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Reader v2: 6 layers, LibriSpeech 960 h (test-clean WER 4.21 %, test-other 10.42 %)
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EmbeddingGemma-2-Transcribe-Reader — NOTICE
This repository holds reader v2 of EmbeddingGemma 2 Transcribe, licensed under the Apache License, Version 2.0
(see LICENSE).
- reader.pt: reader weights trained by mlboydaisuke (john-rocky), 2026-10, with CTC on LibriSpeech train-clean-100,
train-clean-360 and train-other-500:
V. Panayotov, G. Chen, D. Povey, S. Khudanpur, "Librispeech: an ASR corpus based on public domain audio books",
ICASSP 2015, https://www.openslr.org/12, licensed under CC BY 4.0
(https://creativecommons.org/licenses/by/4.0/). The audio is not redistributed here.
- word_table.npy: text embeddings of the vocabulary words computed with EmbeddingGemma 2
(google/embeddinggemma-2, revision 914f7f89142e33e77833254d9c9b90c3cef7303b, Google DeepMind), licensed under the
Apache License, Version 2.0. Deployments of EmbeddingGemma 2 must adhere to the Gemma Prohibited Use Policy
(https://ai.google.dev/gemma/prohibited_use_policy).
- vocab.txt: the words of the LibriSpeech lexicon (https://www.openslr.org/11, public domain), lower case.
- The reader reads soft tokens produced by the EmbeddingGemma 2 audio encoder, which is not part of this repository.
Code: the reader/train directory of the eg2-transcribe repository (train.py, model.py, make_table.py, eval_wer.py).
Keep this NOTICE together with the LICENSE file when redistributing.