Descrizione dell'offerta
Experteer Overview
Join STMicroelectronics as part of the AI Research department to advance noise cancellation for intercom systems. You will compare DSP and AI approaches to improve speech clarity in dynamic environments, using Python and MATLAB for experiments. Collaborate with an R&D team to identify promising directions and validate methods in realistic scenarios. This internship offers hands‑on development at the intersection of signal processing and deep learning within a global tech leader. Retribuzione / Benefits
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, handling data processing, algorithm development, training, validation, and performance analysis. Assess proposed methods on realistic intercom scenarios and identify promising technical directions for further work. Responsabilità
Master’s degree in a technical field (Signal Processing, CS, CE, Electronic Engineering, or related) or current pursuit thereof Strong programming skills in Python Experience with PyTorch or another major ML framework Good knowledge of MATLAB In-depth knowledge of digital signal processing 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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Join STMicroelectronics as part of the AI Research department to advance noise cancellation for intercom systems. You will compare DSP and AI approaches to improve speech clarity in dynamic environments, using Python and MATLAB for experiments. Collaborate with an R&D team to identify promising directions and validate methods in realistic scenarios. This internship offers hands‑on development at the intersection of signal processing and deep learning within a global tech leader. Retribuzione / Benefits
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, handling data processing, algorithm development, training, validation, and performance analysis. Assess proposed methods on realistic intercom scenarios and identify promising technical directions for further work. Responsabilità
Master’s degree in a technical field (Signal Processing, CS, CE, Electronic Engineering, or related) or current pursuit thereof Strong programming skills in Python Experience with PyTorch or another major ML framework Good knowledge of MATLAB In-depth knowledge of digital signal processing Understanding of deep learning fundamentals Strong interest in audio processing, speech enhancement, and noise cancellation Experience working with audio signals is a plus
#J-18808-Ljbffr
Candidatura e Ritorno (in fondo)
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