Recent advancements in generative modeling have led to significant progress
in audio waveform reconstruction from diverse representations. Although
diffusion models have been used for reconstructing audio waveforms, they tend
to exhibit latency issues because they operate at the level of individual
sample points and require a relatively large number of sampling steps. In this
study, we introduce RFWave, a novel multi-band Rectified Flow approach that
reconstructs high-fidelity audio waveforms from Mel-spectrograms. RFWave is
distinctive for generating complex spectrograms and operating at the frame
level, processing all subbands concurrently to enhance efficiency. Thanks to
Rectified Flow, which aims for a flat transport trajectory, RFWave requires
only 10 sampling steps. Empirical evaluations demonstrate that RFWave achieves
exceptional reconstruction quality and superior computational efficiency,
capable of generating audio at a speed 90 times faster than real-time.

RFWave 是一种新颖的多频带矫正流方法，通过 Mel 频谱图重构高保真音频波形，具有 10 个采样步骤，可实现异常的重构质量和卓越的计算效率，速度快于实时 90 倍。