TU Berlin

Quality and Usability LabMarie-Neige Garcia

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Marie-Neige Garcia


Research Field:

- Quality and Usability

Research Topics:

- Video and Audio-Visual Quality Assessment
- Quality modeling



Since 2006: PhD Student at Technische Universität Berlin / Deutsche Telekom Laboratories

2004-2006: Project manager at ELDA (Evaluation and Language Resources Distribution Agency) , Speech evaluation department - Paris, France

  • Project manager in the EVALDA/EvaSy

    campaign (Evaluation of speech synthesis systems in French)

  • In charge of the evaluation of

    Text-to-speech systems in the European project TC-STAR (speech-to-speech


  • In charge of the evaluation of video

    technologies in the project CHIL (Pervasive Interaction Computing)

2003: Master’s Degree in Engineering at ISEP (Electronics Superior Institute of Paris); areas of study: informatics, telecommunications, electronics



Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany




Parametric Quality Prediction for IP-based Audio
Citation key raake2008a
Author Raake, Alexander and Garcia, Marie-Neige and Feiten, Bernhard and Möller, Sebastian
Title of Book Proceedings of the 155th Meeting of the Acoustical Society of America (ASA)/ 5th Forum Acusticum / 9e Congrés Français d'Acoustique / 2nd ASA- European Acoustics Association (EAA) Joint Conference (Acoustics'08 Paris)
Year 2008
ISBN 978-2-9521105-4-9
Location Paris, France
Address Paris, France
Month jun
Abstract Different multimedia services are more and more transmitted over a common network infrastructure, e.g. using the Internet Protocol (IP). Examples are the widespread voice over Internet Protocol (VoIP), and Internet Protocol Television (IPTV). The streaming of pure audio over IP even has a longer tradition, with applications such as internet radio. For an efficient development, planning and monitoring of such services, models can be used that predict user-perceived quality based on technical service characteristics. Speech quality models for telephony are among the most advanced ones in this context, with different model types like the signal-based PESQ (ITU-T Rec. P.862, 2001) or the parametric E-model (ITU-T Rec. G.107, 2005). In this paper, we describe a parametric approach for predicting the quality of IP-based audio. The main parameters are the audio codec, codec bitrate, packet loss characteristics and the audio content. We base our considerations on own listening tests conducted in the framework of IPTV quality assessment, on approaches and test data described in the literature and on complementary knowledge from the fields of speech and video quality models. In this context, we identify similarities and discrepancies between different types of services in the light of a common model framework.
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