Zobrazeno 1 - 10
of 4 214
pro vyhledávání: '"Valin A"'
Autor:
Ploerer, Eduardo, Baba, Hitoshi, Baudot, Jerome, Besson, Auguste, Bugiel, Szymon, Chujo, Tatsuya, Colledani, Claude, Dorokhov, Andrei, Bitar, Ziad El, Goffe, Mathieu, Gunji, Taku, Hu-Guo, Christine, Ilg, Armin, Jaaskelainen, Kimmo, Katsuno, Towa, Kluge, Alexander, Kostina, Anhelina, Kumar, Ajit, Lorenzetti, Alessandra, Macchiolo, Anna, Mager, Magnus, Park, Jonghan, Sakai, Shingo, Senyukov, Serhiy, Shamas, Hasan, Shibata, Daito, Snoeys, Walter, Stanek, Pavel, Suljic, Miljenko, Tomasek, Lukas, Valin, Isabelle, Wada, Reita, Yamaguchi, Yorito, Collaboration, the ALICE
Within the context of the ALICE ITS3 collaboration, a set of MAPS small-scale test structures were developed using the 65 nm TPSCo CMOS imaging process with the upgrade of the ALICE inner tracking system as its primary focus. One such sensor, the Cir
Externí odkaz:
http://arxiv.org/abs/2411.08740
Autor:
Aihara, H., Aloisio, A., Auguste, D. P., Aversano, M., Babeluk, M., Bahinipati, S., Banerjee, Sw., Barbero, M., Baudot, J., Beaubien, A., Becherer, F., Bergauer, T., Bernlochner., F. U., Bertacchi, V., Bertolone, G., Bespin, C., Bessner, M., Bettarini, S., Bevan, A. J., Bhuyan, B., Bona, M., Bonis, J. F., Borah, J., Bosi, F., Boudagga, R., Bozek, A., Bračko, M., Branchini, P., Breugnon, P., Browder, T. E., Buch, Y., Budano, A., Campajola, M., Casarosa, G., Cecchi, C., Chen, C., Choudhury, S., Corona, L., de Marino, G., De Nardo, G., De Pietro, G., de Sangro, R., Dey, S., Dingfelder, J. C., Dong, T. V., Dorokhov, A., Dujany, G., Epifanov, D., Federici, L., Ferber, T., Fillinger, T., Finck, Ch., Finocchiaro, G., Forti, F., Frey, A., Friedl, M., Gabrielli, A., Gaioni, L., Gao, Y., Gaudino, G., Gaur, V., Gaz, A., Giordano, R., Giroletti, S., Gobbo, B., Godang, R., Haide, I., Han, Y., Hara, K., Hayasaka, K., Hearty, C., Heidelbach, A., Higuchi, T., Himmi, A., Hoferichter, M., Howgill, D. A., Hu-Guo, C., Iijima, T., Inami, K., Irmler, C., Ishikawa, A., Itoh, R., Iyer, D., Jacobs, W. W., Jaffe, D. E., Jin, Y., Junginger, T., Kandra, J., Kojima, K., Koga, T., Korobov, A. A., Korpar, S., Križan, P., Krüger, H., Kuhr, T., Kumar, A., Kumar, R ., Kuzmin, A., Kwon, Y. -J., Lacaprara, S., Lacasta, C., Lai, Y. -T., Lalwani, K., Lam, T., Lanceri, L., Lee, M. J., Leonidopoulos, C., Levit, D., Lewis, P. M., Libby, J. F., Liu, Q. Y., Liu, Z. Y., Liventsev, D., Longo, S., Mancinelli, G., Manghisoni, M., Manoni, E., Marinas, C., Martellini, C., Martens, A., Massa, M., Massaccesi, L., Mawas, F., Mazorra, J., Merola, M., Miller, C., Minuti, M., Mizuk, R., Modak, A., Moggi, A., Mohanty, G. B., Moneta, S., Muller, Th., Na, I., Nakamura, K. R., Nakao, M., Natochii, A., Niebuhr, C., Nishida, S., Novosel, A., Pangaud, P., Parker, B., Passeri, A., Pedlar, T. K., Peinaud, Y., Peng, Y., Peschke, R., Pestotnik, R., Pham, T. H., Piccolo, M., Piilonen, L. E., Prell, S., Purohit, M. V., Ratti, L., Re, V., Reuter, L., Riceputi, E., Ripp-Baudot, I., Rizzo, G., Roney, J. M., Russo, A., Sandilya, S., Santelj, L., Savinov, V., Scavino, B., Schall, L., Schnell, G., Schwanda, C., Schwartz, A. J., Schwenker, B., Schwickardi, M., Seljak, A., Serrano, J., Shiu, J. -G., Shwartz, B., Simon, F., Soffer, A., Song, W. M., Starič, M., Stavroulakis, P., Stefkova, S., Stroili, R., Tanaka, S., Taniguchi, N., Teotia, V., Tessema, N., Thalmeier, R., Torassa, E., Trabelsi, K., Trantou, F. F., Traversi, G., Urquijo, P., Vahsen, S. E., Valin, I., Varner, G. S., Varvell, K. E., Vitale, L., Vobbilisetti, V., Wang, X. L., Wessel, C., Wienands, H. U., Won, E., Xu, D., Yamada, S., Yin, J. H., Yoshihara, K., Yuan, C. Z., Zani, L., Zong, Z., Zou, S.
