Memory efficient decoding graph compilation with wide cross-word acoustic context
نویسندگان
چکیده
We present an efficient technique for the compilation of static decoding graphs which can utilize full word of left cross-word context. We put an emphasis on memory efficiency, in particular to be able to deploy this technique on platforms with limited resources. The incremental application of the composition process efficiently produces a weighted finite state acceptor which is globally deterministic and minimized with the maximum memory need during the composition essentially the same as that needed for the final graph.
منابع مشابه
Incremental composition of static decoding graphs
A fast, scalable and memory-efficient method for static decoding graph construction is presented. As an alternative to the traditional transducer-based approach, it is based on incremental composition. Memory efficiency is achieved by combining composition, determinization and minimization into a single step, thus eliminating large intermediate graphs. We have previously reported the use of inc...
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