ISCA Archive ICSLP 1998
ISCA Archive ICSLP 1998

Vector quantizer acceleration for an automatic speech recognition application

Antonio J. Araujo, Vitor C. Pera, Marcio N. Souza

For a real-time application of an automatic speech recognition system, hardware acceleration can be the key to reduce the execution time. Vector quantization is an important task that a recognizer based on discrete hidden Markov models must perform. Due to the amount of floating point operations executed, the vector quantizer is an excellent candidate to be accelerated by customized hardware. The design, implementation and obtained results of a hardware solution based on field programmable gate array devices are presented.


doi: 10.21437/ICSLP.1998-544

Cite as: Araujo, A.J., Pera, V.C., Souza, M.N. (1998) Vector quantizer acceleration for an automatic speech recognition application. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0319, doi: 10.21437/ICSLP.1998-544

@inproceedings{araujo98_icslp,
  author={Antonio J. Araujo and Vitor C. Pera and Marcio N. Souza},
  title={{Vector quantizer acceleration for an automatic speech recognition application}},
  year=1998,
  booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
  pages={paper 0319},
  doi={10.21437/ICSLP.1998-544}
}