The goal of this paper is to evaluate the contribution of speaker change detection (SCD) to
the performance of a speaker diarization system in the telephone domain. We compare the …

Spectral information represents short-term speech information within a frame of a few tens of
milliseconds, while temporal information captures the evolution of speech statistics over …

A novel approach to the live captioning through re-speaking is introduced in this paper. We
describe our concept of respeaking using only one re-speaker with enhanced re-speaker …

In offline speaker diarization systems, particularly those aimed at telephone speech, the
accuracy of the initial segmentation of a conversation is often a secondary concern …

In this paper we introduce our complete solution for captioning of live TV programs used by
the Czech Television, the public service broadcaster in the Czech Republic. Live captioning …

Diarization systems are an essential part of many speech processing applications, such as
speaker indexing, improving automatic speech recognition (ASR) performance and making …

The worst problem the adaptation is dealing with is the lack of adaptation data. This work
focuses on the feature Maximum Likelihood Linear Regression (fMLLR) adaptation where …

The aim of this work is to propose a refinement of the shift-MLLR (shift Maximum Likelihood
Linear Regression) adaptation of an acoustics model in the case of limited amount of …

The aim of this work is to propose a refinement of the shift-MLLR (shift Maximum Likelihood
Linear Regression) adaptation of an acoustics model in the case of limited amount of …

The automatic speaker recognition made a significant progress in the last two decades.
Huge speech corpora containing thousands of speakers recorded on several channels are …