scholarly journals Penyusunan Notasi Musik dengan Menggunakan Onset Detection pada Sinyal Audio

2013 ◽  
Vol 7 (2) ◽  
pp. 167
Author(s):  
Anindita Suryarasmi ◽  
Reza Pulungan
Keyword(s):  
Detection Method ◽  
Audio Signal ◽  
High Accuracy ◽  
Music Notation ◽  
Onset Detection ◽  
Musical Notation ◽  
Basic Parameters

AbstrakNotasi musik merupakan dokumentasi tertulis dari sebuah lagu. Walaupun notasi musik telah umum digunakan, namun tidak semua orang yang berkecimpung di dalam dunia musik memahami bagaimana notasi musik dituliskan. Penelitian ini menawarkan penyusunan notasi music secara otomatis dengan mengimplementasikan metode onset detection. Hal mendasar yang harus diketahui dalam pembuatan notasi musik adalah durasi serta nada yang dimainkan. Dengan menggunakan mendeteksi onset dari data audio, jarak antar pukulan dapat diketahui. Dengan demikian maka durasi permainan pun bisa dihitung. Hasil dari pencarian durasi tersebut diolah kembali untuk menciptakan objek-objek note yang disusun dalam notasi musik. Sistem menghasilkan keluaran berupa file dengan format musicXML. Dengan format ini maka hasil keluaran sistem akan bersifat dinamis dan dapat diolah kembali dengan music editor yang mendukung format file tersebut.Hasil penelitian menunjukkan akurasi yang tinggi dalam pengenalan pola permainan yang berhubungan dengan durasi setiap note hingga mencapai 99.62%.  Kata kunci— notasi musik, onset detection, musicXML  AbstractMusical notation is written documentation of a music. Even though musical notation is commonly used, not every musician knows how to write a musical notation. This work offers automatic musical notation generation from audio signal using onset detection.Duration and pitch of the notes are two basic parameters that have to be known in order to generate music notation. This work implemented onset detection method to recognize the pattern by measuring the interval between two notes. Using the interval, the duration of each notes can be calculated and used to create note objects in order to arrange a musical notation. The output of the system is a musicXML formatted file. This format allowed the output to be edited using software for music editor. The result of this work shows high accuracy up to 99.62% for detecting each notes and measuring the duration. Keywords— musical notation, onset detection, musicXML

High-Accuracy Ultrasound Contrast Agent Detection Method for Diagnostic Ultrasound Imaging Systems

2015 ◽  
Vol 41 (12) ◽  
pp. 3120-3130 ◽  
Author(s):  
Koichi Ito ◽  
Kazumasa Noro ◽  
Yukari Yanagisawa ◽  
Maya Sakamoto ◽  
Shiro Mori ◽  
...  
Keyword(s):  
Contrast Agent ◽  
Ultrasound Imaging ◽  
Detection Method ◽  
Ultrasound Contrast Agent ◽  
Diagnostic Ultrasound ◽  
High Accuracy ◽  
Imaging Systems ◽  
Ultrasound Contrast

scholarly journals Comparing rhythm in speech and music: The case of English and Polish

2014 ◽  
Vol 1 (1) ◽  
pp. 55-71 ◽  
Author(s):  
Mateusz Jekiel
Keyword(s):  
Folk Music ◽  
Instrumental Music ◽  
Classical Music ◽  
Initial Study ◽  
Music Notation ◽  
Temporal Patterning ◽  
Speech Rhythm ◽  
Musical Notation ◽  
Variability Index ◽  
Point Of Departure

Abstract The point of departure for the following study is Patel and Daniele (2003), who suggested that the rhythm of a culture’s language is reflected in its instrumental music. The former study used the normalised pairwise variability index (henceforth nPVI), a measure of temporal patterning in speech, to compare the variability of vocalic duration in recorded speech samples with the variability of note duration in music notation on the example of English and French speech and classical music. The aim of this experiment is to test whether the linguistic rhythm conventionalised in the language of a community affects the rhythm in the musical practice of that community, by focusing on English and Polish speech and classical, as well as folk music. The nPVI values were obtained from a set of English and Polish recorded news-like sentences, and from musical notation of English and Polish classical and folk musical themes. The results suggest that reflections of Polish speech rhythm may be more apparent in folk music than in classical music, though more data are needed to test this idea. This initial study suggests that the method used might bring more fruitful results when comparing speech rhythm with less formalized and more traditional musical themes.

