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 …

The aim of this paper is to propose a speaker change detection technique based on
Convolutional Neural Network (CNN) and evaluate its contribution to the performance of a …

Self-supervised learning approaches have lately achieved great success on a broad
spectrum of machine learning problems. In the field of speech processing, one of the most …

The aim of this paper is to investigate the benefit of information from a speaker change
detection system based on Convolutional Neural Network (CNN) when applied to the …

Speaker diarization relies on the assumption that speech segments corresponding to a
particular speaker are concentrated in a specific region of the speaker space; a region which …

In this paper, we present the system developed by the team from the New Technologies for
the Information Society (NTIS) research center of the University of West Bohemia, for the …

We introduce and analyze a novel approach to the problem of speaker identification in multi-
party recorded meetings. Given a speech segment and a set of available candidate profiles …

Traditionally, automatic speech recognition (ASR) and speaker change detection (SCD)
systems have been independently trained to generate comprehensive transcripts …

ЦЕЛЬ. В данной работе рассматривается проблема автоматизации моделирования
сегментации речевых сигналов и вокальных исполнений. МЕТОДЫ. Специфика …

In this paper, we present our system developed by the team from the New Technologies for
the Information Society (NTIS) research center of the University of West Bohemia in Pilsen …