Optimized Audio Classification and Segmentation Algorithm by Using Ensemble Methods
المؤلفون المشاركون
Zahid, Saadia
Hussain, Fawad
Rashid, Muhammad
Yousaf, Muhammad Haroon
Habib, Hafiz Adnan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-28
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Audio segmentation is a basis for multimedia content analysis which is the most important and widely used application nowadays.
An optimized audio classification and segmentation algorithm is presented in this paper that segments a superimposed audio stream on the basis of its content into four main audio types: pure-speech, music, environment sound, and silence.
An algorithm is proposed that preserves important audio content and reduces the misclassification rate without using large amount of training data, which handles noise and is suitable for use for real-time applications.
Noise in an audio stream is segmented out as environment sound.
A hybrid classification approach is used, bagged support vector machines (SVMs) with artificial neural networks (ANNs).
Audio stream is classified, firstly, into speech and nonspeech segment by using bagged support vector machines; nonspeech segment is further classified into music and environment sound by using artificial neural networks and lastly, speech segment is classified into silence and pure-speech segments on the basis of rule-based classifier.
Minimum data is used for training classifier; ensemble methods are used for minimizing misclassification rate and approximately 98% accurate segments are obtained.
A fast and efficient algorithm is designed that can be used with real-time multimedia applications.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zahid, Saadia& Hussain, Fawad& Rashid, Muhammad& Yousaf, Muhammad Haroon& Habib, Hafiz Adnan. 2015. Optimized Audio Classification and Segmentation Algorithm by Using Ensemble Methods. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073231
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zahid, Saadia…[et al.]. Optimized Audio Classification and Segmentation Algorithm by Using Ensemble Methods. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073231
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zahid, Saadia& Hussain, Fawad& Rashid, Muhammad& Yousaf, Muhammad Haroon& Habib, Hafiz Adnan. Optimized Audio Classification and Segmentation Algorithm by Using Ensemble Methods. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073231
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073231
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