- Multiscale approaches to music audio feature learning
- Singing Voice Melody Transcription Using Deep Neural Networks
- A Hybrid Recurrent Neural Network For Music Transcription
- Deep Learning and Music Adversaries
- An End-to-End Neural Network for Polyphonic Piano Music Transcription
- A Deep Bag-of-Features Model for Music Auto-Tagging
- Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks
- Fast And Accurate Deep Network Learning By Exponential Linear Units (ELUS)
- Musical Instrument Sound Classification With Deep Convolutional Neural Network Using Feature Fusion Approach
- Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks
- Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection
- Automatic tagging using deep convolutional neural networks
- Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions
- Deep Learning for Music
- Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging
- CNN Architectures for Large-Scale Audio Classification
- DeepBach: a Steerable Model for Bach Chorales Generation
- Feature. Learning for Chord Recognition: The Deep Chroma Extractor
- On The Potential Of Simple Framewise Approaches To Piano Transcription
- Sample-level Deep Convolutional Neural Networks For Music Auto-tagging Using Rawwaveforms
- Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
- Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging
- Transfer Learning For Music Classification And Regression Tasks
- Stacked Convolutional And Recurrent Neural Networks For Music Emotion Recognition
- End-to-End Musical Key Estimation Using a Convolutional Neural Network
- Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
- Gabor frames and deep scattering networks in audio processing
- A Deep Multimodal Approach for Cold-start Music Recommendation
- Audio To Score Matching By Combining Phonetic And Duration Information
- GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures
- DNN And CNN With Weighted And Multi-task Loss Functions For Audio Event Detection
- Ensemble Of Deep Neural Networks For Acoustic Scene Classification
- Supervised Speech Separation Based on Deep Learning: An Overview
- XFlow: Cross-modal Deep Neural Networks for Audiovisual Classification
- Deep rank-based transposition-invariant distances on musical sequences
- Deep Learning Techniques for Music Generation – A Survey
- A Comparison Of Audio Signal Preprocessing Methods For Deep Neural Networks On Music Tagging
- Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design?
- A Tutorial on Deep Learning for Music Information Retrieval
- MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
- Interactive Music Generation with Positional Constraints using Anticipation-RNNs
- Large Vocabulary Automatic Chord Estimation Using Deep Neural Nets: Design Framework, System Variations and Limitations
- A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement
- Dilated Recurrent Neural Networks
- Representation Learning Of Music Using Artist Labels
- Polyphonic Music Generation With Sequence Generative Adversarial Networks
- Adversarial Semi-supervised Audio Source Separation Applied To Singing Voice Extraction
- Reducing Model Complexity For Dnn Based Large-scale Audio Classification
- Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask
- End-to-end Learning For Music Audio Tagging At Scale
- Invariances And Data Augmentation For Supervised Music Transcription
- JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs
- Music Transformer: Generating Music With Long-term Structure
- Generating Long Sequences with Sparse Transformers
- Finding Temporal Structure in Music: Blues Improvisation with LSTM Recurrent Networks
- Music Boundary Detection Using Neural Networks On Spectrograms And Self-similarity Lag Matrices
- Downbeat Tracking With Multiple Features And Deep Neural Networks
- Learning To Pinpoint Singing Voice From Weakly Labeled Examples
- Deep Neural Networks in MIR
- Deep Learning as an Engineer: The nuts and bolts and dirty tricks
- Harmonic and Percussive Source Separation Using a Convolutional Auto Encoder
- A Supervised Learning Approach to Musical Style Recognition
- Algorithms for Music Composition by Neural Nets: Improved CBR Paradigms
- An evaluation of Convolutional Neural Networks for music classification using spectrograms
- Vision-based Detection of Acoustic Timed Events: a Case Study on Clarinet Note Onsets
- Experimenting with Musically Motivated Convolutional Neural Networks
- Machine listening intelligence
- An Efficient Approach for Segmentation, Feature Extraction and Classification of Audio Signals
- Multi-Phase Learning for Jazz Improvisation and Interaction
- Surrey-cvssp System For Dcase2017 Challenge Task4
- Deep learning for music data processing: A personal (re)view of the state-of-the-art
- Deep Learning Frameworks
- Recognition Of Acoustic Events Using Deep Neural Networks
- Neural Networks for Note Onset Detection in Piano Music
- A convolutional-kernel based approach for note onset detection in piano-solo audio signals
- Music Signal Processing Using Vector Product Neural Networks
- Transforming Musical Signals through a Genre Classifying Convolutional Neural Network
- Classification of Spatial Audio Location and Content Using Convolutional Neural Networks
- From Music Audio To Chord Tablature: Teaching Deep Convolutional Networks To Play Guitar
- Talking Drums: Generating drum grooves with neural networks
- Automatic Musical Pattern Feature Extraction Using Convolutional Neural Network
- Deep Learning, Audio Adversaries, And Music Content Analysis
- A Software Framework For Musical Data Augmentation
- Automatic Drum Transcription For Polyphonic Recordings Using Soft Attention Mechanisms And Convolutional Neural Networks
- Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations
- MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach
- Folk Music Style Modelling By Recurrent Neural Networks With Long Short Term Memory Units
- Auralisation Of Deep Convolutional Neural Networks: Listening To Learned Features
- Music-noise Segmentation In Spectrotemporal Domain Using Convolutional Neural Networks
- Local-feature-map Integration Using Convolutional Neural Networks for Music Genre Classification
- Event Localization in Music Auto-tagging
- A Deep Learning Approach to Source Separation and Remixing of HipHop music
- Monoaural Audio Source Separation Using Deep Convolutional Neural Networks
- Neural network music composition by prediction: Exploring the benefits of psychoacoustic constraints and multiscale processing
- Audio Musical Genre Classification using Convolutional Neural Networks and Pitch and Tempo Transformations
- Music Theory Inspired Policy Gradient Method for Piano Music Transcription
- Unsupervised feature learning for audio classification using convolutional deep belief networks
- Deep content-based music recommendation
- Toward Inverse Control of Physics-Based Sound Synthesis
- Deep Learning for Event Detection, Sequence Labelling and Similarity Estimation in Music Signals
- Environmental Sound Classification With Convolutional Neural Networks
- Music Emotion Recognition via End-to-End Multimodal Neural Networks
- Samplernn: An Unconditional End-to-end Neural Audio Generation Model
- Musical Onset Detection with Convolutional Neural Networks
- Exploring Data Augmentation For Improved Singing Voice Detection With Neural Networks
- Singer Traits Identification using Deep Neural Network
- Recognition Of Music Types
- Deep learning for music genre classification
- Deep neural network based instrument extraction from music
- Boundary Detection In Music Structure Analysis Using Convolutional Neural Networks
- Audio spectrogram representations for processing with Convolutional Neural Networks