Music Genre and Emotion Recognition Using Both Audio and Textual Features Analysis
Publish place: کنفرانس بین المللی تحقیقات بنیادین در مهندسی برق
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEEC01_331
تاریخ نمایه سازی: 17 آبان 1396
Abstract:
Audio content analysis is about summarizing features of audio and classify them. Structural analysis is about high-level things like predicting tags (Genres), recommendation systems, search for cover ID. Most of the early-stage automatic Music Emotion Recognition (MER) systems were based on audio content analysis. Later on, researchers started combining audio and lyrics, leading to bi-modal MER systems with improved accuracy. In this paper, we proposed a novel method which combines the both audio and lyrics (textual) features with LDA topic model for MER followed by a support vector machine. Experimental results showed that the proposed method is more accurate than the baselines.
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Authors
Behnam Taheri
M.S Student, Department of Computer EngineeringWest Tehran Branch, Islamic Azad UniversityTehran, Iran
Sina Dami
Assistance Professor, Department of Computer EngineeringWest Tehran Branch, Islamic Azad UniversityTehran, Iran