Master Thesis Speech Target Extraction Specialist

vor 18 Stunden

Renningen, Baden-Württemberg, Deutschland Bosch Vollzeit
Job Description

Effective speech understanding in complex auditory environments is crucial for cutting-edge hearing acoustics applications such as earbuds, hearing aids, smartwatches, and in-car acoustics. Recent advancements in hearing devices have led to the deployment of AI-based systems, including recurrent neural networks, LSTMs, and beamformer networks, to perform noise cancellation and speaker enhancement. The introduction of directives has made it possible to identify target speakers without the need for clean target samples.

Key Responsibilities
  • Investigate target speech extraction with various background noises and develop a target extraction method based on directives.
  • Evaluate speech extraction methods for hearing aids and perform data augmentation on toy datasets.
  • Implement pre-processing stages of audio and develop neural networks to extract target speech based on directives.
  • Extend the developed method to multi-source speech targets.
  • Collaborate in a cross-functional team spanning algorithms, deployment, and hardware.
Requirements
  • Master's degree in Electrical Engineering, Computer Science, or a comparable field.
  • Experience and knowledge in Python and C++; background in Neural Networks; knowledge of PyTorch is an advantage.
  • Independent, structured, and highly motivated individual with a keen interest in future technologies and trends.
  • Fluent in English; German is an advantage.
Additional Information

This thesis requires enrollment at a university. Please attach your CV, transcript of records, examination regulations, and if indicated, a valid work and residence permit.

Bosch values diversity and inclusion and welcomes all applications, regardless of gender, age, disability, religion, ethnic origin, or sexual identity.

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