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Статті в журналах з теми "Multi-channel ASR"
Yun, Dajung, and Kyoungwon Lee. "Changes of the Korean Consonant-Vowel Syllabic Recognition Scores According to the Compression Threshold Control of Multi-Channel Hearing Aid." Audiology and Speech Research 16, no. 4 (October 31, 2020): 321–28. http://dx.doi.org/10.21848/asr.200061.
Повний текст джерелаWang, Zhong-Qiu, Peidong Wang, and DeLiang Wang. "Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR." IEEE/ACM Transactions on Audio, Speech, and Language Processing 28 (2020): 1778–87. http://dx.doi.org/10.1109/taslp.2020.2998279.
Повний текст джерелаShin, Suyeon, and Kyoungwon Lee. "Comparisons of Sentence Recognition Scores and Preferences according to Compression Types in a Multi-Channel Hearing Aid." Audiology and Speech Research 13, no. 1 (January 25, 2017): 88–94. http://dx.doi.org/10.21848/asr.2017.13.1.88.
Повний текст джерелаKim, Seeon, and Kyoungwon Lee. "Changes of Consonant Recognition and Sound Quality as a Function of Compression Threshold on Multi-Channel Hearing Aids." Audiology and Speech Research 15, no. 1 (January 31, 2019): 23–29. http://dx.doi.org/10.21848/asr.2019.15.1.23.
Повний текст джерелаLin, Shaoxiong, Wangyou Zhang, and Yanmin Qian. "Two-Stage Single-Channel Speech Enhancement with Multi-Frame Filtering." Applied Sciences 13, no. 8 (April 14, 2023): 4926. http://dx.doi.org/10.3390/app13084926.
Повний текст джерелаJeong, Jihaeng, and Kyoungwon Lee. "Changes of Non-Sense Syllabic Word Scores and Preferences as a Function of Release Time on Multi-Channel Hearing Aids." Audiology and Speech Research 14, no. 4 (October 31, 2018): 250–58. http://dx.doi.org/10.21848/asr.2018.14.4.250.
Повний текст джерелаBang, Eojini, and Kyoungwon Lee. "A Study on the Preferred Real-Ear Insertion Gain of Multi-Channel Hearing Aid for the Korean with Sensorineural Hearing Loss." Audiology and Speech Research 16, no. 2 (April 30, 2020): 85–94. http://dx.doi.org/10.21848/asr.200006.
Повний текст джерелаAysa, Zuhragvl, Mijit Ablimit, Hankiz Yilahun, and Askar Hamdulla. "Language Identification-Based Evaluation of Single Channel Speech Separation of Overlapped Speeches." Information 13, no. 10 (October 11, 2022): 492. http://dx.doi.org/10.3390/info13100492.
Повний текст джерелаLiu, Cai Xia, Xiao Qing Tian, and Zhi Bin Zhang. "Optimal Space Management Mechanism of Sharable Multi-Channel On-Chip Memory." Advanced Materials Research 629 (December 2012): 542–47. http://dx.doi.org/10.4028/www.scientific.net/amr.629.542.
Повний текст джерелаKareem, B., and A. A. Aderoba. "Development of a Heuristics Model for Simplifying a Multi-Channel Queuing System." Advanced Materials Research 367 (October 2011): 647–52. http://dx.doi.org/10.4028/www.scientific.net/amr.367.647.
Повний текст джерелаДисертації з теми "Multi-channel ASR"
Koepke, Corbin G. (Corbin Gene) 1977. "Multi-mission optimized re-planning in air mobility command's channel route execution." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17726.
Повний текст джерелаIncludes bibliographical references (p. 143-145).
The United States Air Force's Air Mobility Command is responsible for creating a schedule and executing that schedule for a large-scale air mobility network that encompasses different mission areas. One of the mission areas is channel route. Channel route execution often experiences disruptions that motivate a need for changes in the current channel route schedule. Traditionally, re-planning the channel route schedule has been a manual process that usually stops after the first feasible set of changes is found, due to the challenges of large amounts of data and urgency for a re-plan. Other challenges include subjective trade-offs and a desire for minimal changes to the channel route schedule. We re-plan the channel route schedule using a set of integer programs and heuristics that overcomes these challenges. The integer programs' variables incorporate many of Air Mobility Command's operating constraints, so they do not have to be explicitly included in the formulations. The re-plan uses opportunities in the other mission areas and reroutes channel route aircraft. Finally, our methods can quickly find a solution, allow for "what-if' analysis and interaction with the user, and can be adapted to an evolution in Air Mobility Command's operations while the underlying models remain constant.
by Corbin G. Koepke.
S.M.
Belhabib, Mounia. "Investigation on radio channel over the air emulation by multi-probe setup." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S070/document.
