نتایج جستجو برای: melody

تعداد نتایج: 2184  

2017
Thomas W. Reiner

This study investigated melody recognition with a modification of the standard-comparison paradigm. Subjects listened to an original melody, were exposed to a silent retention interval, and then were presented with a target and a distractor. There were two types of trials. On target-same trials, listeners heard the target (the original melody) played in the same key exactly as it was previously...

2017
Sujin Kim Randolph Blake Minyoung Lee Chai-Youn Kim

Individuals possessing absolute pitch (AP) are able to identify a given musical tone or to reproduce it without reference to another tone. The present study sought to learn whether this exceptional auditory ability impacts visual perception under stimulus conditions that provoke visual competition in the form of binocular rivalry. Nineteen adult participants with 3-19 years of musical training ...

2000
Wei Chai Barry L. Vercoe Andrew B. Lippman Joseph A. Paradiso Christopher Schmandt

The emergence of digital music on the Internet requires new information retrieval methods adapted to specific characteristics and needs. While music retrieval based on the text information, such as title, composers, or subject classification, has been implemented in many existing systems, retrieval of a piece of music based on musical content, especially an incomplete, imperfect recall of a fra...

Journal: :Ear and hearing 2009
Sonya Singh Ying-Yee Kong Fan-Gang Zeng

OBJECTIVE The primary goal of the present study was to determine how cochlear implant melody recognition was affected by the frequency range of the melodies, the harmonicity of these melodies, and the number of activated electrodes. The secondary goal was to investigate whether melody recognition and speech recognition were differentially affected by the limitations imposed by cochlear implant ...

Journal: :Electr. Notes Theor. Comput. Sci. 2007
Robert Keller Martin Hunt Stephen Jones David Morrison Aaron Wolin Steven Gomez

We describe the design and implementation of a tool to help students learn the art of jazz improvisation. The tool integrates elements of database, AI in the form of automatic melody generation, and human interface design. We describe the philosophy of using several coordinated mini-languages to provide user specifications for various aspects of the tool, including melody and chord representati...

Journal: :Proceedings of the Musical Association 1907

2009
Sihyun Joo Seokhwan Jo Chang D. Yoo

This paper describes the proposed algorithm submitted to the MIREX 2009 “Audio Melody Extraction” task. The algorithm addresses the task of extracting the predominant melody pitch from a polyphonic audio signal. The algorithm extracts the melody pitch in three steps. In the first step, transient analysis is performed on the polyphonic audio signal to determine the analysis frame length, and the...

2016
Sangeun Kum Changheun Oh Juhan Nam

Singing melody extraction is a task that tracks pitch contour of singing voice in polyphonic music. While the majority of melody extraction algorithms are based on computing a saliency function of pitch candidates or separating the melody source from the mixture, data-driven approaches based on classification have been rarely explored. In this paper, we present a classification-based approach f...

2014
Sergio Giraldo Rafael Ramirez

Extraction of the main melody of a musical piece is a preliminary step in the process of transcribing the piece. Automatic melodic extraction is the task of computationally extracting what a human listener would perceive as the main melody of a polyphonic recording. Several melodic extraction systems have been proposed. However, such systems normally require a number of parameters to be manuall...

2017
Yifei Teng Anny Zhao Camille Goudeseune

We present a hybrid neural network and rule-based system that generates pop music. Music produced by pure rule-based systems often sounds mechanical. Music produced by machine learning sounds better, but still lacks hierarchical temporal structure. We restore temporal hierarchy by augmenting machine learning with a temporal production grammar, which generates the music’s overall structure and c...

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