Guitar Chords Classification Using Uncertainty Measurements of Frequency Bins
المؤلفون المشاركون
Ledesma-Orozco, Sergio Eduardo
Guerrero-Turrubiates, Jesus
González-Reyna, S. E.
Aviña-Cervantes, J. G.
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-09-15
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
This paper presents a method to perform chord classification from recorded audio.
The signal harmonics are obtained by using the Fast Fourier Transform, and timbral information is suppressed by spectral whitening.
A multiple fundamental frequency estimation of whitened data is achieved by adding attenuated harmonics by a weighting function.
This paper proposes a method that performs feature selection by using a thresholding of the uncertainty of all frequency bins.
Those measurements under the threshold are removed from the signal in the frequency domain.
This allows a reduction of 95.53% of the signal characteristics, and the other 4.47% of frequency bins are used as enhanced information for the classifier.
An Artificial Neural Network was utilized to classify four types of chords: major, minor, major 7th, and minor 7th.
Those, played in the twelve musical notes, give a total of 48 different chords.
Two reference methods (based on Hidden Markov Models) were compared with the method proposed in this paper by having the same database for the evaluation test.
In most of the performed tests, the proposed method achieved a reasonably high performance, with an accuracy of 93%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Guerrero-Turrubiates, Jesus& Ledesma-Orozco, Sergio Eduardo& González-Reyna, S. E.& Aviña-Cervantes, J. G.. 2015. Guitar Chords Classification Using Uncertainty Measurements of Frequency Bins. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073214
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Guerrero-Turrubiates, Jesus…[et al.]. Guitar Chords Classification Using Uncertainty Measurements of Frequency Bins. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073214
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Guerrero-Turrubiates, Jesus& Ledesma-Orozco, Sergio Eduardo& González-Reyna, S. E.& Aviña-Cervantes, J. G.. Guitar Chords Classification Using Uncertainty Measurements of Frequency Bins. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073214
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073214
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر