Codec2Vec: Unveiling Speech Representations with Neural Codecs

This research introduces a novel self-supervised approach to speech representation learning, leveraging neural speech codecs. The approach is likely to improve downstream speech tasks by providing richer and more robust representations of audio data.

• •Proposes a new method for learning speech representations.
• •Utilizes neural speech codecs for self-supervision.
• •Potentially improves performance on speech-related tasks.