Speaker Classification II: Selected Papers / Edition 1

by C. Mïller

Overview

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.

Product Details

ISBN-13:	9783540741213
Publisher:	Springer Berlin Heidelberg
Publication date:	09/14/2007
Series:	Lecture Notes in Computer Science , #4441
Edition description:	2007
Pages:	307
Product dimensions:	6.00(w) x 9.30(h) x 0.80(d)

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.