Automatic Speech Classification To Five

4 hours ago Emotional speech recognition aims to automatically classify speech units (e.g., utterances) into emotional states, such as anger, happiness, neutral, sadness and surprise. The major contribution of this paper is to rate the discriminating capability of a set of features for emotional speech recognition when gender information is taken into consideration. A total of 87 features has …

Author: Dimitrios Ververidis, Constantine Kotropoulos
Publish Year: 2004

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4 hours ago Emotional speech recognition aims to automatically classify speech units (e.g., utterances) into emotional states, such as anger, …

Estimated Reading Time: 4 mins

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Just Now Corpus ID: 5029636; Automatic speech classification to five emotional states based on gender information @article{Ververidis2004AutomaticSC, title={Automatic speech classification to five emotional states based on gender information}, author={Dimitrios Ververidis and Constantine Kotropoulos}, journal={2004 12th European Signal Processing Conference}, year={2004}, …

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9 hours ago "Automatic Speech Classification To Five Emotional States Based On Gender Information." Zenodo (2004) MLA; Harvard; CSL-JSON; BibTeX; Internet Archive. We are a US 501(c)(3) non-profit library, building a global archive of Internet sites and other cultural artifacts in digital form.

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Just Now - "Automatic speech classification to five emotional states based on gender information" Table 3: Confusion matrix of a Bayes classifier applied to utterances of female subjects. The result is a 57.1% correct classification rate.

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5 hours ago Automatic emotional speech classification Published in: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing Article #: Date of Conference: 17-21 May 2004 Date Added to IEEE Xplore: 30 August 2004 ISBN Information: Print ISBN: 0-7803-8484-9 ISSN Information: Print ISSN: 1520-6149 INSPEC Accession Number: …

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7 hours ago AUTOMATIC SPEECH CLASSIFICATION TO FIVE EMOTIONAL STATES BASED ON GENDER INFORMATION Dimitrios Ververidis and Constantine Kotropoulos Artificial Intelligence and Information Analysis Laboratory Department of Informatics, Aristotle Univ. of Thessaloniki Box 451, Thessaloniki 541 24, Greece E-mail: jimver, costas @zeus.csd.auth.gr ABSTRACT …

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5 hours ago Emotional speech recognition aims to automatically classify speech units (e.g., utterances) into emotional states, such as anger, happiness, neutral, sadness and surprise.

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8 hours ago Our purpose is to design a useful tool which can be used in psychology to automatically classify utterances into five emotional states such as anger, happiness, neutral, sadness, and surprise. The major contribution of the paper is to rate the discriminating capability of a set of features for emotional speech recognition. A total of 87 features has been calculated over 500 utterances …

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