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. 2015 Sep;138(3):EL347-51.
doi: 10.1121/1.4929800.

Melodic contour identification and sentence recognition using sung speech

Joseph D Crew  1 , John J Galvin 3rd  2 , Qian-Jie Fu  2
Affiliations

Melodic contour identification and sentence recognition using sung speech

Joseph D Crew et al. J Acoust Soc Am. 2015 Sep.

Abstract

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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Figures

Fig. 1.
Fig. 1.
(Color online) Response screens for sentence recognition (left panel) and MCI (right panel). There are five categories with ten words each for the sentence recognition test; there are nine possible contours for MCI.
Fig. 2.
Fig. 2.
Box plots for sentence recognition (top panels) and MCI (bottom panels) scores for musicians (M) and non-musicians (NM). Each panel shows data for different test conditions. The boxes show the 25th and 75th percentile, the error bars show the 10th and 90th percentiles, the solid line shows the median, the dashed line shows the mean, and the symbols show outliers.
See this image and copyright information in PMC

References

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