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English(EN) SE-AGCNet: An End-to-End Framework for Joint Speech Enhancement and Loudness Control in Meeting Scenarios

新框架联合优化语音增强与响度控制

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了SE-AGCNet，一个新颖的端到端框架，旨在联合优化会议场景下的语音增强（SE）和自动增益控制（AGC）。这种方法解决了传统流水线中离散的SE和AGC模块可能导致噪声放大或过度抑制轻声语音的局限性。通过集成这些功能，SE-AGCNet旨在在提高语音质量和自动语音识别（ASR）准确性的同时，保持一致的响度。 AI

影响 这项研究可能带来更清晰的虚拟会议音频，并提高基于语音的AI应用的性能。

排序理由 该集群描述了一篇关于音频处理新框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新框架联合优化语音增强与响度控制

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该集群描述了一篇关于音频处理新框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Eng Siong Chng ·

    SE-AGCNet：会议场景下语音增强与响度控制的端到端联合框架

    Conventional audio pipelines typically treat speech enhancement (SE) and automatic gain control (AGC) as discrete modules, which often limits overall performance. For instance, applying AGC before SE may inadvertently amplify background noise, while prioritizing SE tends to over-…

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