Zobrazeno 1 - 10
of 1 924
pro vyhledávání: '"Muniyappa A"'
Publikováno v:
Advances in Mechanical Engineering, Vol 10 (2018)
Rolling element bearings are one of the most precarious components and play an important role in the effective operation of rotating machinery. Bearings are one of the foremost sources of nonlinearity in rotating machineries which significantly affec
Externí odkaz:
https://doaj.org/article/64fa1bc012bc43dc9ca17a4b57fde46e
Autor:
Sahai, Saumya Y., Liu, Jing, Muniyappa, Thejaswi, Sathyendra, Kanthashree M., Alexandridis, Anastasios, Strimel, Grant P., McGowan, Ross, Rastrow, Ariya, Chang, Feng-Ju, Mouchtaris, Athanasios, Kunzmann, Siegfried
We present dual-attention neural biasing, an architecture designed to boost Wake Words (WW) recognition and improve inference time latency on speech recognition tasks. This architecture enables a dynamic switch for its runtime compute paths by exploi
Externí odkaz:
http://arxiv.org/abs/2304.01905
Autor:
Chang, Feng-Ju, Muniyappa, Thejaswi, Sathyendra, Kanthashree Mysore, Wei, Kai, Strimel, Grant P., McGowan, Ross
Personalization in multi-turn dialogs has been a long standing challenge for end-to-end automatic speech recognition (E2E ASR) models. Recent work on contextual adapters has tackled rare word recognition using user catalogs. This adaptation, however,
Externí odkaz:
http://arxiv.org/abs/2303.17799
Autor:
Chaitra Chandraiah, Hullekere Mahadevaiah Kalpana, Challaghatta Muniyappa Ananda, Madhusudan B. Kulkarni
Publikováno v:
Micro, Vol 4, Iss 3, Pp 401-411 (2024)
This work delves into the preparation of ATO thin films and their characterization, fabrication, and calibration of a NO2 gas sensor, as well as the development of the packaged sensor. ATO thin films were prepared by e-beam evaporation using green sy
Externí odkaz:
https://doaj.org/article/dd21bbfb46eb4982aa47af24a0318598
Publikováno v:
Saudi Journal of Anaesthesia, Vol 18, Iss 3, Pp 447-449 (2024)
Restricted mouth opening is a challenging airway in pediatric patients with temperomandibular joint (TMJ) ankylosis. The fiber-optic bronchoscopic nasotracheal intubation technique continues to be the gold standard for difficult airway, among the tec
Externí odkaz:
https://doaj.org/article/21d49e2a17bf4b0fb5c4d279485e31f2
Autor:
Vinay Gangaraju, Navya Rani M, Kunal Roy, Tathagata Sardar, Manikanta P Narayanaswamy, Murthy Muniyappa, Prasanna D Shivaramu, Dinesh Rangappa
Publikováno v:
Carbon Trends, Vol 17, Iss , Pp 100418- (2024)
Natural biomass-derived carbon nanostructures have attracted research interest because of their unique surface and electrochemical properties. The present study embodied the carbonized micro-nano sheets derived from the low-cost natural source Kapok
Externí odkaz:
https://doaj.org/article/09e73f975ce04021862249fbc0f8ddff
Autor:
Sathyendra, Kanthashree Mysore, Muniyappa, Thejaswi, Chang, Feng-Ju, Liu, Jing, Su, Jinru, Strimel, Grant P., Mouchtaris, Athanasios, Kunzmann, Siegfried
Personal rare word recognition in end-to-end Automatic Speech Recognition (E2E ASR) models is a challenge due to the lack of training data. A standard way to address this issue is with shallow fusion methods at inference time. However, due to their d
Externí odkaz:
http://arxiv.org/abs/2205.13660
Autor:
Jakob, Julian, Schwerdtel, Fiona, Sidney, Steve, Rodondi, Nicolas, Pletcher, Mark J., Reis, Jared P., Muniyappa, Ranganath, Clair, Carole, Tal, Kali, Bancks, Michael P., Rana, Jamal S., Collet, Tinh-Hai, Auer, Reto
Publikováno v:
In European Journal of Internal Medicine November 2024 129:41-47
Autor:
Agarwal, Ankit, Muniyappa, Kalappa
Publikováno v:
In Journal of Biological Chemistry October 2024 300(10)
Autor:
Wei, Kai, Tran, Thanh, Chang, Feng-Ju, Sathyendra, Kanthashree Mysore, Muniyappa, Thejaswi, Liu, Jing, Raju, Anirudh, McGowan, Ross, Susanj, Nathan, Rastrow, Ariya, Strimel, Grant P.
Publikováno v:
ASRU2021
Recent years have seen significant advances in end-to-end (E2E) spoken language understanding (SLU) systems, which directly predict intents and slots from spoken audio. While dialogue history has been exploited to improve conventional text-based natu
Externí odkaz:
http://arxiv.org/abs/2112.06743