This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech...

TL;DR


Summary:
- This article discusses a new AI-based approach for improving the quality of speech recordings by reducing background noise and distortion.
- The proposed method uses a "dual-branch encoder-decoder architecture" to process the audio signal and enhance the speech while preserving the original voice characteristics.
- The researchers claim this unsupervised speech enhancement technique can be useful for various applications, such as improving the quality of voice recordings in video calls, virtual assistants, and other communication systems.

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