Adapting multilingual speech representation model for a new, underresourced language through multilingual fine-tuning and continued pretraining
Adapting multilingual speech representation model for a new, underresourced language through multilingual fine-tuning and continued pretraining
复制标题
通过多语言微调和持续预训练,使多语言语音表示模型适应新的资源不足的语言
DOI:
10.1016/j.ipm.2022.103148
复制
发表时间:
2023
影响因子:
8.6
通讯作者:
Nieuwazny Jagna
中科院分区:
文献类型:
--
作者:
Nowakowski Karol;Ptaszynski Michal;Murasaki Kyoko;Nieuwazny Jagna