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;…

📌 Intercom Noise Cancellation: AI & DSP R&D Intern (Agrate Brianza)
🏢 Experteer Italy
📍 Agrate Brianza