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T5-small Phoneme-to-Text Transformer

Model Overview

This model converts sequences of ARPABET phonemes into readable English text. It fine-tunes the T5-small model using a phoneme–text dataset derived from BookCorpus.

Metric	Score
Character Error Rate (CER)	0.1377
BLEU	0.6299
chrF	77.72

Example:

Input: SH IY K AE N AO L W EY Z D UW B EH T ER
Output: she can always do better

See full details in the paper: Phoneme-to-Text Transformation using a Sequence-to-Sequence T5 Model. License: CC BY-NC 4.0 Author: Zane Graper, 2025

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Model size

60.5M params

Tensor type

F32

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