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Titel:

CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Kürzinger, Ludwig; Winkelbauer, Dominik; Li, Lujun; Watzel, Tobias; Rigoll, Gerhard
Abstract:
Recent end-to-end Automatic Speech Recognition (ASR) systems demonstrated the ability to outperform conventional hybrid DNN/HMM ASR. Aside from architectural improvements in those systems, those models grew in terms of depth, parameters and model capacity. However, these models also require more training data to achieve comparable performance.
Herausgeber:
Karpov, Alexey; Potapova, Rodmonga
Kongress- / Buchtitel:
Speech and Computer
Verlag / Institution:
Springer International Publishing
Verlagsort:
Cham
Jahr:
2020
Monat:
Sep
Seiten:
267--278
Print-ISBN:
978-3-030-60276-5
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