International Audio Laboratories Erlangen

Dr.-Ing. Pablo Delgado

• Supervisor: Prof. Dr.-Ing. Jürgen Herre
• Room: 3.34
• Phone: +49 9131 85-20522
• Fax: +49 9131 85-20524
• pablo.delgado@audiolabs-erlangen.de

Current offerings

• Currently offering master thesis, research internship and student job opportunities.
• PhD and Postdoc positions also available.

Research Interests

• Audio quality assessment

  • Perceptual audio quality metrics (PEAQ, PESQ, POLQA, and other ITU-R/ITU-T methods)
  • Perceptual models of human hearing (peripheral and cognitive)
  • Psychoacoustics
  • Machine learning for audio quality assessment
  • Subjective assessment of audio quality (spatial and timbre)

• Machine learning and deep learning in audio

  • Neural audio coding
  • Perceptual loss functions for deep learning in audio
  • Machine learning based incorporation of subjective data into perceptual models

• Perceptual audio coding

  • Low and high bitrate music and speech coding
  • Multichannel and object-oriented reproduction formats
  • Binaural audio reproduction and coding

• Audio signal processing

  • Musical applications
  • Virtual reality
  • Spatial audio reproduction
  • Human machine interaction
  • Embedded/low-power systems

Teaching

• Current

  • 2018-2023: Audio Processing Laboratory, Statistical Methods for Audio Experiments (Prof. Jürgen Herre, FAU)

• Previous

  • 2012: Introductory Mathematics (National University of Avellaneda)
  • 2009-2012: Algebra II. Linear algebra. (University of Buenos Aires)
  • 2007-2008: Mathematical Analysis III. Complex variable calculus, integral transforms and deterministic signal processing. (University of Buenos Aires)

Research Supervision

• Master Thesis: "Investigations on Neural Audio Coding", Alexander Heinmüller, 2024

• Master Thesis: “Models of Cognitive Effects for Auditory Salience in Objective Quality Measurement”, Aalok Gupta, 2022.

• Master Thesis: “Improved Cognitive Model for a Perceptual Evaluation of Audio Quality Method”, Stefan Emmert, 2021.

• Research Internship: “Influence of Combined Inter-Aural Cue distortions on Overall Audio Quality in Spatial Audio Telecommunications”, Slavica Subič, 2019.

• Master Thesis: “Overview of State-of-the-Art Binaural Feature Extraction for Objective Quality Estimation of Parametric Spatial Audio”, Meng Chen, 2018.

Workshops/Keynote Talks

• Keynote: “To PEAQ or Not to PEAQ? - BS.1387 Revisited” w/Prof. Thomas Sporer, 147th Audio Engineering Society (AES) Convention, 2019.

Memberships

• Member; IEEE, Institute of Electrical and Electronics Engineers
  • Reviewer: Signal Processing Society (IEEE SPS) Signal Processing Letters (SPL).
  • Reviewer: Transactions on Speech, Audio and Language Processing (IEEE-TASL).
  • Reviewer: IEEE ARGENCON.
• Member: AES, Audio Engineering Society
  • Reviewer: Journal of the Audio Engineering Society (JAES).
  • Member: AES Technical Committee on Perception and Subjective Evaluation of Audio Signals.
  • Member: AES Technical Committee on Coding of Audio Signals.
  • Member: AES Technical Committee on Machine Learning and Artificial Intelligence in Audio.

CV

Industry Projects (selected)

• MPEG-I (Fraunhofer IIS Advanced Audio Research Group)

  • Audio for Virtual Reality

• Fraunhofer IIS, Audio and Multimedia Technologies

  • Research and design of audio processing algorithms with emphasis on embedded devices and digital signal processors - Core Development Kit
  • Cooperation with international partners, deployment support.
    • E.g.: Google, Apple, Amazon and more, NHK Japan
  • Development, implementation, optimization, and testing of cross-platform audio coding software, MPEG and 3GPP standards.
  • Design and development of automated software tests. Deployment planning and support.

• MPEG-H (Fraunhofer IIS Multimedia Realtime Department)

  • Embedded system implementation of an MPEG-H multi-channel audio Encoder.
  • Subjective audio quality assessment. Quality measurement.

• Fraunhofer IIS, Multimedia Realtime Department

  • Performance evaluation of MPEG audio codecs on state of the art low power embedded processors with mixed fix/float point handling capabilities.

Education

• Doctor of Engineering (Dr.-Ing) – Friedrich-Alexander-Universität Erlangen-Nürnberg. Perceptual coding of audio signals. Models of human auditory perception. Psychoacoustics. Machine Learning.

• Electrical/Electronics Engineer (M.S.E.E.) – University of Buenos Aires.

• EE, and App. Physics, Signal Processing, Embedded Systems, Telecom and Automation Engineering – École Nationale Supérieure d’Ingénieurs de Caen (ENSICAEN), France.

Further Specialization

• Statistical methods for data analysis (Dr. Felix Bauer, Prof. Dr. Sebastian Sauer)
• Filter banks for audio analysis and coding (Prof. Dr.-Ing Bernd Edler)
• Auditory models (Prof. Dr.-Ing Bernd Edler)
• Perceptual audio coding techniques and technology (Prof. Dr.-Ing. Jürgen Herre)
• C/C++ language development techniques for advanced users (Jörg Fasching- bauer)
• Python for advanced users (Bernd Klein)
• Scientific writing (Elisabeth Grenzebach)

Multimedia

• A Data-Driven Cognitive Salience Model for Objective Perceptual Audio Quality Assessment

  • Slides
  • Video

• Objective Quality Assessment of Perceptually Coded Audio Signals

  • Video

Website

• https://pmdelgado.github.io/