The goal of this work is to determine'who spoke when'in real-world meetings. The method
takes surround-view video and single or multi-channel audio as inputs, and generates …

Speaker diarization (SD) is the process of assigning speech segments of an audio stream to
its corresponding speakers, thus comprising the problem of voice activity detection (VAD) …

For an environment to be perceived as being smart, contextual information has to be
gathered to adapt the system's behavior and its interface towards the user. Being a rich …

This article presents a low-latency speaker diarization system (“who is speaking now?”)
based on a hybrid approach that combines a traditional offline speaker diarization system …

Speaker diarization is a task to identify “who spoke when”. Moreover, nowadays, speakers'
audio clips usually are accompanied by visual information. Thus, in the latest works, speaker …

Speaker diarization is traditionally defined as the problem of determining “who speaks
when” given an audio or video stream. This is an important task in many applications for …

In the recent years, extensive researches have been performed on various possible
implementations of speaker diarization systems. These systems require efficient clustering …

Speaker diarization detects speaker change points in spoken data and organizes speaker
clusters so that each cluster contains one speaker's segments. This study aims to develop …

“Ambient intelligence refers to the presence of a digital environment that is sensitive,
adaptive, and responsive to the presence of people. Within a home environment, ambient …

Kurzfassung Die Aufnahme akustischer Signale durch mehrere Mikrofone bildet die
Grundlage für viele moderne Signalverarbeitungsalgorithmen. Mehrkanalige Aufnahmen …