Audio-language embedding models like CLAP fail to understand negation, causing performance to drop below chance on tasks that require identifying the absence of a sound, according to a new evaluation …
Audio-language models like CLAP fail to handle negation, with accuracy on negation tasks dropping below chance levels, according to a new evaluation framework called NegEval-Audio. Researchers found t…
SwiftAudio introduces a one-step text-to-audio framework that eliminates the need for paired audio data, using audio-free distillation to achieve state-of-the-art performance among one-step methods an…
A new raw-waveform diffusion model called WavFlow has achieved audio fidelity matching or exceeding that of autoencoder-based pipelines, eliminating the need for latent compression. On the VGGSound be…