Josef V. Psutka, Jan Svec, Ales Prazák. CNN-TDNN-Based Architecture for Speech Recognition Using Grapheme Models in Bilingual Czech-Slovak Task. In Kamil Ekstein, Frantisek Pártl, Miloslav Konopík, editors, Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6-9, 2021, Proceedings. Volume 12848 of Lecture Notes in Computer Science, pages 523-533, Springer, 2021. [doi]
@inproceedings{PsutkaSP21,
title = {CNN-TDNN-Based Architecture for Speech Recognition Using Grapheme Models in Bilingual Czech-Slovak Task},
author = {Josef V. Psutka and Jan Svec and Ales Prazák},
year = {2021},
doi = {10.1007/978-3-030-83527-9_45},
url = {https://doi.org/10.1007/978-3-030-83527-9_45},
researchr = {https://researchr.org/publication/PsutkaSP21},
cites = {0},
citedby = {0},
pages = {523-533},
booktitle = {Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6-9, 2021, Proceedings},
editor = {Kamil Ekstein and Frantisek Pártl and Miloslav Konopík},
volume = {12848},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-83527-9},
}