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11 Mar 2011: The schemes developed should be flexible, in that they should be applicable to a wide range of tasks, for example both small and large vocabulary systems. ... This project will build on the current research work on Joint Uncertainty Decoding which has

27 Jul 2020: Woodland, M.J.F. Gales, D. Pye & S.J. Young. April 1997. This paper describes our efforts in extending a large vocabulary speech recognition system to handle broadcast news transcription. ... It includes a number of new features compared to previous HTK

1 Mar 2000: The transcription of broadcast radio and television news poses a number of challenges for large vocabulary transcription systems. ... Cross-word context dependent decision tree state clustered mixture Gaussian HMMs are used with a 65k word vocabulary and

1 Mar 2000: 41-48 (Lansdowne,VA, Feb. 1998). The 1997 HTK BROADCAST NEWS TRANSCRIPTION SYSTEM. ... The transcription of broadcast radio and television news poses a number of challenges for large vocabulary transcription systems.

27 Jul 2020: Abstract for woodland_icassp97. Proceedings ICASSP'97. BROADCAST NEWS TRANSCRIPTION USING HTK. P.C. ... It includes a number of new features over previous HTK large vocabulary systems including decoder-guided segmentation, segment clustering, cache-based

27 Jul 2020: The system downloads the audio track of British and American news broadcasts from the Internet once a day and adds them to its archive. ... The audio, which comes in RealAudio format, is first converted into standard uncompressed format from which a

10 Apr 2000: 1. INTRODUCTION. The transcription of broadcast radio and television news poses anumber of challenges for large vocabulary transcription systems.The data in broadcasts is not homogeneous and includes a num-ber ... Cross-word context dependent deci-sion

14 Aug 2000: The audio, which usually comes in RealAudio format, is first converted into standard uncompressed format from which a transcription is produced using our large vocabulary broadcast news recognition engine. ... The system gives a word error rate of 15.9%

14 Aug 2000: The audio, which comes in RealAudio format, is first converted into standard uncompressed format from which a transcription is produced using our large vocabulary broadcast news recognition engine. ... J. J. Odell, P. C. Woodland, and T. Hain. The

29 Apr 2024: Minimum Bayes Risk (MBR) decoding can significantly improve translation performance of Multilingual Large Language Models (MLLMs). ... 18] The devil is in the details: On the pitfalls of vocabulary selection in neural machine translation.

8 Mar 2000: Cambridge, CB2 1PZ, UK. ABSTRACTThis paper describes our efforts in extending a large vocabularyspeech recognition system to handle broadcast news transcription.Results using the 1995 DARPA H4 evaluation data set are ... Broadcast news transcription

3 Nov 2023: 12] The devil is in the details: On the pitfalls of vocabulary selection in neural machine translation. ... However, both SMT and neural sequence-to-sequence models require large amounts of annotated data.

10 Oct 2001: Thus given a stream of broadcast news, passages relevant to the user's information need can be successfully (and preferentially) retrieved. ... But the generic approach to recognition has throughout been the same, using a 2-pass recogniser and a

15 Aug 2007: Experiments are conductedon theResource Management and Broadcast News corpora. Index Terms— Speech recognition, Robustness. ... test conditions.Experiments on a multistyle, large vocabulary Broadcast News sys-tem show improvements withJoint and VTS

22 Feb 2007: Thishas allowed large vocabulary continuous speech recognition(LVCSR) tasks, such as Broadcast News transcription [1],to be addressed. ... J. Young, “Lattice-based discriminative training for large vocabulary speech recognition,”in Proc.

10 Oct 2007: F. Gales. Abstract— Large vocabulary speech recognition systems areoften built using found data, such as broadcast news. ... I. INTRODUCTION. A DAPTIVE training [1], [2] has become increasinglypopular as greater use has been made of found data, suchas

26 Sep 2016: The approaches are eval-uated on two large vocabulary speech recognition tasks: a U.S.English broadcast news (BN) task and a Javanese conversationaltelephone speech task from the IARPA Babel program. ... English broadcast news(BN) task and a Javanese

25 Sep 2003: 1. INTRODUCTION. Broadcast News transcription has been one of the most challeng-ing and interesting tasks in large vocabulary continuous speechrecognition over recent years. ... Broadcast News Data. Acoustic training data. Development data. Text corpora.

21 Sep 2007: CAMBRIDGE UNIVERSITY. ENGINEERING DEPARTMENT. Joint Uncertainty Decoding for. Robust Large Vocabulary Speech Recognition. ... large vocabulary Broadcast News corpus of collected broadcast recordings. 1 Introduction.

30 May 2007: Thishas allowed large vocabulary continuous speech recognition(LVCSR) tasks, such as Broadcast News transcription [1],to be addressed. ... J. Young, “Lattice-based discriminative training for large vocabulary speech recognition,”in Proc.