Voice activity detection with noise reduction and long-term spectral divergence estimation

@article{Ramrez2004VoiceAD,
  title={Voice activity detection with noise reduction and long-term spectral divergence estimation},
  author={Javier Ram{\'i}rez and Jos{\'e} C. Segura and M. Carmen Ben{\'i}tez and {\'A}ngel de la Torre and Antonio J. Rubio},
  journal={2004 IEEE International Conference on Acoustics, Speech, and Signal Processing},
  year={2004},
  volume={2},
  pages={ii-1093}
}
The paper mainly focusses on an improved voice activity detection algorithm employing long-term signal processing and maximum spectral component tracking. The benefits of this approach have been analyzed in a previous work (Ramirez, J. et al., Proc. EUROSPEECH 2003, p.3041-4, 2003) with clear improvements in speech/non-speech discriminability and speech recognition performance in noisy environments. Two clear aspects are now considered. The first one, which improves the performance of the VAD… CONTINUE READING
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