AI and DSP for Noise Cancellation in Intercom Applications
Pubblicato il 02-08-2026 - STMicroelectronics Italia in Agrate Brianza
OUR STORY
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About The Project
Intercom systems are used in environments where communication must remain clear even in the presence of strong and dynamic background noise.
In many practical use cases, the noise is non-stationary and can vary rapidly over time, making its suppression particularly challenging.
Recent approaches combining digital signal processing (DSP) and machine learning have shown strong potential for improving noise cancellation performance. However, there is still room to explore more effective methods, especially for dynamic and real-world intercom scenarios.
In this internship, the student will work within an R&D; team on the research and development of noise cancellation solutions for intercom applications. The objective is to investigate and compare DSP-based and AI-based approaches, with the goal of improving speech clarity and robustness in challenging acoustic conditions.
YOUR ROLE
- You contribute to the research and development of a noise cancellation solution for intercom applications.
- You take part in exploring and evaluating different DSP and machine learning strategies for removing dynamic background noise from speech signals.
- You contribute to the implementation of experiments in Python and MATLAB, including data processing, algorithm development, training, validation, and performance analysis.
- You help assess the behavior of the proposed methods on realistic intercom scenarios and support the identification of the most promising technical directions for further development.
Your Skills & Experiences
- The candidate is currently pursuing, or has recently completed, a Master’s degree in Signal Processing, Computer Science, Computer Engineering, Electronic Engineering, or a related technical field
- Strong programming skills in Python
- Good experience with PyTorch or another major machine learning framework
- Good knowledge of MATLAB
- In-depth knowledge of digital signal processing
- Good understanding of deep learning fundamentals
- Strong interest in audio processing, speech enhancement, and noise cancellation
- Experience working with audio signals is a plus
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At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.
To discover more, visit st.com/careers.
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