Vincent Mohammad Tavakoli — accepted AI-conference papers

2017

Distributed max-SINR speech enhancement with ad hoc microphone arrays

Vincent Mohammad Tavakoli, Jesper Rindom Jensen, Richard Heusdens, Jacob Benesty, Mads Græsbøll Christensen

ICASSP 2017accepted

In recent years, signal processing with ad hoc microphone arrays has attracted a lot of attention. Speech enhancement in noisy, interfered, and reverberant environments is one of the problems targeted by ad hoc microphone arrays. Most of the proposed solutions require knowledge of fingerprints, such…

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2016

A partitioned approach to signal separation with microphone ad hoc arrays

Vincent Mohammad Tavakoli, Jesper Rindom Jensen, Jacob Benesty, Mads Græsbøll Christensen

ICASSP 2016accepted

In this paper, a blind algorithm is proposed for speech enhancement in multi-speaker scenarios, in which interference rejection is the main objective. Here, the ad hoc array is broken into microphone duples which are used to partition the array into local sub-arrays. The core algorithm takes advanta…

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2015

Pseudo-coherence-based MVDR beamformer for speech enhancement with ad hoc microphone arrays

Vincent Mohammad Tavakoli, Jesper Rindom Jensen, Mads Græsbøll Christensen, Jacob Benesty

ICASSP 2015accepted

Speech enhancement with distributed arrays has been met with various methods. On the one hand, data independent methods require information about the position of sensors, so they are not suitable for dynamic geometries. On the other hand, Wiener-based methods cannot assure a distortionless output. T…

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