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ctc-baseline_mms_set_2
bartelds/ctc-baseline_mms_set_2
ctc-baseline_mms_set_2 is a machine learning model from bartelds. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
This repository contains a CTC-Baseline MMS-based automatic speech recognition (ASR) model trained with ESPnet. The model was trained on balanced training data from set 2.
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At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Mar 3, 2025
- Updated
- Mar 3, 2025
- SHA
- c8342d3f
Model card
From the Hugging Face model README
CTC-Baseline MMS-based ASR model - set 2
This repository contains a CTC-Baseline MMS-based automatic speech recognition (ASR) model trained with ESPnet.
The model was trained on balanced training data from set 2.
Intended Use
This model is intended for ASR. Users can run inference using the provided checkpoint (valid.loss.best.pth) and configuration file (config.yaml):
import soundfile as sf
from espnet2.bin.asr_inference import Speech2Text
asr_train_config = "ctc-baseline_mms_set_2/config.yaml"
asr_model_file = "ctc-baseline_mms_set_2/valid.loss.best.pth"
model = Speech2Text.from_pretrained(
asr_train_config=asr_train_config,
asr_model_file=asr_model_file
)
speech, _ = sf.read("input.wav")
text, *_ = model(speech)[0]
print("Recognized text:", text)
How to Use
- Clone this repository.
- Use ESPnet’s inference scripts with the provided
config.yamland checkpoint file. - Ensure any external resources referenced in
config.yamlare available at the indicated relative paths.
- License
- cc-by-nc-4.0
- Languages
- multilingual
- Created
- Mar 3, 2025
- Updated
- Mar 3, 2025