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.SD2023
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR
Jintao Jiang, Yingbo Gao, Zoltan Tuske
In this paper, we aim to create weak alignment supervision from an existing hybrid system to aid the end-to-end modeling of automatic speech recognition. Towards this end, we use t…