Embedded Signal Processing

Lab "Embedded Signal Processing"

Basic Information
Lecturers:	Finn Röhrdanz
Room:	PC Lab, Building B
Language:	German
Target group:	Students in electrical engineering and information technology as well as students in electrical engineering, information technology and business management
Prerequisites:	Signals and systems I,II
Registration procedure:	If you want to sign up for this laboratory, you need to register with the following information in the registration form surname, first name, (stu) e-mail address, matriculation number, Please note, that the registration period starts the 01.03.2024 at 08:00 am and ends the 05.04.2024 at 11:59 pm. All applications before and after this registration period will not be taken into account. Registration will be possible within the before mentioned time by sending an e-mail with your name and matriculation number to This email address is being protected from spambots. You need JavaScript enabled to view it. The registration is binding. A deregistration is possible by sending an e-mail with your name and matriculation number to This email address is being protected from spambots. You need JavaScript enabled to view it. until Wednesday, xx.xx.2024 at 23:59 am. All later cancellations of registration will be considered as having failed the lab. Requirements, rules and commitments will be announced at the first experiment (attendance is mandatory).
Time:	The first experiment takes place on the 24.04.2024 in KS2/Geb.G - PC-Labor. The corresponding documents will be distributed via E-mail. On Wednesday: 14:00- 17:30h
Contents:	The presented lab "Embedded Signal Processing" is intended to prepare students for practical work in digital signal processing. Typical signal processing algorithms will be implemented during the lab on a signal processing platform using the C/C++ programming language. In addition, the lab deepens the theoretical knowledge of the two signal and systems lectures. The contents of the lab is the following: Introduction to the hardware and the programming language Implementation of an analysis filter bank Implementation of a synthesis filter bank Implementation of highpass- and bandpass filtering (frequency domain) Introduction to the noise reduction Implementation of the modules of the noise reduction

Evaluation
	Current evaluation		Completed evaluations

We are delighted to announce that Marten Finck has been awarded the GaS prize for his Master's thesis on "Evaluation of Speech Quality Using Machine Learning".

In his work, he investigated possible side effects of magnetic resonance-guided focussed ultrasound treatment (MRgFUS) on speech quality in patients with neurological diseases such as Parkinson's disease and essential tremor. This innovative and non-invasive treatment method is used to reduce tremor, i.e. the shaking of limbs.

To evaluate the effects on speech, pre- and post-operative speech recordings of 56 patients were analysed: Speech quality was assessed in five categories (monotony, clarity, fluency, auditory effort and vocal tremor) through a survey with 21 participants and used to create a convolutional neural network (CNN). This generates an objective assessment of speech quality using mel frequency cepstral coefficients (MFCCs), fundamental frequency and loudness. A mean absolute error (MAE) of 0.81 on a scale of 0 to 10 was achieved, compared to a standard deviation of 0.67 for the survey participants compared to a reference assessment. The evaluation of the survey revealed minor positive and negative changes in speech quality, which were balanced overall and tended to indicate natural speech variations in connection with the patients' underlying illnesses.

Congratulations on this well-deserved honour!

Lab "Embedded Signal Processing"

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