Life Emotion Recognition in Speech
  • Automatic Classification of Expressiveness in Speech: A Multi-corpus Study
  • Acoustic Impact on Decoding of Semantic Emotion
  • Emotion from Speakers to Listeners: Perception and Prosodic Characterization of Affective Speech
  • Effects of the Phonological Contents on Perceptual Speaker Identification
  • Durations of Context-Dependent Phonemes: A New Feature in Speaker Verification
  • Language–Independent Speaker Classification over a Far–Field Microphone
  • A Linear-Scaling Approach to Speaker Variability in Poly-segmental Formant Ensembles
  • Sound Change and Speaker Identity: An Acoustic Study
  • Bayes-Optimal Estimation of GMM Parameters for Speaker Recognition
  • Speaker Individualities in Speech Spectral Envelopes and Fundamental Frequency Contours
  • Speaker Segmentation for Air Traffic Control
  • Detection of Speaker Characteristics Using Voice Imitation
  • Reviewing Human Language Identification
  • Underpinning /nailon/: Automatic Estimation of Pitch Range and Speaker Relative Pitch
  • Automatic Dialect Identification: A Study of British English
  • ACCDIST: An Accent Similarity Metric for Accent Recognition and Diagnosis
  • Selecting Representative Speakers for a Speech Database on the Basis of Heterogeneous Similarity Criteria
  • Speaker Classification by Means of Orthographic and Broad Phonetic Transcriptions of Speech