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This repository contains the data set related to the paper “A New Method of Onset and Offset Detection in Ensemble Singing”, published in Logopedics Phoniatrics Vocology and available at: DOI: 10.1080/14015439.2018.1452977. Specifically, the following data are included: i) details of the randomized order of conditions applied to the study, and ii) the fundamental frequency estimates (in Hertz) and the corresponding timestamps (in s) extracted from the audio and electrolaryngograph (Lx) recordings collected for the study. The audio signals were extracted from the head-mounted microphones. The recordings were performed by two singing duets, named Pilot 1 and Pilot 2 in the data set. Please cite both the paper and dataset if used. ------------- Dataset curated by: Sara D'Amario, Audio Lab, Department of Electronic Engineering, University of York. Contact: sda513@york.ac.uk
Male, Time Factors, Voice Quality, Electrodiagnosis, Singing, Pilot Projects, Signal Processing, Computer-Assisted, Acoustics, Group Processes, Humans, Female, Algorithms
Male, Time Factors, Voice Quality, Electrodiagnosis, Singing, Pilot Projects, Signal Processing, Computer-Assisted, Acoustics, Group Processes, Humans, Female, Algorithms
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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