By Volker Dellwo, Mark Huckvale, Michael Ashby (auth.), Christian Müller (eds.)
As good as conveying a message in phrases and sounds, the speech sign consists of information regarding the speaker's personal anatomy, body structure, linguistic adventure and psychological nation. those speaker features are present in speech in any respect degrees of description: from the spectral info within the sounds to the alternative of phrases and utterances themselves.
This quantity and its better half quantity, LNAI 4441, represent a state of the art survey for the sphere of speaker category. They technique the subsequent questions: What features of the speaker develop into appear in his or her voice and conversing habit? which ones will be inferred from interpreting the acoustic realizations? What can this knowledge be used for? Which equipment are the main compatible for varied difficulties during this sector of study? How may still the standard of the implications be evaluated?
The 19 contributions to this quantity contain normal and overview-like articles which are geared up in topical sections on basics, features, functions, tools and lines, in addition to evaluation.
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In addition to conveying a message in phrases and sounds, the speech sign includes information regarding the speaker's personal anatomy, body structure, linguistic adventure and psychological nation. those speaker features are present in speech in any respect degrees of description: from the spectral details within the sounds to the alternative of phrases and utterances themselves.
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Extra info for Speaker Classification I: Fundamentals, Features, and Methods
2 More Structured Approaches If you are carrying out a statistical analysis of dinosaur bones when studying the characteristics of those prehistoric creatures, your results will not relate to any real dinosaur bones - let alone real dinosaurs- if you disregard the diﬀerences between bones due to gender, variety, and so on. Equally, if you wish to gather data relevant to classifying speakers, for whatever reason, you need to understand the attributes of speakers relevant to your required classiﬁcation, rather than simply hoping that a genetic algorithm, neural net, Gaussian Mixture Model, or whatever will do the job for you.
The extent we succeed or fail in the task is a measure of the cues to which we learn to pay attention and those we learn to ignore, just as with learning to recognize the sounds of our native language as infants . ” and states that a satisfactory answer is not easy. In his review of automatic speaker veriﬁcation in the same special issue of the IEEE proceedings, Rosenberg ( p 480) says that, for foils, mimicking behavior and learned characteristics is less successful than obtaining a strong physiological correlation, but then quotes an experiment showing that even an identical twin was unable to imitate the enrolled sibling well enough to get accepted by a veriﬁcation system when attempting to foil the system.
A more ambitious goal is to understand the cues and behavior in speech for purposes of synthesis, to create more realistic artiﬁcial agents. ” (from the web site) Such ambition goes beyond the scope of this chapter, but illustrates the directions of research of interest for both speaker classiﬁcation and speech synthesis, and ties together the synthesis of speech, facial expression and body language - a topic that has also been of interest in this author’s lab  and . It also parallels the work at the US Air Force Research Lab in Mesa, Arizona  previously cited.