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Volumn , Issue , 2016, Pages 513-530

Hidden voice commands

Author keywords

[No Author keywords available]

Indexed keywords

BLACK-BOX MODEL; CHALLENGE RESPONSE PROTOCOLS; EXISTING SYSTEMS; HUMAN LISTENERS; MACHINE LEARNING APPROACHES; SPEECH RECOGNITION SYSTEMS; VOICE INTERFACES; WHITE-BOX MODELS;

EID: 85024499569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (686)

References (44)
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    • Meyer, D.E.1    Schvaneveldt, R.W.2
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    • NLP Captcha
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    • 85009153774 scopus 로고    scopus 로고
    • Google voice search: Faster and more accurate
    • H. Sak, A. Senior, K. Rao, F. Beaufays, and J. Schalkwyk. Google Voice Search: Faster and More Accurate, 2015. Google Research Blog post. Available at http://googleresearch.blogspot.com/2015/09/googlevoice-search-faster-and-more.html.
    • (2015) Google Research Blog Post
    • Sak, H.1    Senior, A.2    Rao, K.3    Beaufays, F.4    Schalkwyk, J.5
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    • (2007) IEEE Symposium on Security and Privacy (Oakland)
    • Schechter, S.1    Dhamija, R.2    Ozment, A.3    Fischer, I.4
  • 40
    • 80052645594 scopus 로고    scopus 로고
    • Adversarial machine learning
    • J. Tygar. Adversarial Machine Learning. IEEE Internet Computing, 15(5): 4–6, 2011.
    • (2011) IEEE Internet Computing , vol.15 , Issue.5 , pp. 4-6
    • Tygar, J.1
  • 42
    • 0032141206 scopus 로고    scopus 로고
    • Cepstral domain segmental feature vector normalization for noise robust speech recognition
    • O. Viikki and K. Laurila. Cepstral Domain Segmental Feature Vector Normalization for Noise Robust Speech Recognition. Speech Communication, 25(13):133–147, 1998.
    • (1998) Speech Communication , vol.25 , Issue.13 , pp. 133-147
    • Viikki, O.1    Laurila, K.2
  • 43


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.