Abstract: A neural network architecture for natural language processing is provided. The neural network architecture comprises: a speech-to-text encoder configured to encode an input speech signal; a Bifrost speech recognizable engine configured for processing the encoded speech signal to generate a speech recognized signal corresponding to the input speech signal; and a decoder configured to decode the speech recognized signal and to generate the output sequence.

Abstract: Embodiments of the present disclosure pertain to switch matrix circuit including a data permutation circuit. In one embodiment, the switch matrix comprises a plurality of adjacent switching blocks configured along a first axis, wherein the plurality of adjacent switching blocks each receive data and switch control settings along a second axis. The switch matrix includes a permutation circuit comprising, in each switching block, a plurality of switching stages spanning a plurality of adjacent switching blocks and at least one switching stage that does not span to adjacent switching blocks. The permutation circuit receives data in a first pattern and outputs the data in a second pattern. The data permutation performed by the switching stages is based on the particular switch control settings received in the adjacent switching blocks along the second axis.