AI and DSP for Noise Cancellation in Intercom Applications

OUR STORY

At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.

When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.

Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo,  drive innovation, and unlock their own potential. 

Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.

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

ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.

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.