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High-Fidelity-Speech-Enhancement-with-Band-Split-RNN

轻量化模型设计

2023 年 QQ 音乐与 AI lab 合作推出了一个子带分离模型 BSRNN,其基本原理包括两个方面,首先是对整个信号的一个频域进行子带的切分,切分之后从时域帧间序列建模,再对频域子带进行序列建模。

相关领域应用情况

音乐源分离: Music Source Separation with Band-Split RNN

语音增强: High Fidelity Speech Enhancement with Band-Split RNN

个性化语音增强: Personalized Speech Enhancement Combining Band-Split RNN and Speaker Attentive Module

数据集

下载地址:https://datashare.ed.ac.uk/handle/10283/2791

参考代码:

https://github.com/sungwon23/BSRNN (调整 DPRNN 排列方式)

https://github.com/ruizhecao96/CMGAN (Metric GAN 学习客观评价指标)

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