Master Thesis: Audio Coder Design for Low Latency Applications
Audio compression is applied in a variety of systems for efficient transmission and storage of digital audio signals. Example systems are mobile phone systems, internet and multimedia communication systems, in-car communication, home entertainment and broadcasting. Audio coding or compression is concerned with reducing the number of information bits used to represent the audio signal while maintaining an application specific acceptable quality and experience. Development in this area is focused on providing high audio quality while at the same time using a reduced number of bits transported in the air due to limited capacity in wireless links.
A lot of the audio content in future cellular networks will be real time multi-channel signals. For high quality audio services consumers also expect an ever increasing wish for natural low latency communication. However low latency compression forces the use of lower analysis block lengths, which in turn leads to a larger difficulty in using established psychoacoustic principles for the audio coder compression and synthesis steps.
This thesis proposal aims at exploring and implementing state-of-the-art low latency techniques for modelling, analysis and synthesis in an existing audio encoder design; and based on that design, select and optimize the compression tools to obtain high coding quality at medium bit rates and latencies lower than 5 ms.
The Digital representation and Interaction research area spans over a vast range of multimedia technologies required in current and emerging multimedia services targeting enriched person-to-person communication and advanced multimedia content for consumption. Within DRI, the Audio technology group in Luleå, Sweden, focus primarily on speech coding. We use highly efficient media compression algorithms to optimize both the transport and end user experience. We secure IPRs, participate heavily in standardization and often use prototyping to test and evaluate our concepts and solutions.
- The successful applicants will be self-motivated, M.Sc. students or equivalent with an education in signal processing. Practical experience is not required.
- The work is research oriented, so ability to learn quickly, work independently and identify problems and solutions is necessary.
Your education should preferably be in computer science, electrical engineering, engineering physics or similar. Courses in signal processing and programming are considered valuable merits.
- Proficiency in C and Matlab is required.
- Strong analytical skills and ability to acquire new knowledge and apply it in the job
- Good communication skills in written and spoken English
- Ability to formulate problems and solve them independently
- Creativity and ability to work independently
- Ability to develop and drive new ways of working, to produce research results in a more efficient way
- Deciding & Initiating Action
- Working with People
- Presenting & Communicating
- Applying Expertise & Technology
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Primary country and city: Sweden (SE) || || Luleå || Stud&YP
Req ID: 270993