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An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics
TLDR
This book provides quick access to different analysis algorithms and allows comparison between different approaches to the same task, making it useful for newcomers to audio signal processing. Expand
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Hierarchical Automatic Audio Signal Classification
The design, implementation, and evaluation of a system for automatic audio signal classification is presented. The signals are classified according to audio type, differentiating between three speechExpand
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A HIERARCHICAL APPROACH TO AUTOMATIC MUSICAL GENRE CLASSIFICATION
TLDR
A system for the automatic classification of audio signals according to audio category is presented. Expand
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Drum transcription using partially fixed non-negative matrix factorization
TLDR
In this paper, a drum transcription algorithm using partially fixed non-negative matrix factorization is presented. Expand
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A Review of Automatic Drum Transcription
TLDR
This paper presents a comprehensive review of ADT research, including a thorough discussion of the task-specific challenges, categorization of existing techniques, and evaluation of several state-of-the-art systems. Expand
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Evaluation of Features for Audio-to-Audio Alignment
TLDR
A new method for the objective evaluation of audio-to-audio alignment systems is proposed that enables the use of arbitrary kinds of music as ground truth data. Expand
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Chord Detection Using Deep Learning
TLDR
We present and evaluate the results for various methods and configurations, including input pre-processing, a bottleneck architecture, and SVMs vs. HMMs for chord classification. Expand
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An Attention Mechanism for Musical Instrument Recognition
TLDR
Attention enables models to focus on (or `attend to') specific time segments in the audio relevant to each instrument label. Expand
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Instrument Activity Detection in Polyphonic Music using Deep Neural Networks
TLDR
We present an approach for instrument activity detection in polyphonic music with temporal resolution ranging from one second to the track level. Expand
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On the evaluation of generative models in music
TLDR
We propose a set of simple musically informed objective metrics enabling an objective and reproducible way of evaluating and comparing the output of music generative systems. Expand
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