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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 – 10 of 10 1 A keyword search system using open source software ... Trmal, Jan; Guoguo Chen; Povey, Dan. - : Figshare, 2018 BASE Show details 2 A keyword search system using open source software ... Trmal, Jan; Guoguo Chen; Povey, Dan. - : Carnegie Mellon University, 2014 BASE Show details 3 Prosody-Based Unsupervised Speech Summarization with Two-Layer Mutually Reinforced Random Walk ... Sujay Kumar Jauhar; Yun-Nung Chen; Metze, Florian. - : Carnegie Mellon University, 2013 BASE Show details 4 Prosody-Based Unsupervised Speech Summarization with Two-Layer Mutually Reinforced Random Walk ... Sujay Kumar Jauhar; Yun-Nung Chen; Metze, Florian. - : Carnegie Mellon University, 2013 BASE Show details 5 Integration of Language Identification into a Recognition System for Spoken Conversations Containing Code-Switches ... Weiner, Jochen; Vu, Ngoc Thang; Telaar, Dominic. - : Carnegie Mellon University, 2012 BASE Show details 6 Integration of Language Identification into a Recognition System for Spoken Conversations Containing Code-Switches ... Weiner, Jochen; Vu, Ngoc Thang; Telaar, Dominic; Metze, Florian; Schultz, Tanja; Dau-Chen Lyu; Eng-Siong Chng; Haizhou Li. - : Carnegie Mellon University, 2012 Abstract: This paper describes the integration of language identification (LID) into a multilingual automatic speech recognition (ASR) system for spoken conversations containing code-switches between Mandarin and English. We apply a multistream approach to combine at frame level the acoustic model score and the language information, where the latter is provided by an LID component. Furthermore, we advance this multistream approach by a new method called “Language Lookahead”, in which the language information of subsequent frames is used to improve accuracy. Both methods are evaluated using a set of controlled LID results with varying frame accuracies. Our results show that both approaches improve the ASR performance by at least 4% relative if the LID achieves a minimum frame accuracy of 85%. ... Keyword: 89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences URL: https://dx.doi.org/10.1184/r1/6473456.v1 https://kilthub.cmu.edu/articles/Integration_of_Language_Identification_into_a_Recognition_System_for_Spoken_Conversations_Containing_Code-Switches/6473456/1 BASE Hide details 7 Two-layer mutually reinforced random walk for improved multi-party meeting summarization ... Yun-Nung Chen; Metze, Florian. - : Carnegie Mellon University, 2012 BASE Show details 8 Intra-Speaker Topic Modeling for Improved Multi-Party Meeting Summarization with Integrated Random Walk ... Yun-Nung Chen; Metze, Florian. - : Carnegie Mellon University, 2012 BASE Show details 9 Two-layer mutually reinforced random walk for improved multi-party meeting summarization ... Yun-Nung Chen; Metze, Florian. - : Carnegie Mellon University, 2012 BASE Show details 10 Intra-Speaker Topic Modeling for Improved Multi-Party Meeting Summarization with Integrated Random Walk ... Yun-Nung Chen; Metze, Florian. - : Carnegie Mellon University, 2012 BASE Show details

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