Speaker diarization is the task of determining “who spoke when?” in an audio or video
recording that contains an unknown amount of speech and also an unknown number of …

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 …

This paper presents the EPAC corpus which is composed by a set of 100 hours of
conversational speech manually transcribed and by the outputs of automatic tools …

Speaker Change Detection (SCD) is the task of segmenting an input audio-recording
according to speaker interchanges. Nowadays, many applications, such as Speaker …

Methods, systems, and apparatuses for audio event detec tion, where the determination of a
type of sound data is made at the cluster level rather than at the frame level. The techniques …

Abstract Audio-Visual People Diarization (AVPD) is an original framework that
simultaneously improves audio, video, and audiovisual diarization results. Following a …

In this paper, we describe a new application for multimedia indexing, using a system that
monitors the instrumental activities of daily living to assess the cognitive decline caused by …

Content-based people clustering is a crucial step for people indexing within video
documents. In this paper, we investigate the use of both face and clothing features. A …

The selection of the best features to be used in expert systems is a key issue in obtaining a
satisfactory performance. Unsupervised speaker segmentation and clustering is the task of …

(57) ABSTRACT A method of performing a search of a database of speakers, includes:
receiving a query speech sample spoken by a query speaker, deriving a query utterance …