International Symposium/Conference on Music Information Retrieval, 2006
This paper proposes a method for the automatic transcrip- tion of singing melodies in polyphonic ... more This paper proposes a method for the automatic transcrip- tion of singing melodies in polyphonic music. The method is based on multiple-F0 estimation followed by acoustic and musicological modeling. The acoustic model consists of separate models for singing notes and for no-melody seg- ments. The musicological model uses key estimation and note bigrams to determine the transition probabilities be- tween
In this paper we describe a method for the transcription of percus- sive audio signals which have... more In this paper we describe a method for the transcription of percus- sive audio signals which have been performed with arbitrary non- drum sounds. The system locates sound events from the input sig- nal using an onset detector. Then a set of features is extracted from the onset times. Feature vectors are clustered and the clus- ters are assigned with
In this paper, a number theoretical method is developed for the purpose of analyzing the spectre ... more In this paper, a number theoretical method is developed for the purpose of analyzing the spectre of a mixture of har- monic sounds. The method is based on the properties of prime numbers and on non-linear filtering. It is shown that a number theoretical approach is of vital importance in order to detect and observe harmonic sounds in musical polypho-
This paper concerns the segmentation and automatic transcription of acoustic musical signals. Fir... more This paper concerns the segmentation and automatic transcription of acoustic musical signals. First, a method is proposed for esti- mating the temporal structure of music, the musical meter. The method consists of an acoustic analysis front-end and of a subse- quent probabilistic model which performs joint estimation of the meter at three time scales: beat (tactus), measure, and tatum pulse
International Symposium/Conference on Music Information Retrieval, 2006
This paper proposes a conceptually simple and computa- tionally efficient fundamental frequency (... more This paper proposes a conceptually simple and computa- tionally efficient fundamental frequency (F0) estimator for polyphonic music signals. The studied class of estimators calculate the salience, or strength, of a F0 candidate as a weighted sum of the amplitudes of its harmonic partials. A mapping from the Fourier spectrum to a "F0 salience spec- trum" is found by optimization using
Abstract: Signal processing methods for the automatic transcription of music are developed in thi... more Abstract: Signal processing methods for the automatic transcription of music are developed in this thesis.Music transcription is here understood as the process of analyzing a music signal so as towrite down the parameters of the sounds that occur in it. The applied notation can be the traditionalmusical notation or any symbolic representation which gives sufficient information forperforming the piece using
International Conference on Acoustics, Speech, and Signal Processing, 2000
In this paper, we address the problem of computational audi- tory scene recognition and describe ... more In this paper, we address the problem of computational audi- tory scene recognition and describe methods to classify auditory scenes into predefined classes. By auditory scene recognition we mean recognition of an environment using audio information only. The auditory scenes comprised tens of everyday outside and inside environments, such as streets, restaurants, offices, family homes, and cars. Two completely different
A method is proposed for the automatic transcription of single-voice melodies from an acoustic wa... more A method is proposed for the automatic transcription of single-voice melodies from an acoustic waveform into a symbolic musical notation (a MIDI file). The system con- sists of a signal processing front-end which calculates a continuous pitch track and of a probabilistic model which converts the pitch track into a discrete musical notation. Our proposed probabilistic model consists of three
International Symposium/Conference on Music Information Retrieval, 2006
This paper proposes a method for the automatic transcrip- tion of singing melodies in polyphonic ... more This paper proposes a method for the automatic transcrip- tion of singing melodies in polyphonic music. The method is based on multiple-F0 estimation followed by acoustic and musicological modeling. The acoustic model consists of separate models for singing notes and for no-melody seg- ments. The musicological model uses key estimation and note bigrams to determine the transition probabilities be- tween
In this paper we describe a method for the transcription of percus- sive audio signals which have... more In this paper we describe a method for the transcription of percus- sive audio signals which have been performed with arbitrary non- drum sounds. The system locates sound events from the input sig- nal using an onset detector. Then a set of features is extracted from the onset times. Feature vectors are clustered and the clus- ters are assigned with
In this paper, a number theoretical method is developed for the purpose of analyzing the spectre ... more In this paper, a number theoretical method is developed for the purpose of analyzing the spectre of a mixture of har- monic sounds. The method is based on the properties of prime numbers and on non-linear filtering. It is shown that a number theoretical approach is of vital importance in order to detect and observe harmonic sounds in musical polypho-
This paper concerns the segmentation and automatic transcription of acoustic musical signals. Fir... more This paper concerns the segmentation and automatic transcription of acoustic musical signals. First, a method is proposed for esti- mating the temporal structure of music, the musical meter. The method consists of an acoustic analysis front-end and of a subse- quent probabilistic model which performs joint estimation of the meter at three time scales: beat (tactus), measure, and tatum pulse
International Symposium/Conference on Music Information Retrieval, 2006
This paper proposes a conceptually simple and computa- tionally efficient fundamental frequency (... more This paper proposes a conceptually simple and computa- tionally efficient fundamental frequency (F0) estimator for polyphonic music signals. The studied class of estimators calculate the salience, or strength, of a F0 candidate as a weighted sum of the amplitudes of its harmonic partials. A mapping from the Fourier spectrum to a "F0 salience spec- trum" is found by optimization using
Abstract: Signal processing methods for the automatic transcription of music are developed in thi... more Abstract: Signal processing methods for the automatic transcription of music are developed in this thesis.Music transcription is here understood as the process of analyzing a music signal so as towrite down the parameters of the sounds that occur in it. The applied notation can be the traditionalmusical notation or any symbolic representation which gives sufficient information forperforming the piece using
International Conference on Acoustics, Speech, and Signal Processing, 2000
In this paper, we address the problem of computational audi- tory scene recognition and describe ... more In this paper, we address the problem of computational audi- tory scene recognition and describe methods to classify auditory scenes into predefined classes. By auditory scene recognition we mean recognition of an environment using audio information only. The auditory scenes comprised tens of everyday outside and inside environments, such as streets, restaurants, offices, family homes, and cars. Two completely different
A method is proposed for the automatic transcription of single-voice melodies from an acoustic wa... more A method is proposed for the automatic transcription of single-voice melodies from an acoustic waveform into a symbolic musical notation (a MIDI file). The system con- sists of a signal processing front-end which calculates a continuous pitch track and of a probabilistic model which converts the pitch track into a discrete musical notation. Our proposed probabilistic model consists of three
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