Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Exploiting Contextual Information for Speech/Non-Speech Detection
 
conference paper

Exploiting Contextual Information for Speech/Non-Speech Detection

Parthasarathi, Sree Hari Krishnan  
•
Motlicek, Petr
•
Hermansky, Hynek  
2008
Text, Speech and Dialogue. TSD 2008
Text, Speech and Dialogue

In this paper, we investigate the effect of temporal context for speech/non-speech detection (SND). It is shown that even a simple feature such as full-band energy, when employed with a large-enough context, shows promise for further investigation. Experimental evaluations on the test data set, with a state-of-the-art multi-layer perceptron based SND system and a simple energy threshold based SND method, using the F-measure, show an absolute performance gain of 4.4% and 5.4% respectively. The optimal contextual length was found to be 1000 ms. Further numerical optimizations yield an improvement (3.37% absolute), resulting in an absolute gain of 7.77% and 8.77% over the MLP based and energy based methods respectively. ROC based performance evaluation also reveals promising performance for the proposed method, particularly in low SNR conditions.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

Parthasarathi_TSD2008_2008.pdf

Access type

openaccess

Size

100.08 KB

Format

Adobe PDF

Checksum (MD5)

5eaf9709e4be33b33cb7411ae0974d87

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés