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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 – 4 of 4 1 Effective keyword search for low-resourced conversational speech Lileikyte, Rasa; Fraga-Silva, Thiago; Lamel, Lori... In: icassp 2017 ; https://hal.archives-ouvertes.fr/hal-01744176 ; icassp 2017, IEEE, Mar 2017, La Nouvelle Orléans, United States (2017) BASE Show details 2 An investigation into language model data augmentation for low-resourced STT and KWS Huang, Guangpu; Fraga Da Silva, Thiago; Lamel, Lori... In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01837171 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Mar 2017, New Orleans, United States (2017) BASE Show details 3 Investigating Techniques for Low Resource Conversational Speech Recognition Laurent, Antoine; Fraga-Silva,Thiago; Lamel,Lori; Gauvain,Jean-Luc. - 2016 Abstract: In this paper we investigate various techniques in order to build effective speech to text (STT) and keyword search (KWS) systems for low resource conversational speech. Subword decoding and graphemic mappings were assessed in order to detect out-of-vocabulary keywords. To deal with the limited amount of transcribed data, semi-supervised training and data selection methods were investigated. Robust acoustic features produced via data augmentation were evaluated for acoustic modeling. For language modeling, automatically retrieved conversational-like Webdata was used, as well as neural network based models. We report STT improvements with all the techniques, but interestingly only some improve KWS performance. Results are reported for the Swahili language in the context of the 2015 OpenKWS Evaluation. ; 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ISASSP) , 20 Mar 2016, 25 Mar 2016 Keyword: acoustics; conversational speech; data models; feature extraction; Hidden Markov models; IARPA Collection; keyword search; keyword spotting; low-resource languages; speech; speech recognition; training URL: http://www.dtic.mil/docs/citations/AD1038530 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1038530 BASE Hide details 4 Comparing decoding strategies for subword-based keyword spotting in low-resourced languages Hartmann, William; Le, Viet Bac; Messaoudi, Abdelkhalek... 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) BASE Show details

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