一个可扩展的编解码器,用于基于生成和扩散模型的骨传导语音
Xiaolong Hu1, Zhe Chen1, Fuliang Yin1
1Department of Information and Communication Engineering, Dalian University of Technology (DUT), Dalian, 116023, China.
The Journal of the Acoustical Society of America
|August 19, 2025
概括
一个新的可扩展编解码器在噪音条件下提高了骨导向麦克风 (BCM) 语音质量. 这种单一网络方法简化了架构,同时改善了BCM语音和支持可变位率.
科学领域:
- 信号处理 信号处理
- 机器学习 机器学习
- 音频工程 音频工程
背景情况:
- 骨传导麦克风 (BCM) 在杂的环境中语音质量下降.
- 目前的方法将BCM编解码与带宽扩展相结合,创建复杂的系统.
研究的目的:
- 建议使用生成和扩散模型为BCM语音提供可扩展的编解码器.
- 为了简化系统架构,同时提高BCM语音质量.
主要方法:
- 开发了一个专门的编解码器架构来编码BCM语音并补充高频组件.
- 引入了一个特征提取块,以解决深度网络中的内存容量限制.
- 实施了改进块来增强重建的语音信号.
- 利用基于U-Net的扩散概率模型,将音频从8kHz提升到20kHz (48kHz采样率).
主要成果:
- 拟议的方法有效地编码和提高BCM语音质量在一个单一的网络.
- 编解码器支持各种比特率设置,而不需要进行架构更改或重新训练.
- 基于网络负载的动态数据传输调整是可行的.
- 模拟实验证实了该方法的有效性.
结论:
- 这种新型编解码器为改善BCM语音质量提供了简化和可扩展的解决方案.
- 这种方法整合了编码和增强,为不同的网络条件和比特率提供了灵活性.
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