| Discrimination between mothers' infant- and adult-directed speech using hidden Markov models. | |
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MedLine Citation:
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PMID: 21256898 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Infant-directed speech (IDS) has the important functions of capturing the infants' attention and maintaining communication between the mother and the infant. It is known that three acoustic components (F0, F0 range, and tempo) in IDS and adult-directed speech (ADS) are different. However, it is not easy to discriminate between IDS and ADS using procedural approaches due to the wide range of individual differences. In this paper, we propose a novel approach to discriminate between IDS and ADS that uses mel-frequency cepstrum coefficient and a hidden Markov model-based speech discrimination algorithm; this approach is not based on the prosodic features of F0, F0 range, and tempo. The average discrimination accuracy of the proposed algorithm is 84.34%. The objective accuracy of the discrimination models have been confirmed using the head-turn preference procedure, which measures infants' listening duration to auditory stimuli of IDS and ADS. These results suggest that the proposed algorithm may enable a robust and reliable classification of mothers' speech and infant attention to the mothers' speech may depend on IDS clarity. |
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Authors:
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Takao Inoue; Ryuta Nakagawa; Misa Kondou; Tadashi Koga; Kazuyuki Shinohara |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-1-21 |
Journal Detail:
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Title: Neuroscience research Volume: - ISSN: 1872-8111 ISO Abbreviation: - Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-1-31 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8500749 Medline TA: Neurosci Res Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011. Published by Elsevier Ireland Ltd. |
Affiliation:
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Graduate School of Biomedical Sciences, Nagasaki University, Sakamoto 1-12-4, Nagasaki 852-8523, Japan. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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