Melodic contour identification and sentence recognition using sung speech | Zendy

Joseph D. Crew | Zendy; John J. Galvin | Zendy; QianJie Fu | Zendy

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Melodic contour identification and sentence recognition using sung speech

Author(s) -

Joseph D. Crew,

John J. Galvin,

QianJie Fu

Publication year - 2015

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.4929800

Subject(s) - melody , sentence , cochlear implant , speech recognition , speech perception , perception , octave (electronics) , identification (biology) , computer science , range (aeronautics) , acoustics , audiology , psychology , natural language processing , musical , medicine , physics , art , botany , materials science , composite material , neuroscience , visual arts , biology

For bimodal cochlear implant users, acoustic and electric hearing has been shown to contribute differently to speech and music perception. However, differences in test paradigms and stimuli in speech and music testing can make it difficult to assess the relative contributions of each device. To address these concerns, the Sung Speech Corpus (SSC) was created. The SSC contains 50 monosyllable words sung over an octave range and can be used to test both speech and music perception using the same stimuli. Here SSC data are presented with normal hearing listeners and any advantage of musicianship is examined.

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