Graduate School and Research Center in Digital Sciences

Nicholas EVANS

Nicholas EVANS
Nicholas EVANS
Eurecom - Digital Security 
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04 93 00 82 00


  • From 2002-06 Nicholas Evans was an Assistant Professor at the University of Wales Swansea (UWS), where he taught courses in Communications, and remained an honorary lecturer until 2009.
  • In 2006 he moved to the Laboratoire Informatique d'Avignon at the Université d'Avignon et des Pays de Vaucluse where he taught courses in Image Processing and Digital Communications.

  • He moved to EURECOM in October 2007 where he now teaches courses in Essential Mathematical Methods for Engineers, and in Speech and Audio Processing.

My courses

  • MathEng / Fall 2017 - Essential Mathematical Methods for Engineers

    This course aims to present a treatment of mathematical methods suitable for engineering students who are interested in the rapidly advancing areas of signal analysis, processing, filtering and estimation. Significant current applications relate to, e.g., speech and audio, music, wired and wireless communications, instrumentation, multimedia, radar, sonar, control, biomedicine, transport and navigation.  The course presents a study of linear algebra,  probability, random variables, and analogue systems as a pre-requisite to material relating to sampled-data systems.  Time permitting, the final part of the course covers the concepts of random processes, the analysis of random signals, correlation and spectral density.

    Teaching and Learning Methods: The course is comprised of lectures, exercises and laboratory sessions.

    Course policies: This course is aimed at students who have NOT already completed preparatory classes.  Completion of all in-lecture examples is strongly advised.

  • Speech / Spring 2018 - Speech and audio processing

    • Give the students a general knowledge of the most important communication mode : speech.
    • Speech is used to communicate with machines this is speech recognition. Machine can generate artificial speech : this is speech synthesis. Speech must be compressed for two different reasons : reduce the memory required in storage systems and allow low bit rate transmission (f.i in GSM systems). Speech can also be used in biometrics : speaker identification and verification. In the media, speech and soundtracks as well as recorded work sessions can be automatically analyse and speech is a part of the indexing applications.



  • In June 2016, he has received with his co-authors Massimiliano Todisco and Hector Delgado, the Best Paper Award for their paper "A new feature for automatic speaker verification anti-spoofing: Constant Q cepstral coefficients" (Odyssey 2016).
  • In Novembre 2013, he has received with his co-authors Xuran Zhao and Jean-Luc Dugelay, the Best Student Paper Award for the article "Unsupervised multi-view dimensionality reduction with application to audio-visual speaker retrieval".
  • He was elected to the IEEE Speech and Language Technical Committee in 2013.