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The Lines Of Maximum Amplitude (LOMA) of the wavelet transform are used for glottal closure instant detection. Following Kadambe & al. (1992), the wavelet transform modulus maxima can be used for singularity detection. The LOMA method extends this idea. All the lines chaining maxima of a wavelet transform across scales are built. Then a(More)
Inharmonicity of piano tones is an essential property of their timbre that strongly influences the tuning, leading to the so-called octave stretching. It is proposed in this paper to jointly model the inharmonicity and tuning of pianos on the whole compass. While using a small number of parameters, these models are able to reflect both the specificities of(More)
This paper investigates how precise a model should be for a robust model-based NMF analysis of piano recordings. While inharmonicity is an essential feature of piano tones from a perceptual point of view, its explicit inclusion in sound models is not straightforward and may even damage the quality of the analysis. Here, we assess the quality of the analysis(More)
This paper presents a system for the transcription of singing voice melodies in polyphonic music signals based on Deep Neural Network (DNN) models. In particular, a new DNN system is introduced for performing the f 0 estimation of the melody, and another DNN, inspired from recent studies, is learned for segmenting vocal sequences. Preparation of the data(More)
This paper presents a method for estimating the tuning and the inharmonicity coefficient of piano tones, from single notes or chord recordings. It is based on the Non-negative Matrix Factorization (NMF) framework, with a parametric model for the dictionary atoms. The key point here is to include as a relaxed constraint the inharmonicity law modelling the(More)
In this paper, we present a new algorithm for removing drums from a polyphonic audio signal. The aim of this algorithm is to discard time/frequency bins which present a percussive magnitude evolution, according to a pre-defined parametric model. Special care is taken to reduce the irrelevant removal of frequency modulated signal such as the ones produced by(More)
The paper introduces a probabilistic model for the analysis of line spectra - defined here as a set of frequencies of spectral peaks with significant energy. This model is detailed in a general polyphonic audio framework and assumes that, for a time-frame of signal, the observations have been generated by a mixture of notes composed by partial and noise(More)
We present a high throughput prototype detection framework designed to meet the stringent scientific requirements of the Gaia mission and satisfy real-time and processing resource constraints on board the satellite. A mixed architecture, whose feasibility has been confirmed as part of phase A, is proposed which manages pixel level operations synchronously(More)
In this paper, we present a way to model long-term reverberation effects in under-determined source separation algorithms based on a non-negative decomposition framework. A general model for the sources affected by reverberation is introduced and update rules for the estimation of the parameters are presented. Combined with a well-known source-filter model(More)
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