Sparse Localization of Harmonic Audio Sources
Författare
Summary, in English
In this paper, we propose a novel method for estimating the locations of near- and/or far-field harmonic audio sources impinging on an arbitrary, but calibrated, sensor array. Using a joint pitch and location estimation formed in two steps, we first estimate the fundamental frequencies and complex amplitudes under a sinusoidal model assumption, whereafter the location of each source is found by utilizing both the difference in phase and the relative attenuation of the magnitude estimates. As audio recordings often consist of multi-pitch signals exhibiting some degree of reverberation, where both the number of pitches and the source locations are unknown, we propose to use sparse heuristics to avoid the necessity of detailed a priori assumptions on the spectral and spatial model orders. The method’s performance is evaluated using both simulated and measured audio data, with the former showing that the proposed method achieves near-optimal performance, whereas the latter confirms the method’s feasibility when used with real recordings.
Avdelning/ar
- Matematik LTH
- Humanistlaboratoriet
- Matematisk statistik
- Matematikcentrum
- Statistical Signal Processing Group
- Biomedical Modelling and Computation
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- eSSENCE: The e-Science Collaboration
Publiceringsår
2016
Språk
Engelska
Sidor
117-129
Publikation/Tidskrift/Serie
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Volym
24
Issue
1
Fulltext
Dokumenttyp
Artikel i tidskrift
Förlag
Piscataway, NJ : Institute of Electrical and Electronics Engineers
Ämne
- Signal Processing
Nyckelord
- Multi-pitch estimation
- near- and far-field localization
- TDOA
- block sparsity
- convex optimization
- ADMM
- non-convex sparsity
Status
Published
Forskningsgrupp
- Statistical Signal Processing Group
- Biomedical Modelling and Computation
ISBN/ISSN/Övrigt
- ISSN: 2329-9290