Arlo Mukai Faria

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Produções bibliográficas

• MEI-YUH HWANG ; GANG PENG ; OSTENDORF, M. ; WEN WANG ; FARIA, A. ; HEIDEL, A. . Building A Highly Accurate Mandarin Speech Recognizer With Language-Independent Technologies and Language-Dependent Modules. IEEE Transactions on Audio, Speech, and Language Processing , v. 17, p. 1253-1262, 2009.

• FARIA, A. M. . Lecture Notes in Computer Science (MLMI-05). 1. ed. Heidelberg: Springer, 2006.

• VERGYRI, D. ; MANDAL, A. ; WANG, W. ; STOLCKE, A. ; ZHENG, J. ; GRACIARENA, M. ; RYBACH, D. ; GOLLAN, C. ; SCHLATER, R. ; KIRCHOFF, K. ; FARIA, A. M. ; MORGAN, N. . Development of the SRI/Nightingale Arabic ASR System. In: Interspeech, 2008, Brisbane. Proceedings of Interspeech, 2008.

• CHONG, J. ; YI, Y. ; FARIA, A. M. ; RAJAGOPALAN, S. ; KEUTZER, K. . Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors. In: Workshop on Emerging Applications and Many-core Architecture (EAMA)., 2008, Beijing. Workshop on Emerging Applications and Many-core Architecture (EAMA)., 2008.

• FARIA, ARLO ; MORGAN, NELSON . Corrected tandem features for acoustic model training. In: ICASSP 2008 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, Las Vegas. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008. p. 4737.

• MEI-YUH HWANG ; GANG PENG ; WEN WANG ; FARIA, ARLO ; HEIDEL, AARON ; OSTENDORF, MARI . Building a highly accurate Mandarin speech recognizer. In: , 2007, The Westin Miyako Kyoto. , 2007. p. 490.

• PETROV, S. ; FARIA, A. M. ; MICHAILLAT, P. ; BERG, A. ; STOLCKE, A. ; KLEIN, D. ; MALIK, J. . Detecting Categories in News Video Using Acoustic, Speech, and Image Features. In: Video TREC (TRECVID) Workshop, 2006, Washington, DC. Proceedings of Video TREC (TRECVID), 2006.

• FARIA, A. M. ; GELBART, D. . Efficient Pitch-based Estimation of VTLN Warp Factors. In: Interspeech, 2005, Lisboa. Proceedings of Interspeech, 2005.

Outras produções

Projetos de pesquisa

• 2012 - Atual

  IARPA Babel Program, Descrição: The Babel Program is developing agile and robust speech recognition technology that can be rapidly applied to any human language in order to provide effective search capability for analysts to efficiently process massive amounts of real-world recorded speech. Today s transcription systems are built on technology that was originally developed for English, with markedly lower performance on non-English languages. These systems have often taken years to develop and cover only a small subset of the languages of the world. Babel intends to demonstrate the ability to generate a speech transcription system for any new language within one week to support keyword search performance for effective triage of massive amounts of speech recorded in challenging real-world situations. The goal of the Babel Program is to develop methods to build speech recognition technology for a much larger set of languages than has hitherto been addressed. The Program requires innovations in how to rapidly model a novel language with significantly less training data that are also much noisier and more heterogeneous than what has been used in the current state-of-the-art. Babel's technical measures of success are focused on how well the generated model works to support effective word-based search of noisy channel speech in the languages to be investigated. The new methods are being systematized so that they can be applied rapidly to a novel underserved language.. , Situação: Em andamento; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (1) / Doutorado: (10) . , Integrantes: Arlo Mukai Faria - Coordenador / Nelson Morgan - Integrante / Steven Wegmann - Integrante / Mari Ostendorf - Integrante / eric fosler-lussier - Integrante / Daniel P. W. Ellis - Integrante / Janet Pierrehumbert - Integrante / Jim Hieronymus - Integrante / Adam Janin - Integrante / David Imseng - Integrante / Korbinian Riedhammer - Integrante / Frantisek Grezl - Integrante.

• 2008 - 2013

  Parallel Computing Laboratory, Descrição: http://parlab.eecs.berkeley.edu/about. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Doutorado: (50) . , Integrantes: Arlo Mukai Faria - Coordenador / Nelson Morgan - Integrante / Kurt Keutzer - Integrante / David Patterson - Integrante / Jike Chong - Integrante., Financiador(es): Microsoft Corporation - Auxílio financeiro.

• 2006 - 2009

  DARPA GALE Program, Descrição: The goal of the DARPA GALE program is to produce a system that is able to automatically take multilingual newscasts, text documents, and other forms of communication, and make their information available to human queries. GALE has three major technical challenges: automatic speech recognition, to process audio data, machine translation, to translate non-English data, and distillation, to extract the most useful pieces of information related to a given query.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Doutorado: (5) . , Integrantes: Arlo Mukai Faria - Coordenador / Nelson Morgan - Integrante / Mari Ostendorf - Integrante / Andreas Stolcke - Integrante / Dimitra Vergyri - Integrante / wen wang - Integrante / mei-yuh hwang - Integrante., Financiador(es): Defense Advanced Research Projects Agency - Auxílio financeiro.

• 2004 - 2010

  AMI Project, Descrição: http://www.amiproject.org/. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (5) / Doutorado: (20) . , Integrantes: Arlo Mukai Faria - Coordenador / Steve Renals - Integrante., Financiador(es): European Commission - Auxílio financeiro.

Projetos de desenvolvimento

• 2013 - Atual

  Automatic Alignment of Real-world Data, Descrição: NSF SBIR grant proposal, currently under review.. , Situação: Em andamento; Natureza: Desenvolvimento. , Alunos envolvidos: Graduação: (2) / Doutorado: (1) . , Integrantes: Arlo Mukai Faria - Coordenador / Korbinian Riedhammer - Integrante / daniel gillick - Integrante / eric battenberg - Integrante., Financiador(es): National Science Foundation - Auxílio financeiro.

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