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Application of Self-Supervised Models in Children's Speech Recognition: A Study on Reading Learning

💡 原文英文，约100词，阅读约需1分钟。
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内容提要

本研究提出了一种自监督模型，优化WavLM以提升法语儿童语音的音素识别能力。结果表明，该模型在多任务和噪声环境下表现出更强的鲁棒性，推动了儿童语音识别技术的发展。

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标签

WavLM models 法语儿童语音 自监督模型 音素识别 鲁棒性
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