Detail publikace

Simplification and optimization of I-Vector Extraction

Originální název

Simplification and optimization of I-Vector Extraction

Anglický název

Simplification and optimization of I-Vector Extraction

Jazyk

en

Originální abstrakt

We managed to reduce the memory requirements and processing time for the i-vector extractor training so that higher dimensions can be now used while retaining the recognition accuracy. As for i-vector extraction, we managed to reduce the complexity of the algorithm with sacrificing little recognition accuracy, which makes this technique usable in small-scale devices.

Anglický abstrakt

We managed to reduce the memory requirements and processing time for the i-vector extractor training so that higher dimensions can be now used while retaining the recognition accuracy. As for i-vector extraction, we managed to reduce the complexity of the algorithm with sacrificing little recognition accuracy, which makes this technique usable in small-scale devices.

BibTex 


@inproceedings{BUT76376,
  author="Ondřej {Glembek} and Lukáš {Burget} and Patrick {Kenny} and Martin {Karafiát} and Pavel {Matějka}",
  title="Simplification and optimization of I-Vector Extraction",
  annote="We managed to reduce the memory requirements and processing time for the i-vector
extractor training so that higher dimensions can be now used while retaining the
recognition accuracy. As for i-vector extraction, we managed to reduce the
complexity of the algorithm with sacrificing little recognition accuracy, which
makes this technique usable in small-scale devices.",
  address="IEEE Signal Processing Society",
  booktitle="Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011",
  chapter="76376",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2011",
  month="may",
  pages="4516--4519",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}