Job Title

Job Description

Category

Artificial Intelligence, Audio Signal Processing

Scope

2 students completing a master's or bachelor's thesis

Background

At New Business (NB) Audio, we strive to deliver high-quality audio solutions. We seek to investigate and develop a predictive analytics system, capable of analyzing audio data to identify potential audio related issues between our Axis OS versions that can have an impact on sound quality degradation. This project focuses on designing and implementing such a system using machine learning techniques.

Goal

• Design and develop a machine learning-based system to analyze audio samples and predict potential audio issues.
• We currently use a range of streaming protocols e.g. SIP and RTP, in our voice and audio communication systems. Our goal is to measure data packet delays between Axis OS and connected devices to identify trends and patterns in communication performance.

Objectives

• Collect and preprocess audio samples.
• Analyze audio recordings to identify and detect present audio artifacts, evaluating their impact on overall sound quality.
• Develop and train a machine learning model to predict potential audio issues using the collected data.

Expected Outcomes

• A functional predictive analytics system that can forecast potential audio issues.
• Insights into delay trends across various communication protocols, such as SIP and RTP/RTSP, and their impact on audio quality.
• Recommendations for improving sound quality based on industry standard comparisons.

Requirements

• Master's or Bachelor's degree student in Computer Science, Electrical Engineering, or a related field.
• Experience with machine learning frameworks such as TensorFlow or PyTorch, and proficiency in programming languages, preferably Python.
• Familiarity with audio signal processing techniques and tools (e.g., FFT, spectrograms).

OK, I am interested! What do I do now?
You are valuable to us – how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.

• Applications are accepted in both Swedish and English, and you apply via the proposal advert.
• The announced thesis is open only to students affiliated with a Swedish University/College either directly or via an exchange program.
• When the thesis proposal states that it includes two students working together, we would like you to apply in pairs. In these cases, send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this, please do not hesitate to contact us.
• Please attach your CV and University/College grade summary.

Who to contact for any questions regarding the position!

For more information, please reach out to:

Madeleine Kullegård, Engineering Manager, Madeleine.Kullegard@axis.com or
Andreas Ericsson Fridlund, Senior Engineer, Andreas.EricssonFridlund@axis.com

Type of Employment

Posting End Date

Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.

About Axis Communications

We enable a smarter, safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader, we offer solutions in video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.

With around 4500 committed employees in over 50 countries, we collaborate with partners worldwide. Together, we thrive in our friendly, open, and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion, diversity, and sustainability, we consistently seek to develop our skills and way of working.

Let´s create a smarter, safer world

For more information about Axis, please visit our website www.axis.com.

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