Valentin Emiya

Publications (15) View all

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  Available from: archives-ouvertes.fr

  Article: Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle

  V. Emiya, R. Badeau, B. David
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  ABSTRACT: A new method for the estimation of multiple concurrent pitches in piano recordings is presented. It addresses the issue of overlapping overtones by modeling the spectral envelope of the overtones of each note with a smooth autoregressive model. For the background noise, a moving-average model is used and the combination of both tends to eliminate harmonic and sub-harmonic erroneous pitch estimations. This leads to a complete generative spectral model for simultaneous piano notes, which also explicitly includes the typical deviation from exact harmonicity in a piano overtone series. The pitch set which maximizes an approximate likelihood is selected from among a restricted number of possible pitch combinations as the one. Tests have been conducted on a large homemade database called MAPS, composed of piano recordings from a real upright piano and from high-quality samples.
  IEEE Transactions on Audio Speech and Language Processing 09/2010; · 1.50 Impact Factor
• Conference Proceeding: An investigation of discrete-state discriminant approaches to single-sensor source separation

  V. Emiya, E. Vincent, R. Gribonval
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  ABSTRACT: This paper investigated a new scheme for single-sensor audio source separation. This framework is introduced comparatively to the existing Gaussian mixture model generative approach and is focusing on the mixture states rather than on the source states, resulting in a discrete, joint state discriminant approach. The study establishes the theoretical performance bounds of the proposed scheme and an actual source separation system is designed. The performance is computed on a set of musical recordings and a discussion is proposed, including the question of the source correlation and the possible drawbacks of the method.
  New Paltz, NY, USA; 10/2009
• Conference Proceeding: Estimateurs oracles pour la séparation de sources monocapteur par approches spectrales à états discrets

  V. Emiya, E. Vincent, R. Gribonval
  GRETSI, Dijon, France; 09/2009
• Conference Proceeding: Expectation-maximization algorithm for multi-pitch estimation and separation of overlapping harmonic spectra

  R. Badeau, V. Emiya, B. David
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  ABSTRACT: This paper addresses the problem of multi-pitch estimation, which consists in estimating the fundamental frequencies of multiple harmonic sources, with possibly overlapping partials, from their mixture. The proposed approach is based on the expectation-maximization algorithm, which aims at maximizing the likelihood of the observed spectrum, by performing successive single-pitch and spectral envelope estimations. This algorithm is illustrated in the context of musical chord identification.
  Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on; 05/2009 · 4.63 Impact Factor
• Article: Multipitch estimation of piano sounds using a new probabilistic spectral smoothness principle

  V. Emiya, R. Badeau, B. David
  IEEE Trans. Audio, Speech and Language Processing. 03/2009;