---
title: "Developing a Speech Language Model for Basque"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2610.36911v1"
permalink: "https://feed.astralor.com/items/itm_163a62797d4c57384465bf0c"
published: "2026-10-27T09:40:42.000Z"
score: 53
channel: "tech"
tags: ["LLM","推理效率","多模态","Developing","Speech Language Model","Basque Although","LLMs","Basque"]
---

# Developing a Speech Language Model for Basque

## 速览

Although the recent development of LLMs has paved the way for multi-modal interaction, minority languages face difficulties keeping pace. This work presents the first open Speech Language Model for Basque, designed for …

## 关键点

- Although the recent development of LLMs has paved the way for multi-modal interaction, minority languages face difficulties keeping pace.
- This work presents the first open Speech Language Model for Basque, designed for low-latency, end-to-end spoken interaction.
- Based on the LLaMA-Omni architecture, the system integrates a Latxa model as its backbone, transferring its Basque capabilities to the spoken modality by fine-tuning several modules.

## 全文

Although the recent development of LLMs has paved the way for multi-modal interaction, minority languages face difficulties keeping pace. This work presents the first open Speech Language Model for Basque, designed for low-latency, end-to-end spoken interaction. Based on the LLaMA-Omni architecture, the system integrates a Latxa model as its backbone, transferring its Basque capabilities to the spoken modality by fine-tuning several modules. To address data scarcity, the English VoiceAssistant-400K corpus was translated into Basque, and the audio was synthesized using a Basque TTS. Evaluation results confirm the system's viability, achieving 3.86/5 in content quality, a 9.94% WER for spoken intelligibility, and a 3.07 UTMOS for audio quality. This work demonstrates that advanced spoken interaction systems can be developed using modular architectures and synthetic data even in low-resource languages.

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