2017 25th European Signal Processing Conference (EUSIPCO) 2017
DOI: 10.23919/eusipco.2017.8081352
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A model for music complexity applied to music preprocessing for cochlear implants

Abstract: Abstract-Music appreciation remains challenging for cochlear implant users. In previous studies a strong negative correlation was found with cochlear implant subjects between music appreciation and music complexity. In this paper, music features that contribute to music complexity are investigated and related to a music preprocessing scheme for cochlear implants, in which a complexity reduction is achieved in an attempt to increase music appreciation. First, a complexity rating experiment is performed with pop… Show more

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Cited by 7 publications
(4 citation statements)
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“…Final analyses were also done on summary features for mirroughness , which returns time series data of roughness measures in 50ms windows. We RMS-normalized the mean of mirroughness , following previous work 110 . MIRtoolbox features were computed on the denoised recordings, with the exception of mirtempo and mirpulseclarity , where removing the silences between vocalizations would have altered the tempo.…”
Section: Supplementary Textmentioning
confidence: 99%
“…Final analyses were also done on summary features for mirroughness , which returns time series data of roughness measures in 50ms windows. We RMS-normalized the mean of mirroughness , following previous work 110 . MIRtoolbox features were computed on the denoised recordings, with the exception of mirtempo and mirpulseclarity , where removing the silences between vocalizations would have altered the tempo.…”
Section: Supplementary Textmentioning
confidence: 99%
“…Various approaches are developed such as different sound processing strategies or changing the features of music before CI processing. Researchers proposed using schemes to reduce spectral complexity (27)(28)(29)(30) and remixing music based on the preferences of CI recipients (31)(32)(33)(34). In various studies, the most consistent and critical finding of previous studies is that CI recipients preferred larger vocals to instrument ratio in songs ranging from 3 to 15 dB (31), 1.92 and 3.82 dB on average (33), and 8-9 dB on average (34,35).…”
Section: Introductionmentioning
confidence: 99%
“…A broad range of efforts have already been made to improve music appreciation in CI users, including music preprocessing methods, sound coding strategies, and improved stimulation modes (Nogueira et al 2019). Algorithms that assess the degree of musical stimuli complexity (Buyens et al 2017; Nagathil et al 2018), and others which reduce this complexity directly (e.g., through harmony attenuation) have been created (Nagathil et al 2017). CI users have been shown to prefer solo instrumentation and predictably structured music over multi-instrumentation and unpredictable structures (Limb & Roy 2014).…”
Section: Introductionmentioning
confidence: 99%