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- W4367189557 abstract "We introduce LAST, a LAttice-based Speech Transducer library in JAX. With an emphasis on flexibility, ease-of-use, and scalability, LAST implements differentiable weighted finite state automaton (WFSA) algorithms needed for training & inference that scale to a large WFSA such as a recognition lattice over the entire utterance. Despite these WFSA algorithms being well-known in the literature, new challenges arise from performance characteristics of modern architectures, and from nuances in automatic differentiation. We describe a suite of generally applicable techniques employed in LAST to address these challenges, and demonstrate their effectiveness with benchmarks on TPUv3 and V100 GPU." @default.
- W4367189557 created "2023-04-28" @default.
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- W4367189557 date "2023-04-25" @default.
- W4367189557 modified "2023-10-18" @default.
- W4367189557 title "LAST: Scalable Lattice-Based Speech Modelling in JAX" @default.
- W4367189557 doi "https://doi.org/10.48550/arxiv.2304.13134" @default.
- W4367189557 hasPublicationYear "2023" @default.
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