We describe the planned near-term and potential longer-term upgrades of the Belle II detector at the SuperKEKB electron-positron collider operating at the KEK laboratory in Tsukuba, Japan. These upgrades will allow increasingly sensitive searches for
Externí odkaz:
http://arxiv.org/abs/2406.19421
Neural vocoders are now being used in a wide range of speech processing applications. In many of those applications, the vocoder can be the most complex component, so finding lower complexity algorithms can lead to significant practical benefits. In
Externí odkaz:
http://arxiv.org/abs/2405.21069
Autor:
Togami, Masahito, Valin, Jean-Marc, Helwani, Karim, Giri, Ritwik, Isik, Umut, Goodwin, Michael M.
We introduce a real-time, multichannel speech enhancement algorithm which maintains the spatial cues of stereo recordings including two speech sources. Recognizing that each source has unique spatial information, our method utilizes a dual-path struc
Externí odkaz:
http://arxiv.org/abs/2402.00337
Autor:
Schwickardi, M., Babeluk, M., Barbero, M., Baudot, J., Bergauer, T., Bertolone, G., Bettarini, S., Bosi, F., Breugnon, P., Buch, Y., Casarosa, G., Dujany, G., Finck, C., Forti, F., Frey, A., Himmi, A., Irmler, C., Kumar, A., Marinas, C., Massa, M., Massaccesi, L., de Cos, J. Mazzora, Minuti, M., Mondal, S., Pangaud, P., Pham, H., Ripp-Baudot, I., Rizzo, G., Schwenker, B., Valin, I.
The Belle II experiment at KEK in Japan considers upgrading its vertex detector system to address the challenges posed by high background levels caused by the increased luminosity of the SuperKEKB collider. One proposal for upgrading the vertex detec
Externí odkaz:
http://arxiv.org/abs/2311.13360
Autor:
T. N. Skipper, E. L. D'Ambro, F. C. Wiser, V. F. McNeill, R. H. Schwantes, B. H. Henderson, I. R. Piletic, C. B. Baublitz, J. O. Bash, A. R. Whitehill, L. C. Valin, A. P. Mouat, J. Kaiser, G. M. Wolfe, J. M. St. Clair, T. F. Hanisco, A. Fried, B. K. Place, H. O. T. Pye
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 12903-12924 (2024)
Formaldehyde (HCHO) is an important air pollutant with direct cancer risk and ozone-forming potential. HCHO sources are complex because HCHO is both directly emitted and produced from oxidation of most gas-phase reactive organic carbon. We update the
Externí odkaz:
https://doaj.org/article/0c93c7b196c54ab5b419ee722393fbc2
Speech codec enhancement methods are designed to remove distortions added by speech codecs. While classical methods are very low in complexity and add zero delay, their effectiveness is rather limited. Compared to that, DNN-based methods deliver high
Externí odkaz:
http://arxiv.org/abs/2309.14521
Pitch estimation is an essential step of many speech processing algorithms, including speech coding, synthesis, and enhancement. Recently, pitch estimators based on deep neural networks (DNNs) have have been outperforming well-established DSP-based t
Externí odkaz:
http://arxiv.org/abs/2309.14507
Classical speech coding uses low-complexity postfilters with zero lookahead to enhance the quality of coded speech, but their effectiveness is limited by their simplicity. Deep Neural Networks (DNNs) can be much more effective, but require high compl
Externí odkaz:
http://arxiv.org/abs/2307.06610
Autor:
Wang, Zhepei, Giri, Ritwik, Shah, Devansh, Valin, Jean-Marc, Goodwin, Michael M., Smaragdis, Paris
In this study, we present an approach to train a single speech enhancement network that can perform both personalized and non-personalized speech enhancement. This is achieved by incorporating a frame-wise conditioning input that specifies the type o
Externí odkaz:
http://arxiv.org/abs/2302.11768