Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Context-Dependent Piano Music Transcription With Convolutional Sparse Coding
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Fast and flexible convolutional sparse coding
Improved musical onset detection with Convolutional Neural Networks
Automatic Audio Chord Recognition With MIDI-Trained Deep Feature and BLSTM-CRF Sequence Decoding Model
Time-frequency analysis of the Arabian flute (Nay) tone applied to automatic music transcription
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network
deep convolutional networks on the pitch spiral for music instrument recognition .
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Techniques for the Automated Analysis of Musical Audio
Multimodal Sparsity-Eager Support Vector Machines for Music Classification
Convex non-negative matrix factorization for automatic music structure identification
A Predictive Model for Music Based on Learned Interval Representations
Chordease: a midi remapper for intuitive performance of non-modal music
Grammar Argumented LSTM Neural Networks with Note-Level Encoding for Music Composition.
automatic musical instrument recognition from polyphonic music audio signals .
Recurrent Neural Networks for Music Computation
Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription
WIKI: :SCORE A collaborative environment for music transcription and publishing
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Automatic transcription of Turkish microtonal music
Sparse deep belief net model for visual area V2
Content-based advertisement detection.
Artefacts in magnetic resonance imaging caused by dental material
Intelligent Transportation System For Vehicular Ad-Hoc Networks
Complaint handling on social media: The impact of multiple response times on consumer satisfaction