Add to ORKGA new method for the recognition of the tonal center or key in a musical audio signal is presented. Time-varying key feature vectors of 264 synthesized sounds are extracted from an auditory-based pitch model and converted into character strings using PCA-analysis and classification trees. Results are compared with distance-based methods
This project, referred to as KeySeeker, seeks to analyze a digital audio piece for its musical key. ...
With the high increase in the availability of digital music, it has become of interest to automatica...
We propose a novel sensor interface for detecting notes in the musical audio signals, particularly w...
This paper proposes a new method for local key and chord estimation from audio signals. This method ...
We consider several perceptual issues in the context of machine recognition of music patterns. It is...
The realisation and evaluation of a musical key extraction algorithm that works directly on raw audi...
This paper proposes a new method for local key and chord estimation from audio signals. A harmonic c...
We systematically analyze audio key finding to determine factors important to system design, and the...
The aim of this work was to investigate in what ways digitized music is analyzed and to determine wh...
Lots of work has been done on speech and speaker recognition. Many technologies were developed for t...
The time-span tree of Jackendoff and Lehrdahl’s Generative Theory of Tonal Music is one of the most ...
Several factors affecting the automatic classification of musical audio signals are examined. Classi...
Signal processing methods for audio classification and music content analysis are developed in this ...
Work on the problem of computer based determination of the musical mode and tonality of a melody fro...
The algorithm presented in this paper provides the means for the real-time recognition of the key si...
This project, referred to as KeySeeker, seeks to analyze a digital audio piece for its musical key. ...
With the high increase in the availability of digital music, it has become of interest to automatica...
We propose a novel sensor interface for detecting notes in the musical audio signals, particularly w...
This paper proposes a new method for local key and chord estimation from audio signals. This method ...
We consider several perceptual issues in the context of machine recognition of music patterns. It is...
The realisation and evaluation of a musical key extraction algorithm that works directly on raw audi...
This paper proposes a new method for local key and chord estimation from audio signals. A harmonic c...
We systematically analyze audio key finding to determine factors important to system design, and the...
The aim of this work was to investigate in what ways digitized music is analyzed and to determine wh...
Lots of work has been done on speech and speaker recognition. Many technologies were developed for t...
The time-span tree of Jackendoff and Lehrdahl’s Generative Theory of Tonal Music is one of the most ...
Several factors affecting the automatic classification of musical audio signals are examined. Classi...
Signal processing methods for audio classification and music content analysis are developed in this ...
Work on the problem of computer based determination of the musical mode and tonality of a melody fro...
The algorithm presented in this paper provides the means for the real-time recognition of the key si...
This project, referred to as KeySeeker, seeks to analyze a digital audio piece for its musical key. ...
With the high increase in the availability of digital music, it has become of interest to automatica...
We propose a novel sensor interface for detecting notes in the musical audio signals, particularly w...