Download Emotion Recognition using Speech Features by K. Sreenivasa Rao PDF

By K. Sreenivasa Rao

“Emotion popularity utilizing Speech good points” presents assurance of emotion-specific gains found in speech. the writer additionally discusses compatible types for shooting emotion-specific details for distinguishing diversified feelings. The content material of this booklet is necessary for designing and constructing average and complicated speech structures. during this short, Drs. Rao and Koolagudi lead a dialogue of the way emotion-specific details is embedded in speech and the way to obtain emotion-specific wisdom utilizing applicable statistical versions. also, the authors offer information regarding exploiting a number of evidences derived from a variety of positive factors and versions. The bought emotion-specific wisdom turns out to be useful for synthesizing feelings. positive aspects contains dialogue of: • worldwide and native prosodic good points at syllable, note and word degrees, important for shooting emotion-discriminative details; • Exploiting complementary evidences received from excitation resources, vocal tract platforms and prosodic positive factors for you to improve the emotion reputation functionality; • Proposed multi-stage and hybrid types for bettering the emotion attractiveness functionality. This short is for researchers operating in components relating to speech-based items corresponding to cellphone production businesses, motor vehicle businesses, and leisure items in addition to researchers all for uncomplicated and utilized speech processing research.

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Additional resources for Emotion Recognition using Speech Features

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These features are referred to as excitation source or simply source features. R. G. 1007/978-1-4614-5143-3 3, © Springer Science+Business Media New York 2013 35 36 3 Emotion Recognition Using Excitation Source Information Epoch is an event representing the instant of glottal closure during the production of voiced speech. The glottal volume velocity (GVV) signal represents the airflow pattern through the glottis. The chapter is organized as follows. Motivation for exploring the excitation source features is discussed in Sect.

Popularity of spectral features 2. The excitation signal (LP residual) obtained from LP analysis is viewed mostly as an error signal [78] or unpredictable components of the predicted speech signal. 3. The LP residual basically contains the higher order relations, and capturing these higher order relations is not well known [79]. It may be difficult to parameterize the LP residual signal, however it contains valid information as it provides primary excitation to the vocal tract system, while producing speech.

Let s[n] denote the input speech signal.

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