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A Two-Stage Band-Split Mamba-2 Network For Music Separation

Autor: Bai, Jinglin, Fang, Yuan, Wang, Jiajie, Zhang, Xueliang

Music source separation (MSS) aims to separate mixed music into its distinct tracks, such as vocals, bass, drums, and more. MSS is considered to be a challenging audio separation task due to the complexity of music signals. Although the RNN and Trans

Externí odkaz: http://arxiv.org/abs/2409.06245

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Vector Quantized Diffusion Model Based Speech Bandwidth Extension

Autor: Fang, Yuan, Bai, Jinglin, Wang, Jiajie, Zhang, Xueliang

Recent advancements in neural audio codec (NAC) unlock new potential in audio signal processing. Studies have increasingly explored leveraging the latent features of NAC for various speech signal processing tasks. This paper introduces the first appr

Externí odkaz: http://arxiv.org/abs/2409.05784

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Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy

Autor: Wang, Jiajie, Lin, Zhiyuan Jerry, Chen, Wen

In contemporary data-driven environments, the generation and processing of multivariate time series data is an omnipresent challenge, often complicated by time delays between different time series. These delays, originating from a multitude of source

Externí odkaz: http://arxiv.org/abs/2408.12801

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