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    <name>Article</name>
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          <name>Title</name>
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              <text>A concise and effectual method for neutral pitch identification in stuttered speech</text>
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              <text>neutral pitch; speech emotion recognition; stuttered speech</text>
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              <text>Researchers have studied that human-computer interactions (HCIs) can be more effective only when machines understand the emotions conveyed in speech. Speech emotion recognition has seen growing interest in research due to its usefulness in different applications. Building a neutral speech model becomes an important and challenging task as it can help in identifying different emotions from stuttered speech. This paper suggests two different approaches for identifying neutral pitch from stuttered speech. The implementation has proved through its accuracy the best model that can be adopted for neutral speech pitch identification.  2017 Walter de Gruyter GmbH, Berlin/Boston.</text>
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          <name>Creator</name>
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              <text>Yashaswi Alva M.; Nachamai N.M.; Paulose J.</text>
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              <text>International Journal on Disability and Human Development, Vol-16, No. 2, pp. 165-170.</text>
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              <text>Walter de Gruyter GmbH</text>
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          <name>Date</name>
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              <text>2017-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1515/ijdhd-2016-0012" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1515/ijdhd-2016-0012&lt;/a&gt;
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              <text>Restricted Access</text>
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          <description>A related resource</description>
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              <text>ISSN: 21911231</text>
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              <text>Online</text>
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              <text>Yashaswi Alva M., Department of Computer Science, Christ University, Bangalore, Karnataka, India; Nachamai N.M., Department of Computer Science, Christ University, Bangalore, Karnataka, India; Paulose J., Department of Computer Science, Christ University, Bangalore, Karnataka, India</text>
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