2 papers
cs.CL2024
Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR
Jintao Jiang, Yingbo Gao, Mohammad Zeineldeen +1
In this paper, alternating weak triphone/BPE alignment supervision is proposed to improve end-to-end model training. Towards this end, triphone and BPE alignments are extracted usi…
cs.CL2023
Improving Language Model Integration for Neural Machine Translation
Christian Herold, Yingbo Gao, Mohammad Zeineldeen +1
The integration of language models for neural machine translation has been extensively studied in the past. It has been shown that an external language model, trained on additional…