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4 papers · 1 filter
Self-Supervised Representations Improve End-to-End Speech Translation
Anne Wu, Changhan Wang, Juan Pino +1
End-to-end speech-to-text translation can provide a simpler and smaller system but is facing the challenge of data scarcity. Pre-training methods can leverage unlabeled data and ha…
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation
Changhan Wang, Juan Pino, Jiatao Gu
Transfer learning from high-resource languages is known to be an efficient way to improve end-to-end automatic speech recognition (ASR) for low-resource languages. Pre-trained or j…
Spatial Attention for Far-field Speech Recognition with Deep Beamforming Neural Networks
Weipeng He, Lu Lu, Biqiao Zhang +3
In this paper, we introduce spatial attention for refining the information in multi-direction neural beamformer for far-field automatic speech recognition. Previous approaches of n…
Multilingual Graphemic Hybrid ASR with Massive Data Augmentation
Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang +3
Towards developing high-performing ASR for low-resource languages, approaches to address the lack of resources are to make use of data from multiple languages, and to augment the t…