AI and DSP for Noise Cancellation in Intercom Applications
Manager / Team Leader
In this internship, you contribute to advancing noise cancellation for intercoms by evaluating DSP and AI approaches.
You work within an R&D; team to implement experiments, process data, and analyze performance in realistic scenarios.
You will compare DSP-based and machine learning methods to improve speech clarity in challenging acoustics, shaping practical intercom solutions.
This role offers hands-on work with Python and MATLAB, and an opportunity to influence direction in a dynamic tech environment.
Contribute to the research and development of a noise cancellation solution for intercom applications
Explore and evaluate DSP and machine learning strategies to remove dynamic background noise from speech signals
Implement experiments in Python and MATLAB, including data processing, algorithm development, training, validation,



and performance analysis
Assess proposed methods on realistic intercom scenarios and identify promising directions for further development
Master's degree in a technical field (pursuing or recently completed)
Strong programming skills in Python
Nice-to-have experience with PyTorch or another major ML framework
Good knowledge of MATLAB
In-depth knowledge of digital signal processing
Strong understanding of deep learning fundamentals
Strong interest in audio processing, speech enhancement, and noise cancellation
Experience working with audio signals is a plus
In this internship, you contribute to advancing noise cancellation for intercoms by evaluating DSP and AI approaches.
You work within an R&a...; #J-*****-Ljbffr

📌 Intercom Noise Cancellation: Ai & Dsp R&D Intern (Bardi)
🏢 Experteer Italy
📍 Bardi