Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Katrin Kirchhoff"'
Autor:
Aleena Tahir, Tanveer ul Haq, Faryal Aftab, Muhammad Zaheer, Hatice Duran, Katrin Kirchhoff, Ingo Lieberwirth, Salman N. Arshad
Publikováno v:
ACS Applied Nano Materials. 6:2336-2345
Autor:
Tanja Schultz, Katrin Kirchhoff
Tanja Schultz and Katrin Kirchhoff have compiled a comprehensive overview of speech processing from a multilingual perspective. By taking this all-inclusive approach to speech processing, the editors have included theories, algorithms, and techniques
Autor:
Saket Dingliwal, Monica Sunkara, Srikanth Ronanki, Jeff Farris, Katrin Kirchhoff, Sravan Bodapati
Publikováno v:
2022 IEEE Spoken Language Technology Workshop (SLT).
Autor:
Brady Houston, Katrin Kirchhoff
Publikováno v:
2022 IEEE Spoken Language Technology Workshop (SLT).
Autor:
Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff
Publikováno v:
Interspeech 2022.
Publikováno v:
Interspeech 2022.
Autor:
Sunniya Iftikhar, Saba Aslam, Hatice Duran, Senem Çitoğlu, Katrin Kirchhoff, Ingo Lieberwirth, Manzar Sohail, Basit Yameen
Publikováno v:
Journal of Applied Polymer Science. 139
Autor:
Nilaksh Das, Monica Sunkara, Dhanush Bekal, Duen Horng Chau, Sravan Bodapati, Katrin Kirchhoff
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaloe, Tara N. Sainath, Shinji Watanabe
Publikováno v:
Mohamed, A, Lee, H, Borgholt, L, Havtorn, J D, Edin, J, Igel, C, Kirchhoff, K, Li, S-W, Livescu, K, Maaløe, L, Sainath, T N & Watanabe, S 2022, ' Self-Supervised Speech Representation Learning: A Review ', IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 6, pp. 1179-1210 . https://doi.org/10.1109/JSTSP.2022.3207050
Although supervised deep learning has revolutionized speech and audio processing, it has necessitated the building of specialist models for individual tasks and application scenarios. It is likewise difficult to apply this to dialects and languages f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::545143f4d8a2d73ad2a084dd4dafe28e
http://arxiv.org/abs/2205.10643
http://arxiv.org/abs/2205.10643