This survey focuses on two challenging speech processing topics, namely: speaker
segmentation and speaker clustering. Speaker segmentation aims at finding speaker …

Задача распознавания диктора по его голосу была поставлена более 40 лет тому
назад, и исследования в этой области все еще продолжаются. Решение этой задачи …

TristouNet is a neural network architecture based on Long Short-Term Memory recurrent
networks, meant to project speech sequences into a fixed-dimensional euclidean space …

Speech applications dealing with conversations require not only recognizing the spoken
words, but also determining who spoke when. The task of assigning words to speakers is …

This paper presents the LIUM open-source speaker diarization toolbox, mostly dedicated to
broadcast news. This tool includes both Hierarchical Agglomerative Clustering using well …

This paper presents an open-source diarization toolkit which is mostly dedicated to speaker
and developed by the LIUM. This toolkit includes hierarchical agglomerative clustering …

Speaker change detection is an important step in a speaker di-arization system. It aims at
finding speaker change points in the audio stream. In this paper, it is treated as a sequence …

We report on work on speaker diarization of telephone conversations which was begun at
the Robust Speaker Recognition Workshop held at Johns Hopkins University in 2008. Three …

Speaker indexing or diarization is an important task in audio processing and retrieval.
Speaker diarization is the process of labeling a speech signal with labels corresponding to …

In this paper, we propose SocioPhone, a novel initiative to build a mobile platform for face-to-
face interaction monitoring. Face-to-face interaction, especially conversation, is a …