AI 中文总结
针对低资源语言巴萨语，提出一种自动语音识别方法，利用深度神经网络和Transformer架构，旨在解决资源匮乏语言的技术鸿沟。
AI 中文摘要
人工智能（AI）和自然语言处理（NLP）的快速发展彻底改变了人类与机器的交互方式。其中最具影响力的进展之一是自动语音识别（ASR），它使计算机能够将口语转换为文本。基于深度神经网络、Transformer架构和自监督学习等技术的系统，在英语和法语等资源丰富的语言上已接近人类水平。然而，这些进展不成比例地惠及了世界上少数语言。
英文摘要
The rapid advancement of Artificial Intelligence (AI) and Natural Language Processing (NLP) has revolutionized the way humans interact with machines. Among the most impactful developments is Automatic Speech Recognition (ASR), which enables computers to convert spoken language into text. Systems such as those built on deep neural networks, transformer architectures, and self-supervised learning have achieved near-human performance for well-resourced languages such as English and French. Yet, these advances have disproportionately benefited a small fraction of the world's languages.
