English(EN) Dialect-Robust Speech Language Models with Synthetic Pseudo-Dialect Augmentation

新方法合成伪方言语音以提升SLM性能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 02:25

研究人员开发了一种新颖的方法，通过合成伪方言语音来提高语音语言模型（SLM）在各种方言上的性能。该技术使用标准语言文本到语音模型将方言文本转换为语音，无需真实的方言语音数据。该方法在日语和德语的方言到英语语音翻译方面有所改进，并通过中间标准文本预测步骤进一步提高了性能，尤其有利于中文方言。 AI

影响增强了语音翻译模型中的方言鲁棒性，有望提高跨不同语言社区的可访问性和性能。

排序理由该集群描述了一篇研究论文，其中详细介绍了一种改进语音语言模型的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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Hugging Face Daily Papers TIER_1 English(EN) · 2026-10-07 02:25

具有合成伪方言增强的方言鲁棒语音语言模型

Speech Language Model (SLM) performance often degrades on dialects due to data scarcity. Conventional text-to-speech (TTS) augmentation struggles to cover diverse dialects as it requires a certain amount of real dialect speech. We propose synthesizing pseudo-dialect speech by con…