Speaker diarization is a task to label audio or video recordings with classes that correspond
to speaker identity, or in short, a task to identify “who spoke when”. In the early years …

This paper addresses the determined blind source separation problem and proposes a new
effective method unifying independent vector analysis (IVA) and nonnegative matrix …

The performance of many microphone array processing techniques deteriorates in the
presence of reverberation. To provide a widely applicable solution to this longstanding …

In everyday environments, we are frequently immersed by unwanted acoustic noise and
interference while we want to listen to acoustic signals, most often speech. Technology for …

Wireless microphone networks or so-called wireless acoustic sensor networks (WASNs) are
a next-generation technology for audio acquisition and processing. As opposed to traditional …

This paper describes a system, referred to as model-based expectation-maximization source
separation and localization (MESSL), for separating and localizing multiple sound sources …

In this chapter, we provide an overview of existing algorithms for blind source separation of
convolutive audio mixtures. We provide a taxonomy in which many of the existing algorithms …

Telecommunication systems and human-machine interfaces start employing multiple
microphones and loudspeakers in order to make conversations and interactions more …

Noise reduction algorithms in hearing aids are crucial for hearing-impaired persons to
improve speech intelligibility in background noise (eg, traffic, cocktail party situation). Many …

This paper describes a system that generates speaker-annotated transcripts of meetings by
using a microphone array and a 360-degree camera. The hallmark of the system is its ability …