Titlebook: Speaker Classification I; Fundamentals, Featur Christian Müller Book 2007 Springer-Verlag Berlin Heidelberg 2007 Acoustics.Information.acou

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Speaker Characteristics and Emotion Classificationion in state-of-the-art modules from two different points of view: first, we focus on a specific phenomenon (irregular phonation or laryngealization) and argue that its inherent multi-functionality and speaker-dependency makes its use as feature in emotion classification less promising than one migh

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Emotions in Speech: Juristic Implicationsgal system. The current states of the art for studies of perception and acoustics are described, and a number of implications for legal contexts are provided. We discuss, inter alia, assessment of emotion in others, witness credibility, forensic investigation, and training of law enforcement officer

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Forensic Automatic Speaker Classification in the “Coming Paradigm Shift”lassical forensic disciplines and the controversy about the admissibility of evidence in courts. Standardization of procedures, proficiency testing, transparency in the scientific evaluation of the evidence and testability of the system and protocols are emphasized in order to guarantee the scientif

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Classification Methods for Speaker Recognitionattern recognition and engineering. In this chapter we provide an overview of the features, models, and classifiers derived from these areas that are the basis for modern automatic speaker recognition systems. We describe the components of state-of-the-art automatic speaker recognition systems, disc

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Multi-stream Fusion for Speaker Classificationical applications. Humans infer a variety of traits, robustly and effortlessly, from available sources of information, which may include vision and gestures in addition to voice. This paper examines techniques for integrating information from multiple sources, which may be broadly categorized into t

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Evaluations of Automatic Speaker Classification Systemsluation of research systems in the speaker classification field. We discuss how these evaluations have developed and been conducted and the performance measures used. We consider the key factors that have been studied for their effect on performance, including training and test durations, channel va