C. Dittmar

Publications
Influence

EXTRACTION OF DRUM TRACKS FROM POLYPHONIC MUSIC USING INDEPENDENT SUBSPACE ANALYSIS

C. Uhle, C. Dittmar, T. Sporer
Computer Science
2003

A method for the separation of drum tracks from polyphonic music is proposed. Expand

Real-Time Transcription and Separation of Drum Recordings Based on NMF Decomposition

C. Dittmar, Daniel Gärtner
Computer Science
DAFx
2014

This paper proposes a real-time capable method for transcribing and separating occurrences of single drum instruments in polyphonic drum recordings. Expand

Automatic Tablature Transcription of Electric Guitar Recordings by Estimation of Score- and Instrument-Related Parameters

Christian Kehling, J. Abeßer, C. Dittmar, G. Schuller
Engineering, Computer Science
DAFx
2014

In this paper we present a novel algorithm for automatic analysis, transcription, and parameter extraction from isolated guitar recordings. 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

Towards Modeling and Decomposing Loop-Based Electronic Music

Patricio López-Serrano, C. Dittmar, J. Driedger, M. Müller
Computer Science
ISMIR
2016

We propose a simplified formal model for modeling and decomposing Loop-Based Electronic Music (EM) based on a prototypical production technique. Expand

Phoneme Recognition in Popular Music

M. Gruhne, C. Dittmar, Konstantin Schmidt
Computer Science
ISMIR
2007

This paper describes a system, which detects the phonemes based on a state-of-the-art audio information retrieval system with harmonics extraction and synthesizing as pre-processing method. Expand

Automated Estimation of Ride Cymbal Swing Ratios in Jazz Recordings

C. Dittmar, Martin Pfleiderer, M. Müller
Computer Science
ISMIR
2015

We propose to use the log-lag autocorrelation function (LLACF) as a mid-level representation for estimating swing ratios in jazz recordings. Expand

A swingogram representation for tracking micro-rhythmic variation in jazz performances

C. Dittmar, Martin Pfleiderer, S. Balke, M. Müller
Psychology
15 March 2018

In this paper we analyze the swing ratio (beat-upbeat ratio) implied by the drummer on the ride cymbal. Expand

Rhythmic Classification of Electronic Dance Music

Matthias Leimeister, Daniel Gärtner, C. Dittmar
Computer Science
Semantic Audio
27 January 2014

Further Steps towards Drum Transcription of Polyphonic Music

C. Dittmar, C. Uhle
Computer Science
1 May 2004

This publication presents a new method for the detection and classification of un-pitched percussive instruments in real world musical signals. Expand

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