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Borrison/
jsalt26-csr-lab

Name: jsalt26-csr-lab
Availability: InStock

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JSALT 2026 — CSR Lab: Pre-trained Character ASR Model

Pre-trained weights for the JSALT 2026 Continuous Speech Recognition lab.

Model

Encoder: facebook/hubert-base-ls960 (HuBERT-base, frozen for first 1000 steps)
Output head: linear 768 → 33 (character-level vocabulary)
Loss: CTC with blank token at index 0
Tokenizer: CharacterTokenizer (33-class: <blk>, <pad>, <unk>, <bos>, <eos>, A–Z, space, apostrophe)
Training data: LibriSpeech train-clean-5 (~5.4 h)

Files

File	Description
`speech_encoder_char.pt`	`model.state_dict()` — load directly with `model.load_state_dict(...)`

Usage

python

from huggingface_hub import hf_hub_download
import torch

weights_path = hf_hub_download(repo_id="Borrison/jsalt26-csr-lab",
                                filename="speech_encoder_char.pt")
state_dict = torch.load(weights_path, map_location=device)
model.load_state_dict(state_dict)