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Enregistrement W762241911 · doi:10.1044/leader.ftr1.10102005.4

Role of Pitch Memory in Pitch Matching and Pitch Discrimination

2005· article· en· W762241911 sur OpenAlexaboutno aff
Robert E. Moore, Casie Keaton, Christopher R. Watts

Notice bibliographique

RevueASHA Leader · 2005
Typearticle
Langueen
DomaineNeuroscience
ThématiqueNeuroscience and Music Perception
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRelative pitchTone (literature)Pitch perceptionPitch (Music)Speech recognitionMatching (statistics)AudiologyTask (project management)PsychologyAcousticsComputer sciencePerceptionMathematicsPhysicsArtEngineeringMedicine

Résumé

récupéré en direct d'OpenAlex

You have accessThe ASHA LeaderFeature1 Aug 2005Role of Pitch Memory in Pitch Matching and Pitch Discrimination Robert E. Moore, Casie Keaton and Christopher Watts Robert E. Moore Google Scholar More articles by this author , Casie Keaton Google Scholar More articles by this author and Christopher Watts Google Scholar More articles by this author https://doi.org/10.1044/leader.FTR1.10102005.4 SectionsAbout ToolsAdd to favorites ShareFacebookTwitterLinked In This study investigated the role of memory for pitch in pitch-matching ability and pitch-discrimination ability. Deutsch (1975) has proposed that pitch memory is a function of a specialized memory system. Participants performed three experimental tasks: pitch matching, pitch discrimination, and pitch discrimination with memory interference. In the pitch-matching task the participant heard a target tone (piano note) and attempted to vocally match the pitch of the target tone by producing “ah” for eight seconds. For the pitch-discrimination task, participants heard one of five reference tones that were followed by a target tone with a short silent period between the two tones. The frequencies of the reference tones ranged from 110 Hz to 220 Hz. For each reference tone, the target tone was either equal in frequency or differed from the target by +/- 75 cents. For each presentation, the participant indicated whether the reference tone was the same or different in pitch with respect to the target tone. The stimuli for the pitch discrimination with memory interference task were the same as for the pitch discrimination task except that four brief interference tones were placed in the silent period between the reference and target tones. The task for the participants in the pitch discrimination with memory interference task was to indicate if the pitch of the first tone and last tone was the same or different. There was a significant difference between pitch-discrimination ability with and without memory interference. This provides evidence that degrading pitch memory by interference has a significant effect on pitch-discrimination ability. Further, there was a significant correlation between pitch-matching ability and pitch-discrimination ability. Individuals who were good pitch discriminators tended to be good pitch matchers (and vice versa). This was in agreement with Watts et al. (2005). The correlation between the pitch matching and pitch discrimination with memory interference was not significant. When there was interference with memory, pitch discrimination ability declined, and there was no longer a significant relationship between pitch discrimination and pitch matching. It appears that one factor in one’s ability to discriminate (and therefore match) pitch is pitch memory. Previous research has indicated that individuals judged to have good singing voices are also good pitch matchers and pitch discriminators (Watts et al., 2005). Pitch memory may also be an important aspect of natural vocal talent. References Deutsch D. (1975). Auditory memory.Canadian Journal of Psychology, 29, 87–105. CrossrefGoogle Scholar Watts C., Moore R., McCaughren K., & Carr M. (2005, in press). The relationship between vocal pitch matching skills and pitch discrimination skills in untrained accurate and inaccurate singers.Journal of Voice. CrossrefGoogle Scholar Author Notes Robert E. Moore, is assistant professor in the Department of Speech Pathology and Audiology at the University of South Alabama in Mobile. Contact him at [email protected]. Casie Keaton, is an audiologist in Savannah, GA. She received her master’s degree from the University of South Alabama in 2004. Contact her at [email protected]. Christopher Watts, is associate professor in the Department of Communication Sciences & Disorders at James Madison University in Harrisonburg, VA. Contact him at [email protected]. Advertising Disclaimer | Advertise With Us Advertising Disclaimer | Advertise With Us Additional Resources FiguresSourcesRelatedDetails Volume 10Issue 10August 2005 Get Permissions Add to your Mendeley library History Published in print: Aug 1, 2005 Metrics Downloaded 222 times Topicsasha-topicsleader_do_tagleader-topicsasha-article-typesCopyright & Permissions© 2005 American Speech-Language-Hearing AssociationLoading ...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,053

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0160,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,035
Tête enseignante GPT0,285
Écart entre enseignants0,251 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2005
Routes d'admission1
Résumé présentoui

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