ctc-baseline_mms_set_3

bartelds/ctc-baseline_mms_set_3

ctc-baseline_mms_set_3 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 3.

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License: cc-by-nc-4.0
Access: Public
Created: Mar 3, 2025
Updated: Mar 3, 2025
SHA: 308e3813

Model card

From the Hugging Face model README

CTC-Baseline MMS-based ASR model - set 3

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 3.

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_3/config.yaml"
asr_model_file = "ctc-baseline_mms_set_3/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.yaml and checkpoint file.
Ensure any external resources referenced in config.yaml are available at the indicated relative paths.

License: cc-by-nc-4.0
Languages: multilingual
Created: Mar 3, 2025
Updated: Mar 3, 2025