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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 – 6 of 6 1 Traduction de la parole dans le projet RAPMAT Maynard, Hélène; Segal, Natalia; Bilinski, Eric... In: Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843418 ; Journées d'Études sur la Parole, Jan 2014, Le Mans, France (2014) BASE Show details 2 Speech-to-Text Development for Slovak, a Low-Resourced Language Do, Cong-Thanh; Lamel, Lori; Gauvain, Jean-Luc In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843417 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St. Petersburg, Russia (2014) BASE Show details 3 Comparing decoding strategies for subword-based keyword spotting in low-resourced languages Hartmann, William; Le, Viet Bac; Messaoudi, Abdelkhalek; Lamel, Lori; Gauvain, Jean-Luc In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843408 ; Annual Conference of the International Speech Communication Association , ISCA, Sep 2014, Singapore, Singapore (2014) Abstract: International audience ; For languages with limited training resources, out-of-vocabulary (OOV) words are a significant problem, both fortranscription and keyword spotting. This paper investigates theuse of subword lexical units for keyword spotting. Three strate-gies for using the sub-word units are explored: 1) convertingword-based lattices to subword lattices after decoding, 2) per-forming a separate decoding for each subword type, and 3) asingle decoding using all possible subword units. In these ex-periments, the best performance is achieved by carrying out aseparate decoding for each subword type. Further gains are at-tained through system combination. We also find that ignor-ing word boundaries improves the detection of OOV keywordswithout significantly impacting in-vocabulary keyword detec-tion. Results are presented on four languages from the IARPABabel Program (Haitian Creole, Assamese, Bengali, and Zulu). Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; keyword search; low resource LVCSR; OOV; spoken term detection; sub-word lexical units URL: https://hal.archives-ouvertes.fr/hal-01843408 BASE Hide details 4 Efficient Rule Scoring for Improved Grapheme-Based Lexicons Hartmann, William; Lamel, Lori; Gauvain, Jean-Luc In: European Signal Processing Conference ; https://hal.archives-ouvertes.fr/hal-01843411 ; European Signal Processing Conference, Jan 2014, Lisbon, Portugal (2014) BASE Show details 5 Cross-Word Sub-Word Units for Low-Resource Keyword Spotting Hartmann, William; Lamel, Lori; Gauvain, Jean-Luc In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843415 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St. Petersburg, Russia (2014) BASE Show details 6 Efficient Rule Scoring For Improved Grapheme-Based Lexicons ... Gauvain, Jean-Luc; Hartmann, William; Lamel, Lori. - : Zenodo, 2014 BASE Show details

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