Neural audio codecs transform continuous audio signals into discrete tokens, enhancing audio compression without losing sound quality. The Source-Disentangled Neural Audio Codec (SD-Codec) is a novel technique that improves upon current models by separating and coding distinct audio sources, such as music, speech, and sound effects. This separation allows for better interpretability and precise manipulation of audio, ensuring high-quality audio reconstruction. SD-Codec's ability to disentangle audio sources enhances its adaptability for various audio processing applications.
Sort: