Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is ...

Abstract: Convolutional neural networks (CNNs) and transformers have demonstrated remarkable capabilities in capturing spatial–spectral contextual dependencies, making them widely applicable for ...

Abstract: Transformers and their variants have achieved great success in speech processing. However, their multi-head self-attention mechanism is computationally expensive. Therefore, one novel ...

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