Papers Music Classification
“Music Classification” 태그가 달린 논문 52편 · 필터 해제
Iranian Modal Music (Dastgah) detection using deep neural networks
Music classification and genre detection are topics in music information retrieval (MIR) that many articles have been published regarding their utilities in the modern world. However, this contribution is insufficient in…
ArticlesInformation RetrievalMusic ClassificationMusic Information Retrieval+2Contrastive Learning with Positive-Negative Frame Mask for Music Representation
Self-supervised learning, especially contrastive learning, has made an outstanding contribution to the development of many deep learning research fields. Recently, researchers in the acoustic signal processing field noti…
Contrastive LearningCover song identificationMusic ClassificationSelf-Supervised LearningS3T: Self-Supervised Pre-training with Swin Transformer for Music Classification
In this paper, we propose S3T, a self-supervised pre-training method with Swin Transformer for music classification, aiming to learn meaningful music representations from massive easily accessible unlabeled music data. S…
ClassificationData AugmentationGenre classificationMusic Classification+3Visualizing Ensemble Predictions of Music Mood
Music mood classification has been a challenging problem in comparison with other music classification problems (e.g., genre, composer, or period). One solution for addressing this challenge is to use an ensemble of mach…
Music ClassificationMusic Classification: Beyond Supervised Learning, Towards Real-world Applications
Music classification is a music information retrieval (MIR) task to classify music items to labels such as genre, mood, and instruments. It is also closely related to other concepts such as music similarity and musical p…
ClassificationInformation RetrievalMusic ClassificationMusic Information Retrieval+2SpliceOut: A Simple and Efficient Audio Augmentation Method
Time masking has become a de facto augmentation technique for speech and audio tasks, including automatic speech recognition (ASR) and audio classification, most notably as a part of SpecAugment. In this work, we propose…
Audio ClassificationAutomatic Speech RecognitionAutomatic Speech Recognition (ASR)Music Classification+4BERT-like Pre-training for Symbolic Piano Music Classification Tasks
This article presents a benchmark study of symbolic piano music classification using the masked language modelling approach of the Bidirectional Encoder Representations from Transformers (BERT). Specifically, we consider…
ClassificationEmotion ClassificationLanguage ModellingMelody Extraction+1Exploring modality-agnostic representations for music classification
Music information is often conveyed or recorded across multiple data modalities including but not limited to audio, images, text and scores. However, music information retrieval research has almost exclusively focused on…
ClassificationCross-Modal RetrievalInformation RetrievalMusic Classification+2Deep Neural Network for Musical Instrument Recognition using MFCCs
The task of efficient automatic music classification is of vital importance and forms the basis for various advanced applications of AI in the musical domain. Musical instrument recognition is the task of instrument iden…
General ClassificationInstrument RecognitionMusic ClassificationContrastive Learning of Musical Representations
While deep learning has enabled great advances in many areas of music, labeled music datasets remain especially hard, expensive, and time-consuming to create. In this work, we introduce SimCLR to the music domain and con…
Contrastive LearningLinear evaluationMusic Auto-TaggingMusic Classification+1Multi-view Audio and Music Classification
We propose in this work a multi-view learning approach for audio and music classification. Considering four typical low-level representations (i.e. different views) commonly used for audio and music recognition tasks, th…
ClassificationGeneral ClassificationMULTI-VIEW LEARNINGMusic ClassificationMulti-Task Self-Supervised Pre-Training for Music Classification
Deep learning is very data hungry, and supervised learning especially requires massive labeled data to work well. Machine listening research often suffers from limited labeled data problem, as human annotations are costl…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)ClassificationEmotion Recognition+6Audio Content Analysis
Preprint for a book chapter introducing Audio Content Analysis. With a focus on Music Information Retrieval systems, this chapter defines musical audio content, introduces the general process of audio content analysis, a…
Emotion RecognitionGeneral ClassificationGenre classificationInformation Retrieval+7Large-Scale MIDI-based Composer Classification
Music classification is a task to classify a music piece into labels such as genres or composers. We propose large-scale MIDI based composer classification systems using GiantMIDI-Piano, a transcription-based dataset. We…
ClassificationGeneral ClassificationMusic ClassificationReceptive-Field Regularized CNNs for Music Classification and Tagging
Convolutional Neural Networks (CNNs) have been successfully used in various Music Information Retrieval (MIR) tasks, both as end-to-end models and as feature extractors for more complex systems. However, the MIR field is…
ClassificationGeneral ClassificationInformation RetrievalMusic Classification+2Music Style Classification with Compared Methods in XGB and BPNN
Scientists have used many different classification methods to solve the problem of music classification. But the efficiency of each classification is different. In this paper, we propose two compared methods on the task …
ClassificationGeneral ClassificationMusic ClassificationWord-level Embeddings for Cross-Task Transfer Learning in Speech Processing
Recent breakthroughs in deep learning often rely on representation learning and knowledge transfer. In recent years, unsupervised and self-supervised techniques for learning speech representation were developed to foster…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Language IdentificationMusic Classification+6Lukthung Classification Using Neural Networks on Lyrics and Audios
Music genre classification is a widely researched topic in music information retrieval (MIR). Being able to automatically tag genres will benefit music streaming service providers such as JOOX, Apple Music, and Spotify f…
ClassificationGeneral ClassificationGenre classificationInformation Retrieval+5Zero-shot Learning for Audio-based Music Classification and Tagging
Audio-based music classification and tagging is typically based on categorical supervised learning with a fixed set of labels. This intrinsically cannot handle unseen labels such as newly added music genres or semantic w…
AttributeClassificationGeneral ClassificationMulti-label zero-shot learning+4Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging
Music classification and tagging is conducted through categorical supervised learning with a fixed set of labels. In principle, this cannot make predictions on unseen labels. Zero-shot learning is an approach to solve th…
ClassificationGeneral ClassificationMusic ClassificationTransfer Learning+1