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Automatic speech recognition texts clustering. / Popova, S.; Khodyrev, I.; Ponomareva, I.; Krivosheeva, T.

в: Lecture Notes in Computer Science, Том 8655, 2014, стр. 489-498.

Результаты исследований: Научные публикации в периодических изданиях › статья

Harvard

Popova, S, Khodyrev, I, Ponomareva, I & Krivosheeva, T 2014, 'Automatic speech recognition texts clustering', Lecture Notes in Computer Science, Том. 8655, стр. 489-498. <http://link.springer.com/chapter/10.1007%2F978-3-319-10816-2_59>

APA

Popova, S., Khodyrev, I., Ponomareva, I., & Krivosheeva, T. (2014). Automatic speech recognition texts clustering. Lecture Notes in Computer Science, 8655, 489-498. http://link.springer.com/chapter/10.1007%2F978-3-319-10816-2_59

Vancouver

Popova S, Khodyrev I, Ponomareva I, Krivosheeva T. Automatic speech recognition texts clustering. Lecture Notes in Computer Science. 2014;8655:489-498.

Author

Popova, S. ; Khodyrev, I. ; Ponomareva, I. ; Krivosheeva, T. / Automatic speech recognition texts clustering. в: Lecture Notes in Computer Science. 2014 ; Том 8655. стр. 489-498.

BibTeX

@article{08430032c60842afbc293aaa90682a10,
title = "Automatic speech recognition texts clustering",
abstract = "This paper deals with the clustering task for Russian texts obtained using automatic speech recognition (ASR). The input for processing are recognition result for phone call recordings and manual text transcripts for these calls. We present a comparative analysis of clustering results for recognition texts and manual text transcripts, make an evaluation of how recognition quality affects clustering and explore approaches to increasing clustering quality by using stop words and Latent Semantic Indexing (LSI). {\textcopyright} 2014 Springer International Publishing.",
keywords = "clustering, information retrieval, Latent Semantic Indexing, recognition result clustering, speech-to-text, stop words",
author = "S. Popova and I. Khodyrev and I. Ponomareva and T. Krivosheeva",
year = "2014",
language = "не определен",
volume = "8655",
pages = "489--498",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Automatic speech recognition texts clustering

AU - Popova, S.

AU - Khodyrev, I.

AU - Ponomareva, I.

AU - Krivosheeva, T.

PY - 2014

Y1 - 2014

N2 - This paper deals with the clustering task for Russian texts obtained using automatic speech recognition (ASR). The input for processing are recognition result for phone call recordings and manual text transcripts for these calls. We present a comparative analysis of clustering results for recognition texts and manual text transcripts, make an evaluation of how recognition quality affects clustering and explore approaches to increasing clustering quality by using stop words and Latent Semantic Indexing (LSI). © 2014 Springer International Publishing.

AB - This paper deals with the clustering task for Russian texts obtained using automatic speech recognition (ASR). The input for processing are recognition result for phone call recordings and manual text transcripts for these calls. We present a comparative analysis of clustering results for recognition texts and manual text transcripts, make an evaluation of how recognition quality affects clustering and explore approaches to increasing clustering quality by using stop words and Latent Semantic Indexing (LSI). © 2014 Springer International Publishing.

KW - clustering

KW - information retrieval

KW - Latent Semantic Indexing

KW - recognition result clustering

KW - speech-to-text

KW - stop words

M3 - статья

VL - 8655

SP - 489

EP - 498

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

ID: 5746863