Scalable HMM based inference engine in large vocabulary continuous speech recognition

@article{Chong2009ScalableHB,
  title={Scalable HMM based inference engine in large vocabulary continuous speech recognition},
  author={Jike Chong and Kisun You and Youngmin Yi and Ekaterina Gonina and Christopher Hughes and Wonyong Sung and Kurt Keutzer},
  journal={2009 IEEE International Conference on Multimedia and Expo},
  year={2009},
  pages={1797-1800}
}
Parallel scalability allows an application to efficiently utilize an increasing number of processing elements. In this paper we explore a design space for application scalability for an inference engine in large vocabulary continuous speech recognition (LVCSR). Our implementation of the inference engine involves a parallel graph traversal through an irregular graph-based knowledge network with millions of states and arcs. The challenge is not only to define a software architecture that exposes… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 17 references

FFT-based 2D convolution

  • V. Podlozhnyuk
  • NVIDIA white paper, June 2007.
  • 2007
1 Excerpt

Similar Papers

Loading similar papers…