Contour, Interval, and Pitch Recognition in Memory for Melodies

旋律 区间(图论) 语音识别 钥匙(锁) 任务(项目管理) 计算机科学 序列(生物学) 数学 模式识别(心理学) 人工智能 音乐剧 组合数学 艺术 遗传学 生物 视觉艺术 经济 管理 计算机安全
作者
W. J. Dowling,Diane S. Fujitani
出处
期刊:Journal of the Acoustical Society of America [Acoustical Society of America]
卷期号:49 (2B): 524-531 被引量:358
标识
DOI:10.1121/1.1912382
摘要

Melodic contour (the sequence of ups and downs in a melody, regardless of interval size) expresses those aspects of a melody that are most essential to manipulation of that melody in various musical structures, e.g., folktunes and fugues. This is demonstrated by brief analyses of actual music. Two experiments demonstrate the role of melodic contour recognition in memory for melodies. Experiment 1 (2×3 factorial design) involved short-term memory with comparison melodies either transposed or not transposed from the key of the standard. Separate groups had the tasks of distinguishing (a) between same and different melodies; (b) between same melodies and ones with only the same contour; and (c) between melodies with the same contour and different ones. The effects of transposition and task and their interaction were significant (p<0.001). Untransposed melodies were recognized by their exact pitches, so that tasks (a) and (b) were equally easy. Contour recognition was more important with transposed melodies, so that task (b) was very difficult, and tasks (a) and (c) were easier. Task (c) was about equally difficult under both conditions. Experiment 2 involved recognition of distorted versions of familiar folktunes having the same length and rhythmic structure. In ascending order of recognizability, these distortions preserved merely the harmonic basis of the melody, the melodic contour, and the contour plus the relative sizes of successive intervals between notes (chi-square = 50.4, p<0.001).

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Hello应助诸以晴采纳,获得10
1秒前
1秒前
TAN发布了新的文献求助10
2秒前
无名老大应助衣钵采纳,获得50
3秒前
Sophie_W完成签到,获得积分10
4秒前
4秒前
4秒前
儒雅的威发布了新的文献求助10
5秒前
无名老大应助临渊采纳,获得30
5秒前
慕青应助xuxu采纳,获得10
6秒前
大好人完成签到,获得积分10
7秒前
7秒前
科研通AI5应助qipaojuzhi采纳,获得10
7秒前
英俊的铭应助愉快的紫丝采纳,获得10
8秒前
liu完成签到,获得积分20
9秒前
9秒前
和谐静竹发布了新的文献求助10
9秒前
田様应助Eazin采纳,获得10
9秒前
Jase完成签到,获得积分10
10秒前
lier应助仙贝采纳,获得10
10秒前
WGZh完成签到 ,获得积分10
11秒前
LSH105关注了科研通微信公众号
11秒前
小妤丸子发布了新的文献求助10
11秒前
12秒前
情怀应助123采纳,获得10
12秒前
13秒前
诸以晴发布了新的文献求助10
14秒前
14秒前
ding应助YWJ采纳,获得10
16秒前
==完成签到,获得积分10
16秒前
16秒前
17秒前
白小白发布了新的文献求助10
18秒前
loopy发布了新的文献求助10
18秒前
小蘑菇应助li采纳,获得10
18秒前
19秒前
GXY完成签到,获得积分10
19秒前
坦率的口红完成签到,获得积分10
20秒前
如意伟诚完成签到,获得积分10
20秒前
小马甲应助zhangzj采纳,获得10
20秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
Novel synthetic routes for multiple bond formation between Si, Ge, and Sn and the d- and p-block elements 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3515227
求助须知:如何正确求助?哪些是违规求助? 3097638
关于积分的说明 9236245
捐赠科研通 2792536
什么是DOI,文献DOI怎么找? 1532575
邀请新用户注册赠送积分活动 712185
科研通“疑难数据库(出版商)”最低求助积分说明 707160