Describes work on segmenting meeting transcriptions according to the patterns of the speaker turns, and modeling the overall amount said by participants in each meeting with a measure of their innate "talkativity.
This paper is about the automatic structuring of multiparty meetings using audio information. We hav...
The purpose of this study is to develop robust techniques for speaker segmentation and clustering wi...
This paper compares languagemodeling techniques for dialog act segmentation of multiparty meetings....
This paper investigates the automatic segmentation of meetings into a sequence of group actions or p...
Outlines work of the Laboratory for Recognition and Organization of Speech and Audio, Department of ...
EDICS Classification: SLP-UNDE In order to determine the points at which meeting discourse changes f...
EDICS Classification: SLP-UNDE In order to determine the points at which meeting discourse changes f...
Recent studies demonstrated the benefit of integrating speaker prediction features into the design o...
We explore speaker-specific prosodic modeling for dialog act segmentation of speech from the ICSI Me...
Our goal is to build conversational agents that combine information from speech, gesture, hand-writi...
In this paper we report recent developments on the meet-ing transcription task, a large vocabulary c...
Most people participate in meetings almost every day, multiple times a day. The study of meetings is...
Automatic analysis of conversations is important for extracting high-level descriptions of meetings....
Abstract—Automatic analysis of conversations is important for extracting high-level descriptions of ...
Our goal is to automatically detect the functional roles that meeting participants play, as well as...
This paper is about the automatic structuring of multiparty meetings using audio information. We hav...
The purpose of this study is to develop robust techniques for speaker segmentation and clustering wi...
This paper compares languagemodeling techniques for dialog act segmentation of multiparty meetings....
This paper investigates the automatic segmentation of meetings into a sequence of group actions or p...
Outlines work of the Laboratory for Recognition and Organization of Speech and Audio, Department of ...
EDICS Classification: SLP-UNDE In order to determine the points at which meeting discourse changes f...
EDICS Classification: SLP-UNDE In order to determine the points at which meeting discourse changes f...
Recent studies demonstrated the benefit of integrating speaker prediction features into the design o...
We explore speaker-specific prosodic modeling for dialog act segmentation of speech from the ICSI Me...
Our goal is to build conversational agents that combine information from speech, gesture, hand-writi...
In this paper we report recent developments on the meet-ing transcription task, a large vocabulary c...
Most people participate in meetings almost every day, multiple times a day. The study of meetings is...
Automatic analysis of conversations is important for extracting high-level descriptions of meetings....
Abstract—Automatic analysis of conversations is important for extracting high-level descriptions of ...
Our goal is to automatically detect the functional roles that meeting participants play, as well as...
This paper is about the automatic structuring of multiparty meetings using audio information. We hav...
The purpose of this study is to develop robust techniques for speaker segmentation and clustering wi...
This paper compares languagemodeling techniques for dialog act segmentation of multiparty meetings....
DOI
Add to ORKG