Chroma Toolbox: Matlab Implementations for Extracting Variants of Chroma-Based Audio Features
@inproceedings{Mller2011ChromaTM, title={Chroma Toolbox: Matlab Implementations for Extracting Variants of Chroma-Based Audio Features}, author={Meinard M{\"u}ller and Sebastian Ewert}, booktitle={ISMIR}, year={2011} }
Chroma-based audio features, which closely correlate to the aspect of harmony, are a well-established tool in processing and analyzing music data. There are many ways of computing and enhancing chroma features, which results in a large number of chroma variants with different properties. In this paper, we present a chroma toolbox [13], which contains MATLAB implementations for extracting various types of recently proposed pitch-based and chroma-based audio features. Providing the MATLAB…
178 Citations
CHROMA-BASED SCALE MATCHING FOR AUDIO TONALITY ANALYSIS
- Computer Science
- 2014
An algorithm for visualizing the tonal characteristics of classical music audio recordings and calculates the maximal likelihood for all transpositions of a scale to measure the occurrence of the respective scale type.
Chroma Feature Abstraction using Multiscale 2D-FTM and N-gram for Cover Song Search
- Computer ScienceKIISE Transactions on Computing Practices
- 2018
We proposed a chroma feature sequence abstraction method that can, when compared with conventional methods, improve the speed of cover song identification methods so that it can be used in…
Sparse chroma estimation for harmonic audio
- Computer Science2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- 2015
This work treats the estimation of the chromagram for harmonic audio signals using a block sparse reconstruction framework, clearly showing preferable performance as compared to other commonly used methods.
SM Toolbox: MATLAB Implementations for Computing and Enhancing Similarity Matrices
- Computer ScienceSemantic Audio
- 2014
The SM toolbox is presented, which contains MATLAB implementations for computing and enhancing similarity matrices in various ways and includes a number of additional tools for parsing, navigation, and visualization synchronized with audio playback.
The KUSC Classical Music Dataset for Audio Key Finding
- Computer ScienceThe International journal of Multimedia & Its Applications
- 2014
A benchmark dataset based on the KUSC classical music collection is presented and baseline key-finding comparison results are provided and the importance of considering factors such as estimated tuning frequency, key strength or confidence value, and key recognition difficulty in key finding is shown.
Audio-based Music Segmentation Using Multiple Features
- Physics
- 2011
Structural segmentation based in the musical audio signal is a growing area of investigation. It aims to segment a piece of music into structurally significant parts, or higher level segments. Among…
On the Impact of Key Detection Performance for Identifying Classical Music Styles
- Computer ScienceISMIR
- 2015
Improved performance is obtained when using an efficient key detection method for shifting the chroma histograms and the efficiency of four chroma extraction algorithms for classification is tested.
Tonal complexity features for style classification of classical music
- Computer Science2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- 2015
A set of novel audio features for classifying the style of classical music that rely on statistical measures based on a chroma feature representation of the audio data and are robust to timbral variations are proposed.
Speech Discrimination based on Chroma Vector Analysis
- Physics
- 2015
We present a music and speech part detection method incorporating chroma vector analysis. We apply imagebased mask filters to the time-series chroma components and detect music parts. The envelopes…
References
SHOWING 1-10 OF 30 REFERENCES
Towards Timbre-Invariant Audio Features for Harmony-Based Music
- Computer ScienceIEEE Transactions on Audio, Speech, and Language Processing
- 2010
A novel procedure is described that further enhances chroma features by significantly boosting the degree of timbre invariance without degrading the features' discriminative power, revealing the musical meaning of certain pitch-frequency cepstral coefficients.
Audio Matching via Chroma-Based Statistical Features
- Computer ScienceISMIR
- 2005
An efficient method for audio matching which performs effectively for a wide range of classical music is described, and a new type of chroma-based audio feature is introduced that strongly correlates to the harmonic progression of the audio signal.
Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification
- Computer ScienceIEEE Transactions on Audio, Speech, and Language Processing
- 2008
We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical…
Audio thumbnailing of popular music using chroma-based representations
- Computer ScienceIEEE Transactions on Multimedia
- 2005
This work presents a system for producing short, representative samples (or "audio thumbnails") of selections of popular music, and presents a development of the chromagram, a variation on traditional time-frequency distributions that seeks to represent the cyclic attribute of pitch perception, known as chroma.
A comparative study of tonal acoustic features for a symbolic level music-to-score alignment
- Computer Science2010 IEEE International Conference on Acoustics, Speech and Signal Processing
- 2010
This paper confirms that chroma vectors drawn from representations using a logarithmic frequency scale are the most efficient features, and lead to a good precision, even with a simple alignment strategy, and shows that the relative performance of the features do not depend on possible musical score degradations.
A Robust Mid-Level Representation for Harmonic Content in Music Signals
- Computer ScienceISMIR
- 2005
It is hoped that by utilizing the notion of a musically-motivated mid-level representation, this work may help bridge the gap between symbolic and audio research.
Tonal description of music audio signals
- Computer Science
- 2006
This doctoral dissertation proposes and evaluates a computational approach for the automatic description of tonal aspects of music from the analysis of polyphonic audio signals that contributes to bridge the gap between audio and symbolic-oriented methods without the need of a perfect transcription.
Efficient Index-Based Audio Matching
- Computer ScienceIEEE Transactions on Audio, Speech, and Language Processing
- 2008
The combination of various deformation- and fault-tolerance mechanisms allows us to employ standard indexing techniques to obtain an efficient, index-based matching procedure, thus providing an important step towards semantically searching large-scale real-world music collections.
Identifying `Cover Songs' with Chroma Features and Dynamic Programming Beat Tracking
- Computer Science2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
- 2007
A system that attempts to identify such a relationship between music audio recordings, including best performance on an independent international evaluation, where the system achieved a mean reciprocal ranking of 0.49 for true cover versions among top-10 returns.
Audio-based Music Structure Analysis
- Computer Science
- 2010
This paper gives an overview of state-of-theart methods for computational music structure analysis, where the general goal is to divide an audio recording into temporal segments corresponding to musical parts and to group these segments into musically meaningful categories.