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1
Development and Evaluation of Automatic Punctuation for French and English Speech-to-Text
In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843550 ; Annual Conference of the International Speech Communication Association , Jan 2012, Portland, United States (2012)
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2
Speaker adaptation of language and prosodic models for automatic dialog act segmentation of speech
In: Speech communication. - Amsterdam [u.a.] : Elsevier 52 (2010) 3, 236-245
BLLDB
OLC Linguistik
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3
Czech Broadcast News MDE Transcripts
Kolar, Jachym; Svec, Jan. - : Linguistic Data Consortium, 2010. : https://www.ldc.upenn.edu, 2010
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4
Czech Broadcast News MDE Transcripts ...
Kolar, Jachym; Svec, Jan. - : Linguistic Data Consortium, 2010
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5
Czech Broadcast Conversation Speech
Kolar, Jachym; Svec, Jan; Psutka, Josef. - : Linguistic Data Consortium, 2009. : https://www.ldc.upenn.edu, 2009
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6
Czech Broadcast Conversation MDE Transcripts
Kolar, Jachym; Svec, Jan. - : Linguistic Data Consortium, 2009. : https://www.ldc.upenn.edu, 2009
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7
Czech Broadcast Conversation MDE Transcripts ...
Kolar, Jachym; Svec, Jan. - : Linguistic Data Consortium, 2009
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8
Czech Broadcast Conversation Speech ...
Kolar, Jachym; Svec, Jan; Psutka, Josef. - : Linguistic Data Consortium, 2009
BASE
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9
Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings
In: DTIC (2007)
Abstract: Abstract Dialog act (DA) segmentation in meeting speech is important for meeting understanding. In this paper, we explore speaker adaptation of hidden event language models (LMs) for DA segmentation using the ICSI Meeting Corpus. Speaker adaptation is performed using a linear combination of the generic speaker independent LM and an LM trained on only the data from individual speakers. We test the method on 20 frequent speakers, on both reference word transcripts and the output of automatic speech recognition. Results indicate improvements for 17 speakers on reference transcripts, and for 15 speakers on automatic transcripts. Overall, the speaker-adapted LM yields statistically significant improvement over the baseline LM for both test conditions. ; http://wwww.speech.sri.com/papers/IS07-kolar-p1271.pdf
Keyword: *ADAPTATION; *AUTOMATION; *DIALOG ACTS; *LANGUAGE; *SEGMENTED; *SPEAKER ADAPTATION; *SPEECH RECOGNITION; AUTOMATIC; BASE LINES; DA(DIALOG ACTS); Information Science; Linguistics; RECORDS; SPEECH; Voice Communications; WORDS(LANGUAGE)
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA469307
http://www.dtic.mil/docs/citations/ADA469307
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10
Using Prosody for Automatic Sentence Segmentation of Multi-Party Meetings
In: DTIC (2006)
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11
On Speaker-Specific Prosodic Models for Automatic Dialog Act Segmentation of Multi-Party Meetings
In: DTIC (2006)
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