Stable and fast update rules for independent vector analysis based on auxiliary function technique

By Nobutaka Ono. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

390 citations recorded by the source corpus.

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A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation (2017, positive): “In [47], the inter-frame model and the full-rank model are combined in a nested MVDR beamforming structure.”
Multi-Talker Speech Recognition Based on Blind Source Separation with ad hoc Microphone Array Using Smartphones and Cloud Storage (2016, methodology): “The collected signals are synchronized by blind synchronization [21]–[23], then auxiliary-function-based independent vector analysis (AuxIVA) [24] is applied for BSS.”
Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization (2016, methodology): “…independent sources [34] For the optimization of ICA or IVA, update rules based on the auxiliary function technique have been proposed [19], [20], and it has been reported that these update rules are faster and more stable than those for a conventional update scheme (e.g., natural gradient…”
The USTC-iFlytek systems for CHiME-5 Challenge (2018, methodology): “Meanwhile, we apply a conventional multi-channel noise reduction using log-spectral amplitude [2] which is based on generalized weighted prediction error (GWPE) [3] and independent vector analysis (IVA) [4].”