Research on a beef tenderness detection method using a bionic mastication system based on a pressure sensor

2017 ◽  
Vol 9 (32) ◽  
pp. 4695-4701 ◽  
Author(s):  
Xiaodan Wang ◽  
Hongmei Wang ◽  
Yingming Cai ◽  
Jiahui Jin ◽  
Lingtao Zhu ◽  
...  
Keyword(s):  
Pressure Sensor ◽  
Detection Method ◽  
High Accuracy ◽  
Meat Tenderness ◽  
Beef Tenderness ◽  
Novel Method

A novel method using bionic mastication system based on a pressure sensor was developed to predict beef tenderness with convenience, stability and high accuracy. What's more, this method can be applied to detect other meat tenderness such as those of chicken and pork as well, which indicates a universality of this method.

Defect Detecting Technology Based on Machine Vision of Industrial Parts

2014 ◽  
Vol 641-642 ◽  
pp. 1275-1279 ◽  
Author(s):  
Xiao Jun He ◽  
Zhen Di Yi ◽  
Jing Liu ◽  
Yu Zheng Wang
Keyword(s):  
Machine Vision ◽  
Edge Detection ◽  
Surface Defects ◽  
Detection Method ◽  
Median Filter ◽  
High Accuracy ◽  
Testing Time

In order to reach and test the surface defects on industrial parts, based on Machine Vision this paper put forward a defective parts detection method. The method of median filter was adopted to eliminate the noise of image. The Ostu-method was used for the segmenting threshold. Pixel level and level edge detection were used to complete the precise components defects detection. Experiments show that this scheme is feasible, and can achieve high accuracy and shorter testing time.

High Accuracy Frequency Detection Method Using 1 to mthHarmonics

2018 ◽  
Author(s):  
Jun Shimokawatoko ◽  
Hiroyuki Mizutani ◽  
Ken'ichi Tajima ◽  
Mori Kazutomi
Keyword(s):  
Detection Method ◽  
High Accuracy ◽  
Frequency Detection

The Identity Construction Through Music Notation of The Indigenous Style of Gitar Tunggal Lampung Pesisir

2022 ◽  
Vol 21 (2) ◽  
pp. 303-317
Author(s):  
Riyan Hidayatullah ◽  
Muhammad Jazuli ◽  
Muhammad Ibnan Syarif
Keyword(s):  
Identity Construction ◽  
Pattern Matching ◽  
Case Study Research ◽  
Document Analysis ◽  
Music Notation ◽  
Musical Identity ◽  
Musical Notation ◽  
Audio Recordings ◽  
Matching Techniques

This study aims to reveal the meaning of music notation writing of gitar tunggal Lampung Pesisir written by Imam Rozali. Imam is a gitar tunggal player who wrote his technique and playing style in notation symbols. This article uses a case study research design with pattern matching techniques (Yin, 2018). Data were collected through observation, interviews, document analysis, and audio recordings.  A series of tests were carried out on the notation and other supporting information to improve the validity of the data.  Laboratory analysis was carried out to describe signs, interpret symbols, and compare Western musical notation. As a result, (1) the music notation written by Imam Rozali is a musical expression used as a medium for remembering; (2) the writing of Imam Rozali’s musical notation constructs his musical identity as a Gitar tunggal Lampung Pesisir player; (3) Imam Rozali’s music notation symbolizes an indigenous style which has its concept of gitar tunggal music; (4) Imam Rozali tries to add value to his musical identity among gitar tunggal players because the notation is a symbol of intellectuality.

Improved high-accuracy multiple fingertips detection method for real-time video

2014 ◽  
Vol 29 (1) ◽  
pp. 129-136
Author(s):  
黄阿云 HUANG A-yun ◽  
郭太良 GUO Tai-liang ◽  
林志贤 LIN Zhi-xian ◽  
姚剑敏 YAO Jian-min
Keyword(s):  
Real Time ◽  
Detection Method ◽  
High Accuracy
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