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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Multilingual representations for low resource speech recognition and keyword search Cui, J.; Kingsbury, B.; Ramabhadran, B.. - : IEEE, 2016 BASE Show details 2 Multilingual representations for low resource speech recognition and keyword search ... Cui, J; Kingsbury, B; Ramabhadran, B; Sethy, A; Audhkhasi, K; Cui, X; Kislal, E; Mangu, L; Nussbaum-Thom, M; Picheny, M; Tüske, Z; Golik, P; Schluter, R; Ney, H; Gales, Mark; Knill, Katherine; Ragni, Anton; Wang, H; Woodland, Philip. - : Apollo - University of Cambridge Repository, 2015 Abstract: © 2015 IEEE. This paper examines the impact of multilingual (ML) acoustic representations on Automatic Speech Recognition (ASR) and keyword search (KWS) for low resource languages in the context of the OpenKWS15 evaluation of the IARPA Babel program. The task is to develop Swahili ASR and KWS systems within two weeks using as little as 3 hours of transcribed data. Multilingual acoustic representations proved to be crucial for building these systems under strict time constraints. The paper discusses several key insights on how these representations are derived and used. First, we present a data sampling strategy that can speed up the training of multilingual representations without appreciable loss in ASR performance. Second, we show that fusion of diverse multilingual representations developed at different LORELEI sites yields substantial ASR and KWS gains. Speaker adaptation and data augmentation of these representations improves both ASR and KWS performance (up to 8.7% relative). Third, incorporating ... URL: https://dx.doi.org/10.17863/cam.26564 https://www.repository.cam.ac.uk/handle/1810/279184 BASE Hide details 3 Multilingual representations for low resource speech recognition and keyword search Cui, J; Kingsbury, B; Ramabhadran, B. - : IEEE, 2015. : 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings, 2015 BASE Show details 4 Converting Neural Network Language Models into Back-off Language Models for Efficient Decoding in Automatic Speech Recognition Arisoy, E; Chen, S F; Ramabhadran, B... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 22 (2014) 1, 184 OLC Linguistik Show details 5 Language Modeling - Converting Neural Network Language Models into Back-off Language Models for Efficient Decoding in Automatic Speech Recognition Arisoy, E; Chen, S F; Ramabhadran, B... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 22 (2014) 1, 184-192 OLC Linguistik Show details 6 Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks Sainath, T N; Kingsbury, B; Soltau, H... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 21 (2013) 11, 2267 OLC Linguistik Show details 7 SPECIAL ISSUE PAPERS - Automatic Recognition of Spontaneous Speech for Access to Multilingual Oral History Archives Byrne, W.; Doermann, D.; Franz, M.... In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 12 (2004) 4, 420-435 OLC Linguistik Show details 8 Voicemail Corpus Part I Padmanabhan, M; Ramaswamy, G; Ramabhadran, B. - : Linguistic Data Consortium, 1998. : https://www.ldc.upenn.edu, 1998 BASE Show details 9 Voicemail Corpus Part I ... Padmanabhan, M; Ramaswamy, G; Ramabhadran, B. - : Linguistic Data Consortium, 1998 BASE Show details

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