专题:Music and Audio Processing

This cluster of papers focuses on the classification and analysis of audio signals, including music genre classification, environmental sound recognition, melody extraction, and acoustic scene classification. It explores techniques such as deep learning, convolutional neural networks, and feature extraction for music information retrieval.
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Perceptual Signal Analysis and Eigenvalue-Weighted Metrics for Musical Audio Quality Assessment

conference-paper Full Text OpenAlex 846 FWCI10.0748

TS2Vec: Towards Universal Representation of Time Series

conference-paper Full Text OpenAlex 842 FWCI112.3036

F1000Research

paratext Full Text OpenAlex 596 FWCI0

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

conference-paper Full Text OpenAlex 583 FWCI65.7641

Mel Frequency Cepstral Coefficient and its Applications: A Review

article Full Text OpenAlex 532 FWCI46.8224

Computational bioacoustics with deep learning: a review and roadmap

article Full Text OpenAlex 459 FWCI37.6303

Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

conference-paper Full Text OpenAlex 452 FWCI94.6228

CLAP Learning Audio Concepts from Natural Language Supervision

conference-paper Full Text OpenAlex 447 FWCI93.0049

AudioLM: A Language Modeling Approach to Audio Generation

article Full Text OpenAlex 429 FWCI37.083

Self-Supervised Speech Representation Learning: A Review

review Full Text OpenAlex 371 FWCI6.1969