Powerful and Extensible WFST Framework for Rnn-Transducer Losses

التفاصيل البيبلوغرافية
العنوان: Powerful and Extensible WFST Framework for Rnn-Transducer Losses
المؤلفون: Laptev, Aleksandr, Bataev, Vladimir, Gitman, Igor, Ginsburg, Boris
المصدر: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2023 - 2023 IEEE International Conference on. :1-5 Jun, 2023
Relation: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
قاعدة البيانات: IEEE Xplore Digital Library
الوصف
ردمك:9781728163277
تدمد:2379190X
DOI:10.1109/ICASSP49357.2023.10096679