Proceedings of the 11th Conference on Sound and Music Technology
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Proceedings of the 11th Conference on Sound and Music Technology
Revised Selected Papers from CSMT 2024
Qian, Kun; Zhou, Li; Gao, Yongwei; Meng, Qinglin
Springer Nature Switzerland AG
06/2025
120
Dura
9789819647828
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1. Meta-Learning for Domain Generalization in Anomalous Sound Detection.- 2. Online Joint Beat and Downbeat Tracking with Time Series Forecasting Model.- 3. Advancing Metadata-Convolutional Neural Networks with Multi-Supervised Contrastive Learning and Metadata Insights for Respiratory Sound Analysis.- 4. Automatic Performative Transcription of Guitar Music Based on Multimodal Network.- 5. A Framework for the Digital Representation and Rendering of Chinese Jianpu Notation for Constructing a Synthetic OMR Dataset.- 6. Accent Recognition with Auxiliary Task and Contrastive Learning.- 7. Effective Denoising in Music-Present Pubs with Efficient Channel Attention.- 7. Semi-Supervised Self-Learning Enhanced Music Emotion Recognition.
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Audio Processing;Music Information Retrieval;Music Perception and Cognition;Acoustic Event Detection;General Audio Processing;Audio Engineering;Machine Listening;Acoustic Scene Classification;Healthcare Audio;Music Production
1. Meta-Learning for Domain Generalization in Anomalous Sound Detection.- 2. Online Joint Beat and Downbeat Tracking with Time Series Forecasting Model.- 3. Advancing Metadata-Convolutional Neural Networks with Multi-Supervised Contrastive Learning and Metadata Insights for Respiratory Sound Analysis.- 4. Automatic Performative Transcription of Guitar Music Based on Multimodal Network.- 5. A Framework for the Digital Representation and Rendering of Chinese Jianpu Notation for Constructing a Synthetic OMR Dataset.- 6. Accent Recognition with Auxiliary Task and Contrastive Learning.- 7. Effective Denoising in Music-Present Pubs with Efficient Channel Attention.- 7. Semi-Supervised Self-Learning Enhanced Music Emotion Recognition.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
