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  • Ángel de la Torre, Antonio M. Peinado, José C. Segura, José L. Pérez-Córdoba, M. Carmen Benítez, Antonio J. Rubio
  • Computer Science
  • IEEE Transactions on Speech and Audio Processing
  • 2005 (First Published: 1 May 2005)
  • This paper describes a method of compensating for nonlinear distortions in speech representation caused by noise. The method described here is based on the histogram equalization method often used inContinue Reading
  • Ángel de la Torre, José C. Segura, M. Carmen Benítez, Antonio M. Peinado, Antonio J. Rubio
  • Computer Science
  • IEEE International Conference on Acoustics…
  • 2002 (First Published: 1 May 2002)
  • The noise usually produces a non-linear distortion of the feature space considered for Automatic Speech Recognition. This distortion causes a mismatch between the training and recognition conditionsContinue Reading
  • José C. Segura, M. Carmen Benítez, Ángel de la Torre, Antonio J. Rubio, Javier Ramírez
  • Mathematics, Computer Science
  • IEEE Signal Processing Letters
  • 2004 (First Published: 1 May 2004)
  • This letter presents a new segmental nonlinear feature normalization algorithm to improve the robustness of speech recognition systems against variations of the acoustic environment. An experimentalContinue Reading
  • Javier Ramírez, Juan Manuel Górriz, José C. Segura, Carlos García Puntonet, Antonio J. Rubio
  • Mathematics, Computer Science
  • IEEE Signal Processing Letters
  • 2006 (First Published: 1 August 2006)
  • This letter shows an effective statistical voice activity detection algorithm based on the integrated bispectrum, which is defined as a cross spectrum between the signal and its square and inheritsContinue Reading
  • Javier Ramírez, José C. Segura, M. Carmen Benítez, Ángel de la Torre, Antonio J. Rubio
  • Computer Science
  • IEEE Transactions on Speech and Audio Processing
  • 2005 (First Published: 1 November 2005)
  • An effective voice activity detection (VAD) algorithm is proposed for improving speech recognition performance in noisy environments. The approach is based on the determination of theContinue Reading