Fraunhofer-Institut für Integrierte Schaltungen IIS

Student Assistants for Deep Learning for Speech and Audio Signal Processing

Online seit
14.08.2019 - 14:37


For the Audio and Media Technologies division in Erlangen, the Fraunhofer Institute for Integrated Circuits IIS is currently seeking

Student Assistants for Deep Learning for Speech and Audio Signal Processing

The »Audio and Media Technologies« division of Fraunhofer IIS constitutes one of the world’s largest organizations dedicated to audio, speech and media processing. It has been an innovator in sound and vision for over 25 years and repeatedly won international competitions in the audio and media field: e.g. with mp3 and codecs of the AAC-family. Over 200 engineers and scientists develop first-rate technology, which is sold worldwide, in Europe, USA, China, Korea and Japan.

What is this about?

The use of deep learning for speech and audio processing has vastly increased and is widely used e.g. in smart speakers and voice assistants. Most of the recently developed deep learning methods for speech and audio signal processing are based on supervised-learning that require properly labelled training datasets for good performance. One of the most challenging tasks in the development of such methods is the creation of an efficient data pipeline for training of the DNNs including the generation of proper training data that is suitable for a given application scenario.

Your responsibilities:

Your first task would be to develop Python scripts for attribute-based selection of speech and audio samples from large publicly available audio datasets to create custom training, validation and test datasets for different applications. Following this, you will develop a complete workflow for training and testing of a DNN-based solution with the custom dataset for a specific application in the area of speech enhancement and audio source separation.


What we expect from you: You …

  • are interested or skilled in deep learning
  • have experience with Python
  • have basic knowledge of digital signal processing
  • are motivated to learn and work on complex tasks within a team of researchers

What you can expect from us

  • An open and cooperative working environment
  • Collaboration in interesting and innovative projects
  • Many opportunities to gain practical experience
  • Flexibility concerning your working hours

If you have any questions about this opening, please contact


Please apply for this position using the following link:

Applications are possible in German and English. Please include a cover letter, your CV and your latest transcripts of records (as PDF) and quote ID number 47291. Address your application to Nina Wörlein.

Please let us know how you learned about this job opportunity.

Additional information is available on our website:

Firmen- und Kontaktdaten

Fraunhofer-Institut für Integrierte Schaltungen IIS
Frau Nina Wörlein
Am Wolfsmantel
91058 Erlangen
+49 9131 7761684

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