Audioclip: Extending Clip to Image, Text and Audio

The rapidly evolving field of sound classification has greatly benefited from the methods of other domains. Today, the trend is to fuse domain-specific tasks and approaches together, which provides the community with new outstanding models.We present AudioCLIP – an extension of the CLIP model that handles audio in addition to text and images. Utilizing the AudioSet dataset, our proposed model incorporates the ESResNeXt audio-model into the CLIP framework, thus enabling it to perform multimodal classification and keeping CLIP’s zero-shot capabilities.AudioCLIP achieves new state-of-the-art results in the Environmental Sound Classification (ESC) task and out-performs others by reaching accuracies of 97.15 % on…