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      Uncovering phenotypes of poor-pitch singing: the Sung Performance Battery (SPB)

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          Abstract

          Singing is as natural as speaking for humans. Increasing evidence shows that the layman can carry a tune (e.g., when asked to sing a well-known song or to imitate single pitches, intervals and short melodies). Yet, important individual differences exist in the general population with regard to singing proficiency. Some individuals are particularly inaccurate or imprecise in producing or imitating pitch information (poor-pitch singers), thus showing a variety of singing phenotypes. Unfortunately, so far there is not a standard set of tasks for assessing singing proficiency in the general population, allowing to uncover and characterize individual profiles of poor-pitch singing. Different tasks and analysis methods are typically used in various experiments, making the comparison of the results across studies arduous. To fill this gap we propose here a new tool for assessing singing proficiency (the Sung Performance Battery, SPB). The SPB starts from the assessment of participants' vocal range followed by five tasks: (1) single-pitch matching, (2) pitch-interval matching, (3) novel-melody matching, (4) singing from memory of familiar melodies (with lyrics and on a syllable), and (5) singing of familiar melodies (with lyrics and on a syllable) at a slow tempo indicated by a metronome. Data analysis via acoustical methods provides objective measures of pitch accuracy and precision in terms of absolute and relative pitch. The SPB has been tested in a group of 50 occasional singers. The results indicate that the battery is useful for characterizing proficient singing and for detecting cases of inaccurate and/or imprecise singing.

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          Most cited references28

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          YIN, a fundamental frequency estimator for speech and music.

          An algorithm is presented for the estimation of the fundamental frequency (F0) of speech or musical sounds. It is based on the well-known autocorrelation method with a number of modifications that combine to prevent errors. The algorithm has several desirable features. Error rates are about three times lower than the best competing methods, as evaluated over a database of speech recorded together with a laryngograph signal. There is no upper limit on the frequency search range, so the algorithm is suited for high-pitched voices and music. The algorithm is relatively simple and may be implemented efficiently and with low latency, and it involves few parameters that must be tuned. It is based on a signal model (periodic signal) that may be extended in several ways to handle various forms of aperiodicity that occur in particular applications. Finally, interesting parallels may be drawn with models of auditory processing.
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            Brains that are out of tune but in time.

            It is estimated that about 4% of the general population may have amusia (or tone deafness). Congenital amusia is a lifelong disability for processing music despite normal intellectual, memory, and language skills. Here we present evidence that the disorder stems from a deficit in fine-grained pitch perception. Amusic and control adults were presented with monotonic and isochronous sequences of five tones (i.e., constant pitch and intertone interval). They were required to detect when the fourth tone was displaced in pitch or time. All amusic participants were impaired in detecting the pitch changes, and showed no sign of improvement with practice. In contrast, they detected time changes as well as control adults and exhibited similar improvements with practice. Thus, the degraded pitch perception seen in the amusic individuals cannot be ascribed to nonspecific problems with the task or to poor hearing in general. Rather, the data point to the presence of a congenital neural anomaly that selectively impairs pitch processing.
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              What is specific to music processing? Insights from congenital amusia.

              Musical abilities are generally regarded as an evolutionary by-product of more important functions, such as those involved in language. However, there is increasing evidence that humans are born with musical predispositions that develop spontaneously into sophisticated knowledge bases and procedures that are unique to music. Recent findings also suggest that the brain is equipped with music-specific neural networks and that these can be selectively compromised by a congenital anomaly. This results in a disorder, congenital amusia, that appears to be limited to the processing of music. Recent evidence points to fine-grained perception of pitch as the root of musical handicap. Hence, musical abilities appear to depend crucially on the fine-tuning of pitch, in much the same way that language abilities rely on fine time resolution.
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                Author and article information

                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                30 June 2013
                18 October 2013
                2013
                : 4
                : 714
                Affiliations
                [1] 1Department of Cognitive Psychology, University of Finance and Management (WSFiZ) in Warsaw Warsaw, Poland
                [2] 2Movement to Health Laboratory (EuroMov), University of Montpellier 1 Montpellier, France
                [3] 3Institut Universitaire de France Paris, France
                Author notes

                Edited by: Sarah J. Wilson, University of Melbourne, Australia

                Reviewed by: Daniela Sammler, Max Planck Institute for Human Cognitive and Brain Sciences, Germany; Sean Hutchins, Rotman Research Institute at Baycrest Hospital, Canada

                *Correspondence: Simone Dalla Bella, Movement to Health Laboratory, EuroMov, University of Montpellier 1, 700 Av. du Pic Saint Loup, 34090 Montpellier, France e-mail: simone.dalla-bella@ 123456univ-montp1.fr

                This article was submitted to Auditory Cognitive Neuroscience, a section of the journal Frontiers in Psychology.

                Article
                10.3389/fpsyg.2013.00714
                3799299
                24151475
                d2d2c038-ad20-42fc-8ae9-fd2576ded0f8
                Copyright © 2013 Berkowska and Dalla Bella.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 30 May 2013
                : 18 September 2013
                Page count
                Figures: 2, Tables: 5, Equations: 3, References: 35, Pages: 12, Words: 9847
                Categories
                Psychology
                Original Research Article

                Clinical Psychology & Psychiatry
                music cognition,music disorders,singing,tone-deafness,amusia
                Clinical Psychology & Psychiatry
                music cognition, music disorders, singing, tone-deafness, amusia

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