ovos-stt-plugin-whisper-lm 0.0.6a11

Description

This is an OpenVoiceOS STT plugin. It combines Whisper-LM-transformers, KenLM, and large language models with Whisper ASR models from the Hugging Face library.

Install

pip install ovos-stt-plugin-whisper-lm

⚠️ Only python <=3.11 is supported by some of the dependencies.

Models

HiTZ provides pretrained n-gram models.

Each lm_model is built with the KenLM toolkit. It is based on n-gram statistics from large, domain-specific corpora. The available models are:

• Basque (eu): 5gram-eu.bin (11G)
• Galician (gl): 5gram-gl.bin (8.4G)
• Catalan (ca): 5gram-ca.bin (20G)
• Spanish (es): 5gram-es.bin (13G)

Xabier Zuazo also provides finetuned Whisper models for these languages.

Instead of an n-gram model, you can use a large language model such as Latxa.

Configuration

The example below uses the HiTZ Basque KenLM model. Adjust lm_alpha, lm_beta, and the other parameters to get the best results with your own models.

  "stt": {
    "module": "ovos-stt-plugin-whisper-lm",
    "ovos-stt-plugin-whisper-lm": {
        "model": "zuazo/whisper-medium-eu",
        "lm_repo": "HiTZ/whisper-lm-ngrams",
        "lm_model": "5gram-eu.bin",
        "lm_alpha": 0.33582369,
        "lm_beta": 0.68825565,
        "use_cuda": true
    }
  }

💡 Set lm_repo only if you want to specify a specific filename in lm_model.

To use a large language model instead of an n-gram model:

  "stt": {
    "module": "ovos-stt-plugin-whisper-lm",
    "ovos-stt-plugin-whisper-lm": {
        "model": "zuazo/whisper-medium-eu",
        "lm_model": "HiTZ/latxa-7b-v1.2",
        "lm_alpha": 2.73329396,
        "lm_beta": 0.00178595,
        "use_cuda": true
    }
  }

⚠️ Running large language models next to Whisper needs enough GPU memory.

Credits

TigreGotico developed this plugin for OpenVoiceOS under the ILENIA project.

The Ministerio para la Transformación Digital y de la Función Pública funded this plugin, and the Plan de Recuperación, Transformación y Resiliencia funded it through NextGenerationEU, within the ILENIA project, reference 2022/TL22/00215337.

The Creative Commons Attribution 4.0 International License (CC BY 4.0) covers the pretrained n-gram models. You may use, modify, and distribute these models if you credit the original creators.

@misc{dezuazo2025whisperlmimprovingasrmodels,
      title={Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages}, 
      author={Xabier de Zuazo and Eva Navas and Ibon Saratxaga and Inma Hernáez Rioja},
      year={2025},
      eprint={2503.23542},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2503.23542}, 
}