Local AM/FM parameters estimation : application to sinusoidal modeling and blind audio source separation

Dominique Fourer (1) , François Auger (2) , Geoffroy Peeters (1)

1 IRCAM - Institut de Recherche et Coordination Acoustique/Musique
2 IREENA - Institut de Recherche en Energie Electrique de Nantes Atlantique EA4642

This letter extends our recently introduced method which was designed to estimate instantaneous frequency and chirp rate of linearly modulated signals. Indeed, we derive several new estimators related to our previous ones which provide in the timefrequency plane all the signal parameters of the investigated model: amplitude, frequency, and their local modulations (AM/FM). Our estimators are first introduced and compared in terms of statistical efficiency with theoretical bounds and with other state-of-the-art estimators.Then, they are used to improve spectral analysis applied to audio sinusoidal modeling. Finally, they lead to a new source separation technique based on coherent amplitude and frequency modulation that is evaluated on real-world music signals.

Mots clés: Audio processing; Sinusoidal modeling; Source separation; Time-frequency analysis

Domaines: Traitement du signal et de l'image [eess.SP]; Son [cs.SD]

Dominique Fourer, François Auger, Geoffroy Peeters. Local AM/FM parameters estimation : application to sinusoidal modeling and blind audio source separation. IEEE Signal Processing Letters, 2018, 25 (10), ⟨10.1109/LSP.2018.2867799⟩. ⟨hal-01865521⟩