Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Job Description
Prior to feeding data to neural networks, the spectrum is typically generated using sliding windows FFT and MFCC on acoustic signal. This approach treats the acoustic signal as an image, allowing image-based neural networks, such as CNN, to perform various tasks, including keyword spotting. However, extracting temporal and frequency information from the spectrum requires heavy pre-processing due to this method, and CNN-based neural networks may be ineffective for solving such tasks.
Qualifications
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Andre Guntoro (Functional Department)
+49 152 588 13129
#LI-DNI
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