Повний текст джерелаThe need for high data-rate, reliable and low latency transmission in wireless communication systems motivated a multitude of wireless standards, spanning from 3G-4G, WLAN to the upcoming fifth generation (5G) of mobile networks. In this context, technology providers, as well as operators, need to develop accurate and cost effective standard test methods, to evaluate devices performance. Over-The-Air (OTA) test methodologies aim to reproduce radio multipath environments in laboratory in repeatable and controllable manner, avoiding costly field test. The focus of this thesis is to propose a new OTA test methodology, in order to emulate radio channel propagation, over a wide band, and to evaluate the performance of the wireless systems in real environments. We start our study by introducing the basics of radio channel and some channel models presented in literature. Then a critical review of existing OTA methodologies in literature is provided. Among the different methodologies we opted for the multi-probe anechoic chamber approach, which consists into deploying a number of probes around a device, and feed them with fading emulator. This methodology provides an accurate reproduction of spatial channel characteristics, which are needed to assess the performance of multi-antenna terminals in real environments. The most important advantage of this methodology is the capability to emulate different channel model in term of spatial resolution, angular and temporal fading. A simulation tool was developed to investigate and determine the OTA setup under different channel condition. In particular the number and emplacement of antennas needed and the size of the setup were investigated as a function of the electrical size of the device under test. Based on the dimensioning studies, an experimental OTA setup was realized to reproduce the channel characteristics in the three dimensional space for a frequency range from 2 to 6 GHz
Christopoulos, Charitos Andreas. "Brain disease classification using multi-channel 3D convolutional neural networks." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-174329.
Повний текст джерелаКниги з теми "Multi-channel ASR"
Mal'shina, N., and Andrey Garnov. MODERN PRINCIPLES ANALYSIS OF RESOURCE FLOWS IN CRISIS CONDITIONS: CULTURE AND CREATIVE INDUSTRY. xxu: Academus Publishing, 2020. http://dx.doi.org/10.31519/978-1-4946-0018-1.
Повний текст джерелаMal'shina, Nataliya, and Andrey Garnov. Culture and creative industry: the control of flow processes. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1158704.
Повний текст джерелаNg, Kia, Atta Badii, and Pierfrancesco Bellini, eds. Axmedis 2006. Proceedings of the 2nd International Conference on Automated Production of Cross Media Content for Multi-channel Distribution. Volume for Workshops, Tutorials, Applications and Industrial (Leeds, UK, 13-15 December 2006). Florence: Firenze University Press, 2006. http://dx.doi.org/10.36253/88-8453-525-5.
Повний текст джерелаЧастини книг з теми "Multi-channel ASR"
Gabler, Manuel, Knut Paasche, and Ragnheiður Traustadóttir. "Experiences from motorized GPR surveys in Iceland." In Advances in On- and Offshore Archaeological Prospection, 221–30. Kiel: Universitätsverlag Kiel | Kiel University Publishing, 2023. http://dx.doi.org/10.38072/978-3-928794-83-1/p23.
Повний текст джерелаJung Kim, Hyung, Deock Gu Jee, Man Ho Park, Byung Sik Yoon, and Song In Choi. "The Real-Time Implementation of Multi-channel AMR Codec Using TMS320C62xx DSP." In Mobile Communications, 373–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36555-9_38.
Повний текст джерелаDuan, Fuqiao, Kai Mao, Qiuming Zhu, Yanheng Qiu, Xiaomin Chen, and Zhipeng Lin. "Design and Optimization of Sounding Sequence for Multi-antenna Air-to-ground Channel Measurements." In Lecture Notes in Electrical Engineering, 347–55. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1260-5_44.
Повний текст джерелаFan, Xianguang, Hailing Mao, Chengxiang Zhu, Juntao Wu, Yingjie Xu, and Xin Wang. "Design of Multi-channel Pressure Data Acquisition System Based on Resonant Pressure Sensor for FADS." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 446–55. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_46.
Повний текст джерелаMaltsev, Alexander, Olesya Bolkhovskaya, Vadim Sergeev, Anton Elokhin, and Alexander Kokarev. "3D Air-Ground Channel Model Reconstruction Based on the Experimental Data and Q-D Method." In Machine Learning and Artificial Intelligence. IOS Press, 2020. http://dx.doi.org/10.3233/faia200799.
Повний текст джерелаSikirda, Yuliya, Mykola Kasatkin, and Dmytro Tkachenko. "Intelligent Automated System for Supporting the Collaborative Decision Making by Operators of the Air Navigation System During Flight Emergencies." In Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries, 66–90. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1415-3.ch003.
Повний текст джерелаGuire, Joseph Lee, C. Byron Winn, and Patrick J. Burns. "A MULTI-CHANNEL, LOW VELOCITY, HOT FILM ANEMOMETRY SYSTEM FOR MEASURING AIR FLOWS IN BUILDINGS." In Advances In Solar Energy Technology, 3165–69. Elsevier, 1988. http://dx.doi.org/10.1016/b978-0-08-034315-0.50579-6.
Повний текст джерелаТези доповідей конференцій з теми "Multi-channel ASR"
Gaudesi, Marco, Felix Weninger, Dushyant Sharma, and Puming Zhan. "ChannelAugment: Improving Generalization of Multi-Channel ASR by Training with Input Channel Randomization." In 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). IEEE, 2021. http://dx.doi.org/10.1109/asru51503.2021.9687902.
