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eess.AS2024
Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models
Li-Wei Chen, Takuya Higuchi, He Bai +6
Speech foundation models, such as HuBERT and its variants, are pre-trained on large amounts of unlabeled speech data and then used for a range of downstream tasks. These models use…
eess.AS2022
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech
Xiaoran Fan, Chao Pang, Tian Yuan +9
Speech representation learning has improved both speech understanding and speech synthesis tasks for single language. However, its ability in cross-lingual scenarios has not been e…
eess.AS2022★ 1 cited
AT: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
He Bai, Renjie Zheng, Junkun Chen +3
Recently, speech representation learning has improved many speech-related tasks such as speech recognition, speech classification, and speech-to-text translation. However, all the…