A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models

Mohammad Zeineldeen, Albert Zeyer, Wei Zhou +3

Following the rationale of end-to-end modeling, CTC, RNN-T or encoder-decoder-attention models for automatic speech recognition (ASR) use graphemes or grapheme-based subword units…