Master Thesis: Low-Delay Audio Compression Using Deep Neural Networks
Technology, Data & Digital · Software & Web Development · Software Engineering
In short
An opportunity to conduct a Master Thesis on low-delay audio compression using deep neural networks. You will investigate and enhance existing methods by incorporating DNN-based analysis and synthesis, optimizing for hardware with limited resources. Requires a Master's degree in a relevant field, coursework in signal processing and machine learning, and programming skills in MATLAB, C, or Python.
Responsibilities
- Review existing mono, low-rate audio compression methods using short and medium frame lengths (10–20 ms).
- Review legacy signal-processing-based low-latency codecs using frame lengths of 1–2.5 ms.
- Select a promising core low-delay compression method.
- Enhance the selected method by incorporating DNN-based analysis and synthesis.
- Optimize the resulting algorithm for deployment on hardware with limited computational resources.
Requirements
- Pursuing a master’s degree, preferably in Computer Science, Electrical Engineering, Engineering Physics, or a related field.
- Coursework in signal processing and machine learning is essential.
- Good programming skills in MATLAB, C, or Python.
- Proficient in English.
Benefits
- Outstanding opportunity to use your skills and imagination to push the boundaries of what's possible.
- Opportunity to build solutions never seen before to some of the world's toughest problems.
- Be challenged, but not alone.
- Join a team of diverse innovators.
Skills
MATLABCPythonDeep Neural Networkssignal processingmachine learning
#Audio Compression#Deep Neural Networks#Machine Learning#Signal Processing#Master Thesis
Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible
Company
EricssonJob Posted
4 days ago
Employment Type
Internship
Work mode
On Site
Experience Level
Entry
Locations
Stockholm, Sweden
Qualification
Master
Applicants
Be an early applicant
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