Повний текст джерелаWolf, Martin, and Climent Nadeu. "Channel selection using n-best hypothesis for multi-microphone ASR." In Interspeech 2013. ISCA: ISCA, 2013. http://dx.doi.org/10.21437/interspeech.2013-266.
Повний текст джерелаYu, Fan, Shiliang Zhang, Pengcheng Guo, Yuhao Liang, Zhihao Du, Yuxiao Lin, and Lei Xie. "MFCCA:Multi-Frame Cross-Channel Attention for Multi-Speaker ASR in Multi-Party Meeting Scenario." In 2022 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2023. http://dx.doi.org/10.1109/slt54892.2023.10022715.
Повний текст джерелаKim, Hyeongju, Hyeonseung Lee, Woo Hyun Kang, Hyung Yong Kim, and Nam Soo Kim. "Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/518.
Повний текст джерелаHeymann, Jahn, Lukas Drude, Christoph Boeddeker, Patrick Hanebrink, and Reinhold Haeb-Umbach. "Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7953173.
Повний текст джерелаTu, Yan-Hui, Jun Du, Nan Zhou, and Chin-Hui Lee. "Online LSTM-based Iterative Mask Estimation for Multi-Channel Speech Enhancement and ASR." In 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2018. http://dx.doi.org/10.23919/apsipa.2018.8659564.
Повний текст джерелаWang, Xiaofei, Naoyuki Kanda, Yashesh Gaur, Zhuo Chen, Zhong Meng, and Takuya Yoshioka. "Exploring End-to-End Multi-Channel ASR with Bias Information for Meeting Transcription." In 2021 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2021. http://dx.doi.org/10.1109/slt48900.2021.9383500.
Повний текст джерелаOllerenshaw, A., M. A. Jalal, and T. Hain. "Insights of Neural Representations in Multi-Banded and Multi-Channel Convolutional Transformers for End-to-End ASR." In 2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022. http://dx.doi.org/10.23919/eusipco55093.2022.9909875.
Повний текст джерелаPasa, Luca, Giovanni Morrone, and Leonardo Badino. "An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-Talker Single Channel Audio-Visual ASR." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9054697.
Повний текст джерелаKeskin, Gokce, Minhua Wu, Brian King, Harish Mallidi, Yang Gao, Jasha Droppo, Ariya Rastrow, and Roland Maas. "Do You Listen with one or two Microphones? A Unified ASR Model for Single and Multi-Channel Audio." In 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE, 2022. http://dx.doi.org/10.1109/iwaenc53105.2022.9914704.
Повний текст джерелаЗвіти організацій з теми "Multi-channel ASR"
Goeckeritz, Joel, Nathan Schank, Ryan L Wood, Beverly L Roeder, and Alonzo D Cook. Use of Urinary Bladder Matrix Conduits in a Rat Model of Sciatic Nerve Regeneration after Nerve Transection Injury. Science Repository, December 2022. http://dx.doi.org/10.31487/j.rgm.2022.03.01.
Повний текст джерелаGoeckeritz, Joel, Nathan Schank, Ryan L Wood, Beverly L Roeder, and Alonzo D Cook. Use of Urinary Bladder Matrix Conduits in a Rat Model of Sciatic Nerve Regeneration after Nerve Transection Injury. Science Repository, December 2022. http://dx.doi.org/10.31487/j.rgm.2022.03.01.sup.
Повний текст джерелаEhiabhi, Jolly, and Haifeng Wang. A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0003.
Повний текст джерелаBudzich, Jeffrey. PR-685-184506-R01 Development of Risk Assessment Procedures and Tools. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2020. http://dx.doi.org/10.55274/r0011668.
Повний текст джерелаBudzich, Jeffrey. PR-685-184506-R09 Improve Upon Existing Tools to Estimate Hydrotechnical Concerns. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2023. http://dx.doi.org/10.55274/r0012249.
Повний текст джерелаBell, Gary, David Abraham, Nathan Clifton, and Lamkin Kenneth. Wabash and Ohio River confluence hydraulic and sediment transport model investigation : a report for US Army Corps of Engineers, Louisville District. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43441.
Повний текст джерелаGreinert, Jens. Mine Monitoring in the German Baltic Sea 2020; Dumped munition monitoring AL548, 03rd – 16th November 2020, Kiel (Germany) – Kiel (Germany) „MineMoni-II 2020“. GEOMAR Helmholtz Centre for Ocean Research Kiel, 2021. http://dx.doi.org/10.3289/cr_al548.
Повний текст джерелаHudgens, Bian, Jene Michaud, Megan Ross, Pamela Scheffler, Anne Brasher, Megan Donahue, Alan Friedlander та ін. Natural resource condition assessment: Puʻuhonua o Hōnaunau National Historical Park. National Park Service, вересень 2022. http://dx.doi.org/10.36967/2293943.
Повний текст джерела