Alexander Lerch

Publications
Influence

An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics

Alexander Lerch
Computer Science
14 August 2012

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

Hierarchical Automatic Audio Signal Classification

Juan José Burred, Alexander Lerch
Engineering
15 July 2004

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 speech… Expand

A HIERARCHICAL APPROACH TO AUTOMATIC MUSICAL GENRE CLASSIFICATION

Alexander Lerch
Computer Science
2003

A system for the automatic classification of audio signals according to audio category is presented. Expand

Drum transcription using partially fixed non-negative matrix factorization

C. Wu, Alexander Lerch
Computer Science
23rd European Signal Processing Conference…
28 December 2015

In this paper, a drum transcription algorithm using partially fixed non-negative matrix factorization is presented. Expand

A Review of Automatic Drum Transcription

C. Wu, C. Dittmar, +5 authors Alexander Lerch
Computer Science
IEEE/ACM Transactions on Audio, Speech, and…
26 April 2018

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

Evaluation of Features for Audio-to-Audio Alignment

Holger Kirchhoff, Alexander Lerch
Computer Science
1 March 2011

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

Chord Detection Using Deep Learning

X. Zhou, Alexander Lerch
Computer Science
ISMIR
2015

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

An Attention Mechanism for Musical Instrument Recognition

Siddharth Gururani, M. Sharma, Alexander Lerch
Computer Science, Engineering
ISMIR
9 July 2019

Attention enables models to focus on (or `attend to') specific time segments in the audio relevant to each instrument label. Expand

Instrument Activity Detection in Polyphonic Music using Deep Neural Networks

Siddharth Gururani, C. Summers, Alexander Lerch
Computer Science
ISMIR
2018

We present an approach for instrument activity detection in polyphonic music with temporal resolution ranging from one second to the track level. Expand

On the evaluation of generative models in music

Li-Chia Yang, Alexander Lerch
Computer Science
Neural Computing and Applications
3 November 2018

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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