Naomi Harte, Niall Hurley, Conor Fearon, Scott Rickard ‘Towards a hardware realization of time-frequency source separation of speech’ in the proceedings of IEEE European Conference on Circuit Theory and Design, 28 Aug -2 Sept. 2005, IEEE
This paper presents preliminary work
on a hardware implementation of a source separation
algorithm employing time-frequency masking
methods. DUET (Degenerate Unmixing Estimation
Technique) has previously been shown to
achieve excellent source separation in real time in
software. The current work is a move towards a
hardware realization of DUET that will allow integration
of the algorithm into consumer devices.
Initial stages involve investigating the performance
of DUET when implemented in fixed-point arithmetic
and a consideration of algorithmic changes
to make DUET more amenable to implementation
on a DSP processor. Performance is compared for
floating-point and fixed-point implementations. A
Weighted K-means clustering algorithm is presented
as an alternative to gradient descent methods for
peak tracking and demonstrated to achieve excellent
performance without adversely affecting computational
load. Preliminary performance figures are
given for an implementation on a TMS320VC5510
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