These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 33924798)

  • 21. Domain Adaptation with Augmented Data by Deep Neural Network Based Method Using Re-Recorded Speech for Automatic Speech Recognition in Real Environment.
    Nahar R; Miwa S; Kai A
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560315
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The benefit obtained from visually displayed text from an automatic speech recognizer during listening to speech presented in noise.
    Zekveld AA; Kramer SE; Kessens JM; Vlaming MS; Houtgast T
    Ear Hear; 2008 Dec; 29(6):838-52. PubMed ID: 18633325
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Complete and Resilient Documentation for Operational Medical Environments Leveraging Mobile Hands-free Technology in a Systems Approach: Experimental Study.
    Woo M; Mishra P; Lin J; Kar S; Deas N; Linduff C; Niu S; Yang Y; McClendon J; Smith DH; Shelton SL; Gainey CE; Gerard WC; Smith MC; Griffin SF; Gimbel RW; Wang KC
    JMIR Mhealth Uhealth; 2021 Oct; 9(10):e32301. PubMed ID: 34636729
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A commercial large-vocabulary discrete speech recognition system: DragonDictate.
    Mandel MA
    Lang Speech; 1992; 35 ( Pt 1-2)():237-46. PubMed ID: 1287390
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Noise-robust speech recognition through auditory feature detection and spike sequence decoding.
    Schafer PB; Jin DZ
    Neural Comput; 2014 Mar; 26(3):523-56. PubMed ID: 24320849
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Study of Speech Recognition for Kazakh Based on Unsupervised Pre-Training.
    Meng W; Yolwas N
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679666
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Using Morphological Data in Language Modeling for Serbian Large Vocabulary Speech Recognition.
    Pakoci E; Popović B; Pekar D
    Comput Intell Neurosci; 2019; 2019():5072918. PubMed ID: 30944554
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A study of transformer-based end-to-end speech recognition system for Kazakh language.
    Orken M; Dina O; Keylan A; Tolganay T; Mohamed O
    Sci Rep; 2022 May; 12(1):8337. PubMed ID: 35585130
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Intonation and dialog context as constraints for speech recognition.
    Taylor P; King S; Isard S; Wright H
    Lang Speech; 1998; 41 ( Pt 3-4)():493-512. PubMed ID: 10746367
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A neural network for 500 word vocabulary word spotting using non-uniform units.
    Yu HJ; Oh YH
    Neural Netw; 2000 Jul; 13(6):681-8. PubMed ID: 10987520
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Mandarin Electrolaryngeal Speech Recognition Based on WaveNet-CTC.
    Qian Z; Wang L; Zhang S; Liu C; Niu H
    J Speech Lang Hear Res; 2019 Jul; 62(7):2203-2212. PubMed ID: 31200617
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Deep Convolutional Neural Networks for large-scale speech tasks.
    Sainath TN; Kingsbury B; Saon G; Soltau H; Mohamed AR; Dahl G; Ramabhadran B
    Neural Netw; 2015 Apr; 64():39-48. PubMed ID: 25439765
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Modeling the use of durational information in human spoken-word recognition.
    Scharenborg O
    J Acoust Soc Am; 2010 Jun; 127(6):3758-70. PubMed ID: 20550274
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Automatic speech recognition performance for digital scribes: a performance comparison between general-purpose and specialized models tuned for patient-clinician conversations.
    Tran BD; Mangu R; Tai-Seale M; Lafata JE; Zheng K
    AMIA Annu Symp Proc; 2022; 2022():1072-1080. PubMed ID: 37128439
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Non-native listeners' recognition of high-variability speech using PRESTO.
    Tamati TN; Pisoni DB
    J Am Acad Audiol; 2014 Oct; 25(9):869-92. PubMed ID: 25405842
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Usage, performance, and satisfaction outcomes for experienced users of automatic speech recognition.
    Koester HH
    J Rehabil Res Dev; 2004 Sep; 41(5):739-54. PubMed ID: 15558404
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition.
    Wu J; Yılmaz E; Zhang M; Li H; Tan KC
    Front Neurosci; 2020; 14():199. PubMed ID: 32256308
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Racial disparities in automated speech recognition.
    Koenecke A; Nam A; Lake E; Nudell J; Quartey M; Mengesha Z; Toups C; Rickford JR; Jurafsky D; Goel S
    Proc Natl Acad Sci U S A; 2020 Apr; 117(14):7684-7689. PubMed ID: 32205437
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Relating dynamic brain states to dynamic machine states: Human and machine solutions to the speech recognition problem.
    Wingfield C; Su L; Liu X; Zhang C; Woodland P; Thwaites A; Fonteneau E; Marslen-Wilson WD
    PLoS Comput Biol; 2017 Sep; 13(9):e1005617. PubMed ID: 28945744
    [TBL] [Abstract][Full Text] [Related]  

  • 40. "Mm-hm," "Uh-uh": are non-lexical conversational sounds deal breakers for the ambient clinical documentation technology?
    Tran BD; Latif K; Reynolds TL; Park J; Elston Lafata J; Tai-Seale M; Zheng K
    J Am Med Inform Assoc; 2023 Mar; 30(4):703-711. PubMed ID: 36688526
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.