Who spoke when - Revision history

David at 00:16, 24 November 2006

2006-11-24T00:16:02Z

← Older revision		Revision as of 00:16, 24 November 2006
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	== Date ==		== Date ==

	* 15:00, November 26, 2006		* 15:00, November 23, 2006
	* ~~4rd~~ floor meeting room		* 4th floor meeting room

	== Speaker ==		== Speaker ==

David at 16:29, 19 November 2006

2006-11-19T16:29:11Z

← Older revision		Revision as of 16:29, 19 November 2006
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	__NOTOC__		__NOTOC__
	{\| align="right" cellpadding="3" style='width: 35%; align: right; border-style: solid; border-width: 1px; background: #dee2ff; margin-left: 8px;'		{\| align="right" cellpadding="3" style='width: 35%; align: right; border-style: solid; border-width: 1px; background: #dee2ff; margin-left: 8px;'
	! style='text-align: center;' \|Janez ~~Zilbert~~		! style='text-align: center;' \|Janez Žibert
	\|-		\|-
	\| Janez ~~Zilbert~~ just finished his PhD on the problem of structuring the audio data in terms of speakers.		\| Janez Žibert just finished his PhD on the problem of structuring the audio data in terms of speakers.
	\|}		\|}

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	== Speaker ==		== Speaker ==

	* [http://luks.fe.uni-lj.si/en/ Janez ~~Zilbert~~]		* [http://luks.fe.uni-lj.si/en/staff/janezz/index.html Janez Žibert]

	== Abstract ==		== Abstract ==

	The thesis addresses the problem of structuring the audio data in		The thesis addresses the problem of structuring the audio data in terms of speakers, i.e., finding the regions in the audio streams that belong to one speaker and joining each region of the same speaker together. The task of organizing the audio data in this way is known as speaker diarization and was first introduced in the NIST project of Rich Transcription in "Who spoke when" evaluations. The speaker-diarization problem is composed of several tasks. This thesis addresses three of them: speech/non-speech segmentation, speaker- and background-change detection, and speaker clustering.
	terms of speakers, i.e., finding the regions in the audio streams
	that belong to one speaker and joining each region of the same
	speaker together. The task of organizing the audio data in this way
	is known as speaker diarization and was first introduced in the NIST
	project of Rich Transcription in "Who spoke when"
	evaluations. The speaker-diarization problem is composed of several
	tasks. This thesis addresses three of them: speech/non-speech
	segmentation, speaker- and background-change detection, and speaker
	clustering.

	~~The main objectives in our research were to develop new~~
	~~representations of audio data that were more suitable for each task~~
	~~and to improve the accuracy and increase the robustness of standard~~
	~~approaches under various acoustic and environmental conditions. The~~
	~~motivation for the improvement of the existing methods and the~~
	~~development of new procedures for speaker-diarization tasks is the~~
	~~design of a system for the speaker-based audio indexing of broadcast~~
	~~news shows~~.

			The main objectives in our research were to develop new representations of audio data that were more suitable for each task and to improve the accuracy and increase the robustness of standard approaches under various acoustic and environmental conditions. The motivation for the improvement of the existing methods and the development of new procedures for speaker-diarization tasks is the design of a system for the speaker-based audio indexing of broadcast news shows.

	[[category:Seminars]]		[[category:Seminars]]
	[[category:Seminars 2006]]		[[category:Seminars 2006]]

Paula at 11:55, 17 November 2006

2006-11-17T11:55:22Z

← Older revision		Revision as of 11:55, 17 November 2006
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	__NOTOC__		__NOTOC__
	{\| align="right" cellpadding="3" style='width: 35%; align: right; border-style: solid; border-width: 1px; background: #dee2ff; margin-left: 8px;'		{\| align="right" cellpadding="3" style='width: 35%; align: right; border-style: solid; border-width: 1px; background: #dee2ff; margin-left: 8px;'
	! style='text-align: center;' \|~~David Sündermann~~		! style='text-align: center;' \|Janez Zilbert
	\|-		\|-
	\| Janez Zilbert just finished his PhD on the problem of structuring the audio data in terms of speakers.		\| Janez Zilbert just finished his PhD on the problem of structuring the audio data in terms of speakers.

Paula at 11:54, 17 November 2006

2006-11-17T11:54:47Z

← Older revision		Revision as of 11:54, 17 November 2006
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	! style='text-align: center;' \|David Sündermann		! style='text-align: center;' \|David Sündermann
	\|-		\|-
	\| Janez Zilbert...		\| Janez Zilbert just finished his PhD on the problem of structuring the audio data in terms of speakers.
	\|}		\|}

Paula at 11:53, 17 November 2006

2006-11-17T11:53:46Z

New page

__NOTOC__
{| align="right" cellpadding="3" style='width: 35%; align: right; border-style: solid; border-width: 1px; background: #dee2ff; margin-left: 8px;'
! style='text-align: center;' |David Sündermann
|-
| Janez Zilbert...
|}

== Date ==

* 15:00, November 26, 2006
* 4rd floor meeting room

== Speaker ==

* [http://luks.fe.uni-lj.si/en/ Janez Zilbert]

== Abstract ==

The thesis addresses the problem of structuring the audio data in
terms of speakers, i.e., finding the regions in the audio streams
that belong to one speaker and joining each region of the same
speaker together. The task of organizing the audio data in this way
is known as speaker diarization and was first introduced in the NIST
project of Rich Transcription in "Who spoke when"
evaluations. The speaker-diarization problem is composed of several
tasks. This thesis addresses three of them: speech/non-speech
segmentation, speaker- and background-change detection, and speaker
clustering.

The main objectives in our research were to develop new
representations of audio data that were more suitable for each task
and to improve the accuracy and increase the robustness of standard
approaches under various acoustic and environmental conditions. The
motivation for the improvement of the existing methods and the
development of new procedures for speaker-diarization tasks is the
design of a system for the speaker-based audio indexing of broadcast
news shows.

[[category:Seminars]]
[[category:Seminars 2006]]