Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Automatic Music Transcription Leveraging Generalized Cepstral Features and Deep Learning
Automatic music transcription: challenges and future directions
Evaluation of Frequently Used Audio Features for Classification of Music into Perceptual Categories
MIR IN MATLAB (II): A TOOLBOX FOR MUSICAL FEATURE EXTRACTION FROM AUDIO
Drum transcription from polyphonic music with recurrent neural networks
Deep Learning Techniques for Music Generation - A Survey
An End to End Model for Automatic Music Generation: Combining Deep Raw and Symbolic Audio Networks
Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio
Exploring Deep Learning Methods for Discovering Features in Speech Signals
Music-genre classification system based on spectro-temporal features and feature selection
Automatic musical pattern feature extraction using convolutional neural network
Pattern Discovery Techniques for Music Audio
Genre classification and the invariance of MFCC features to key and tempo
automatic transcription of bass guitar tracks applied for music genre classification and sound synthesis .
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Large scale deep neural network acoustic modeling with semi-supervised training data for YouTube video transcription
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
Automatic Modeling of Musical Style
Towards Music Structural Segmentation across Genres: Features, Structural Hypotheses, and Annotation Principles
Rapid identification of structural phases in combinatorial thin-film libraries using x-ray diffraction and non-negative matrix factorization.
Net2Vec: Deep Learning for the Network
Statistical Monitoring of Nonlinear Product and Process Quality Profiles
From sparse solutions of systems of equations to sparse modeling of signals and images
Audio Chord Recognition with Recurrent Neural Networks