The paper introduces MAGNET, a masked generative sequence modeling method that operates directly over several streams of audio tokens. Unlike previous works, MAGNET is a single-stage, non-autoregressive transformer. During training,…
Continue readingThe research paper introduces Audiobox, a model capable of generating different audio modalities. It is designed to enhance control and unify the generation of speech and sound. The model enables…
Continue readingThe paper discusses a novel framework for first-shot unsupervised anomalous sound detection (ASD). It is a task introduced in DCASE 2023 Challenge Task 2. The traditional ASD methods, which rely…
Continue readingThe paper presents UniAudio, a system that uses language model techniques to generate multiple types of audio, including speech, sounds, music, and singing, based on given input conditions. The system…
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