Detail publikace

A Unified Approach for Audio Characterization and its Application to Speaker Recognition

Originální název

A Unified Approach for Audio Characterization and its Application to Speaker Recognition

Anglický název

A Unified Approach for Audio Characterization and its Application to Speaker Recognition

Jazyk

en

Originální abstrakt

The technique proposed in this work allows for extracting a very low-dimensional vector encoding information about chosen characteristics of audio signal such as: type and level of background noise, reverberation and transmission channel. The reported experimental shows that such information can be very useful for calibration and fusion of speaker verification systems.

Anglický abstrakt

The technique proposed in this work allows for extracting a very low-dimensional vector encoding information about chosen characteristics of audio signal such as: type and level of background noise, reverberation and transmission channel. The reported experimental shows that such information can be very useful for calibration and fusion of speaker verification systems.

BibTex


@inproceedings{BUT96992,
  author="Luciana {Ferrer} and Lukáš {Burget} and Oldřich {Plchot} and Nicolas {Scheffer}",
  title="A Unified Approach for Audio Characterization and its Application to Speaker Recognition",
  annote="The technique proposed in this work allows for extracting a very low-dimensional
vector encoding information about chosen characteristics of audio signal such as:
type and level of background noise, reverberation and transmission channel. The
reported experimental shows that such information can be very useful for
calibration and fusion of speaker verification systems.",
  address="International Speech Communication Association",
  booktitle="Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop",
  chapter="96992",
  edition="NEUVEDEN",
  howpublished="print",
  institution="International Speech Communication Association",
  year="2012",
  month="june",
  pages="317--323",
  publisher="International Speech Communication Association",
  type="conference paper"
}