Music Classification
20 papers with code • 0 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Music Classification
Libraries
Use these libraries to find Music Classification models and implementationsDatasets
MagnaTagATune
EMOPIA
JS Fake Chorales
Latest papers with no code
Neural Networks Hear You Loud And Clear: Hearing Loss Compensation Using Deep Neural Networks
In this study, we propose a DNN-based approach for hearing-loss compensation, which is trained on the outputs of hearing-impaired and normal-hearing DNN-based auditory models in response to speech signals.
Significance of Chirp MFCC as a Feature in Speech and Audio Applications
A novel feature, based on the chirp z-transform, that offers an improved representation of the underlying true spectrum is proposed.
Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies
Therefore, in this paper, we investigate the effectiveness of SSL models for various singing voice recognition tasks.
SpectNet : End-to-End Audio Signal Classification Using Learnable Spectrograms
In this paper, we present SpectNet, an integrated front-end layer that extracts spectrogram features within a CNN architecture that can be used for audio pattern recognition tasks.
Learning Music Representations with wav2vec 2.0
In addition, the results are superior to the pre-trained model on speech embeddings, demonstrating that wav2vec 2. 0 pre-trained on music data can be a promising music representation model.
Iranian Modal Music (Dastgah) detection using deep neural networks
It also shows that because of the precise order in Iranian Dastgah Music, Bidirectional Recurrent networks are more efficient than any other networks that have been implemented in this study.
Contrastive Learning with Positive-Negative Frame Mask for Music Representation
We devise a novel contrastive learning objective to accommodate both self-augmented positives/negatives sampled from the same music.
Visualizing 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).
SpliceOut: 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.
Deep Neural Network for Musical Instrument Recognition using MFCCs
Musical instrument recognition is the task of instrument identification by virtue of its audio.
