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search results for `Broadcast News` |u:mi.eng.cam.ac.uk
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mi.eng.cam.ac.uk/UKSpeech2017/posters/e_tsunoo.pdf3 Jul 2018: Our Proposal. news stream divided stories. Hierarchical Recurrent Neural Network (HRNN). • ... To capture a hierarchical character of broadcast news - each story consists of multiple sentences - each sentence consists of words which are relevant to the -
INDICATOR VARIABLE DEPENDENT OUTPUT PROBABILITY MODELLING…
mi.eng.cam.ac.uk/~sjy/papers/tuyo01.pdf20 Feb 2018: The following recognition experiments were conducted onthe 1997 Broadcast News task [5] by rescoring tri-gram lat-tices. ... Different topologies of themodel were evaluated on the 1997 Broadcast News task andsome small improvements were obtained. -
paper.dvi
mi.eng.cam.ac.uk/~ar527/ragni_is2018a.pdf15 Jun 2018: Mrva, R. Sinha, andS. E. Tranter, “Progress in the CU-HTK broadcast news transcrip-tion system,”IEEE TSAP, vol. ... Xiang, S. Abdou, and J. Makhoul, “Re-cent progress in Arabic broadcast news transcription at BBN,” inInterspeech, 2005. -
Structured Deep Neural Networks for Speech Recognition
mi.eng.cam.ac.uk/~mjfg/thesis_cw564.pdf12 Jul 2018: 139. 7.9 Broadcast News: Recognition performance (WER %) of CE MBANNwith i-vector predictive model. ... AM Acoustic Model. ASR Automatic Speech Recognition. BN Broadcast News. CE Cross Entropy. -
./plot_entropy.eps
mi.eng.cam.ac.uk/~ar527/chen_is2017.pdf15 Jun 2018: The performance of the bi-RNNLMs is evaluatedon three speech recognition tasks: broadcast news; meetingtran-scription (AMI); and low-resource systems (Babel data). ... 5. EXPERIMENTS. The performance of the bi-RNNLMs was evaluated on three cor-pora: -
poyosp08
mi.eng.cam.ac.uk/~sjy/papers/dpyo08.pdf20 Feb 2018: Gales, D. Mrva, K.C. Sim and P.C. Woodland, “Development of. the CU-HTK 2004 Broadcast News Transcription. -
tech.dvi
mi.eng.cam.ac.uk/~sjy/papers/bghk13.pdf20 Feb 2018: likelihood. Otherclassifiers such as SVMs [13] and MLPs [14] have also been used.This classification approach has been used successfully in LVCSRtasks such as meetings [15, 14, 16] and broadcast news ... 17] J.L. Gauvain, L. Lamel, and G. Adda, -
Impact of ASR Performance on Free Speaking Language Assessment ...
mi.eng.cam.ac.uk/~ar527/knill_is2018.pdf15 Jun 2018: A Kneser-Ney trigram LM is trainedon 186k words from the System 1 training data, and interpolatedwith a general LM trained on Broadcast News English [34], us-ing the SRILM toolkit ... Fiscus, and W. M. Fisher, “Design and Prepa-ration of the 1996 Hub-4 -
A HIERARCHICAL ATTENTION BASED MODEL FOR OFF-TOPIC SPONTANEOUSSPOKEN…
mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ASRU2017/HierarchicalAttentionBased/hierarchical-attention-based.pdf24 Jan 2018: A Kneser-Ney trigram language model is trainedon this data and interpolated with a general English languagemodel trained on a large broadcast news corpus, using the SRILMtoolkit [16]. -
Use of Graphemic Lexicons for Spoken Language Assessment K.M. ...
mi.eng.cam.ac.uk/~ar527/knill_is2017.pdf15 Jun 2018: The DNN structure is 702x10005x6000. AKneser-Ney trigram LM is trained on 186K words of BULATStest data and interpolated with a general English LM trained ona large broadcast news corpus, using -
main.dvi
mi.eng.cam.ac.uk/~sjy/papers/youn0720 Feb 2018: constant. Forexample, in broadcast news transcription this will bea speaker segment and in telephone transcription itwill be a whole side of a conversation. ... Itis less effective for other applications such as broad-cast news transcription where -
Template.dvi
mi.eng.cam.ac.uk/~ar527/chen_asru2017.pdf15 Jun 2018: 6] investigatedthe use of bidirectional RNNLMs (bi-RNNLMs) for speech recog-nition. For a broadcast news task, sigmoid based RNNLMs gavesmall gains, while no performance improvement was obtainedwhenusing long short-term -
sig-004.dvi
mi.eng.cam.ac.uk/~sjy/papers/gayo07.pdf20 Feb 2018: The reviewconcludes with a case study of LVCSR for Broadcast News andConversation transcription in order to illustrate the techniquesdescribed. ... Much of this development was driven by a series of DARPAand NSA programmes [188] which set ever more -
An attention based model for off-topic spontaneous spoken response ...
mi.eng.cam.ac.uk/~ar527/malinin_slate2017.pdf15 Jun 2018: trained on a large broadcast news corpus, using the SRILMtoolkit [26].
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