Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ritea A"'
Autor:
Doshi, Sahil D., Knezevic, Andrea, Gonzalez, Carlene, Fischer, Patricia, Goodman, Robert, Gornell, Suzanne, Patel, Sweta, Puzio, Cindy, Ritea, Alisa, Lee, Chung-Han, Evans, Lauren, Voss, Martin H., Motzer, Robert J., Kotecha, Ritesh R.
Publikováno v:
In Clinical Genitourinary Cancer February 2025 23(1)
Autor:
Endre Sik, Noémi Loncsák, Krisztina Nagy, Maszlag Fanni, Pallai Anita, Virag Adam, Surányi Rachel, Szep Dorottya, Elek Luca, Felix Aniko, Balogh-Szabo Kitti, Perhocs Peter, Szoke Timea, Toth Zsofia, Halasz Dora, Simon Barbara, Gagyi Nikolett, Szalma Balazs, Kolompar Alexandra, Pulay Virag Borbala, Szontagh Veronika, Balint Petra, Bankuti Anna, Morvay Judit, Szilagyi Sara, Tamasi Judit, Andrasi Vivien, Katona Reka, Lisztesne Lippai Szandra, Virag Hajnalka Margit, Mikson Anna Lejla, Gegeny Janos, Kiraly Emma, Soltesz Patricia, Racz Valeria, Bernath Viktoria, Ritea Raul Nicolae, Meszaros Diana, Prikryl Edina, Schwarcz Fruzsina, Eker Nora Amira, Tandor Anna Darinka, Kacsandi Ferenc, Szollosi Lajos, Rusznak David, Giricz Monika, Suto Timea, Vorosmarty Virag, Laszlo Attila, Nagy Zsolt, Toth Bernadett, Verba Bettina, Kosa Anett, Zimbo Gabriella
Publikováno v:
Metszetek, Vol 6, Iss Különszám (2022)
Externí odkaz:
https://doaj.org/article/ccf6e98a0502462e94f62156a06dfc23
Autor:
Butler, G.A., Ritea, H.B.
Publikováno v:
IEEE Transactions on Computers; 1974, Vol. C-23 Issue 4, p410-420, 11p
Autor:
J.E. Shoup-Hummel, Donald E. Walker, M.F. Medress, Allen Newell, M.H. O'Malley, E.P. Neuburg, D.H. Klatt, Cordell Green, D. R. Reddy, J. W. Forgie, B. Ritea, F.S. Cooper, William A. Woods
Publikováno v:
Artificial Intelligence. 9:307-316
A five-year interdisciplinary effort by speech scientists and computer scientists has demonstrated the feasibility of programming a computer system to “understand” connected speech, i.e., translate it into operational form and respond accordingly
Autor:
G. A. Butler, H.B. Ritea
Publikováno v:
IEEE Transactions on Computers. :410-420
Although mutual information (MI) has been proposed for some time as a measure of the dependence between the class variable and pattern recognition features, it is only recently that the practical problems of designing computer programs to use MI have
Autor:
H B Ritea, Iris Kameny
The Vicens-Reddy system is unique in the sense that it approaches the problem of speech recognition as a whole, rather than treating particular aspects of the problem as in previous attempts. For example, where earlier systems treated only segmentati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22ea94c5a9f4b77c9a7855ddd92a8103
https://doi.org/10.21236/ad0717624
https://doi.org/10.21236/ad0717624
Autor:
H Barry Ritea, Iris Kameny
The document provides a detailed description and analysis of the recognition algorithms used in the Vicens-Reddy speech recognition system.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d94be20dffebad2649f99fc5dafeeeb8
https://doi.org/10.21236/ad0721700
https://doi.org/10.21236/ad0721700
Autor:
H Barry Ritea, Iris Kameny
The document provides a detailed description and analysis of the preprocessing and segmentation procedures used in the Vicens-Reddy speech recognition system.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77ba7145f1090b55281790b47619cee9
https://doi.org/10.21236/ad0717625
https://doi.org/10.21236/ad0717625
Autor:
H Barry Ritea, Iris Kameny
The document establishes document series TM-4652 for the analysis and development of the Vicens-Reddy speech recognition system. This series includes documents describing hardware, preprocessing, segmentation, recognition and lexicon design and usage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95eac6449c3a3e085949230a99568d82
https://doi.org/10.21236/ad0717622
https://doi.org/10.21236/ad0717622
Autor:
H. B. Ritea, R. A. Gillmann
Publikováno v:
The Journal of the Acoustical Society of America. 62:S62-S62
A series of experiments as performed to compare the relative subjective quality of synthetic speech produced by several different sets of prestored filter parameters. These include (1) linear prediction coefficients, (2) reflection coefficients (k pa