The ICSI Meeting Corpus

Janin, Adam; Baron, Don; Edwards, Jane A.; Ellis, Daniel P. W.; Gelbart, David; Morgan, Nelson; Peskin, Barbara; Pfau, Thilo; Shriberg, Elizabeth; Stolcke, Andreas; Wooters, Chuck

doi:10.1109/icassp.2003.1198793

Cited by 506 publications

(355 citation statements)

References 2 publications

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“…Phonetic transcriptions appear in a few laughter-related papers (see [7,16]) but, to our knowledge, no large laughter database has been annotated that way. For example, the two most used natural laughter databases, the ICSI [9] and AMI [4] Meeting Corpora, do not include detailed laughter annotation (only the presence of laughter in a speech turn is indicated). The ICSI Meeting corpus contains around 72 hours of audio recordings from 75 meetings.…”

Section: Motivation and Related Workmentioning

confidence: 99%

A Phonetic Analysis of Natural Laughter, for Use in Automatic Laughter Processing Systems

Urbain

Dutoit

2011

Affective Computing and Intelligent Interaction

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Abstract. In this paper, we present the detailed phonetic annotation of the publicly available AVLaughterCycle database, which can readily be used for automatic laughter processing (analysis, classification, browsing, synthesis, etc.). The phonetic annotation is used here to analyze the database, as a first step. Unsurprisingly, we find that h-like phones and central vowels are the most frequent sounds in laughter. However, laughs can contain many other sounds. In particular, nareal fricatives (voiceless friction in the nostrils) are frequent both in inhalation and exhalation phases. We show that the airflow direction (inhaling or exhaling) changes significantly the duration of laughter sounds. Individual differences in the choice of phones and their duration are also examined. The paper is concluded with some perspectives the annotated database opens.

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Section: Motivation and Related Workmentioning

confidence: 99%

A Phonetic Analysis of Natural Laughter, for Use in Automatic Laughter Processing Systems

Urbain

Dutoit

2011

Affective Computing and Intelligent Interaction

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“…The ICSI Meeting corpus [13] is the largest meeting resource available consisting of 70 technical meetings at ICSI with a total of 73 hours of speech. The number of participants is variable and data is recorded from head-mounted and a total of four table-top microphones.…”

Section: Meeting Resourcesmentioning

confidence: 99%

“…Widespread Work on automatic recognition of speech in meetings started with yearly performance evaluations by the U.S. National Institute of Standards and Technology (NIST) [19]. Work on meeting transcription was initially facilitated by the collection of the ICSI meeting corpus [13] which was followed by trail NIST meeting transcription evaluations in Spring 2002. Further meeting resources were made available by NIST [9], Interactive System Labs (ISL) [3] and the Linguistic Data Consortium RT04s Meeting evaluations [19].…”

Section: Introductionmentioning

confidence: 99%

The Development of the AMI System for the Transcription of Speech in Meetings

Hain

Burget

Dines

et al. 2006

Machine Learning for Multimodal Interaction

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Abstract. The automatic processing of speech collected in conference style meetings has attracted considerable interest with several large scale projects devoted to this area. This paper describes the development of a baseline automatic speech transcription system for meetings in the context of the AMI (Augmented Multiparty Interaction) project. We present several techniques important to processing of this data and show the performance in terms of word error rates (WERs). An important aspect of transcription of this data is the necessary flexibility in terms of audio pre-processing. Real world systems have to deal with flexible input, for example by using microphone arrays or randomly placed microphones in a room. Automatic segmentation and microphone array processing techniques are described and the effect on WERs is discussed. The system and its components presented in this paper yield compettive performance and form a baseline for future research in this domain.

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“…The corpus is being delivered to the LDC [3] at the close of 2002, and should be available through the LDC by the summer of 2003. We describe some of the other key features in this section, but a more complete description has been submitted to this conference separately [1].…”

Section: Corpus Developmentmentioning

confidence: 99%

“…Nonetheless, in the last two years a significant degree of progress has occurred. At ICSI, for instance, we have collected a multichannel corpus of natural meetings, described in [1]. Associated with the meeting audio is an orthographic transcription that includes both lexical and speaker information.…”

Section: Introductionmentioning

confidence: 99%

Meetings about meetings: research at ICSI on speech in multiparty conversations

Morgan

Baron

Bhagat

et al.

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).

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In early 2001 we reported (at the Human Language Technology meeting) the early stages of an ICSI project on processing speech from meetings (in collaboration with other sites, principally SRI, Columbia, and UW). In this paper we report our progress from the first few years of this effort, including: the collection and subsequent release of a 75-meeting corpus (over 70 meeting-hours and up to 16 channels for each meeting); the development of a prosodic database for a large subset of these meetings, and its subsequent use for punctuation and disfluency detection; the development of a dialog annotation scheme and its implementation for a large subset of the meetings; and the improvement of both near-mic and far-mic speech recognition results for meeting speech test sets.

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The ICSI Meeting Corpus

Cited by 506 publications

References 2 publications

A Phonetic Analysis of Natural Laughter, for Use in Automatic Laughter Processing Systems

A Phonetic Analysis of Natural Laughter, for Use in Automatic Laughter Processing Systems

The Development of the AMI System for the Transcription of Speech in Meetings

Meetings about meetings: research at ICSI on speech in multiparty conversations

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