A Parallelizable Lattice Rescoring Strategy with Neural Language Models
A Parallelizable Lattice Rescoring Strategy with Neural Language Models
This paper proposes a parallel computation strategy and a posterior-based lattice expansion algorithm for efficient lattice rescoring with neural language models (LMs) for automatic speech recognition. First, lattices from first-pass decoding are expanded by the proposed posterior-based lattice expansion algorithm. Second, each expanded lattice is converted into a minimal list …