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-18808-Ljbffr

📌 Intercom Noise Cancellation: AI (Italia)
🏢 Experteer Italy
📍 Italia