I am writing to express my sincere interest in the Audio and Speech signals. With a strong educational background, hands-on experience, and a genuine passion for audio signal processing and deep learning, I am excited ab…
I am writing to express my sincere interest in the Audio and Speech signals. With a strong educational background, hands-on experience, and a genuine passion for audio signal processing and deep learning, I am excited about the opportunity to contribute to cutting-edge research and innovation in your esteemed organization.
Research on re-tuning algorithms to adapt to the current “situation adapt sound” set-up for the car.
Part of the team which develops software module for restoring sound quality with movements of driver in the car.
Research on replacing the current FIR filter with IIR filter, including pros and cons.
Research on averaging and smoothing of the speaker’s outputs.
Documentation of the comparison of classical methods, optimization of the filter, adaptive filters, or machine learning approaches.
Worked with MAX/MSP tool.
Research on Re-tuning algorithms to adapt to the current “situation adapt sound” set-up for the car, Research on replacing the current FIR filter with IIR filter, methods- pros and cons, Documentation of the comparison of classical methods- optimization of the filter, adaptive filers or Machine learning approaches
Research in the field of car cabin measurements based on microphone arrays.
Evaluation and comparison of different measurement approaches.
Documentation of the results.
Attended workshops on car tuning.
Analyzing impulse responses and frequency responses.
Conducting subjective evaluations with trained listeners.
Gathering comments and associated scores from listeners to establish correlations between objective measurements and human perception.
Feature engineering on objective data and subjective comments with the test tracks played in the speakers in the car domain.
Research on audio event detection and classification algorithms - DCASE 2013.
Developed an algorithm to detect a rare audio event present in the environment along with its onset and offset time.
Worked with multi-class classification and noise reduction algorithms for speech signals.
Support in extending data augmentation stage in acoustic event detection framework.
Implementation of algorithms to slightly alter audio channels to extend training data sets for machine learning applications.
Intensive training in the field of signal processing (MATLAB).
Support in extending data augmentation stage in acoustic event detection framework, Implementation of algorithms to slightly alter audio channels to extend training data sets for Machine Learning applications
Research in the field of car cabin measurements based on microphone arrays, Documentation of the results and attended workshops on car tuning
Analyzing impulse responses and frequency responses, Conducting subjective evaluations with trained listeners, Gathering valuable comments and associated scores from the listeners
Research on Audio event detection and classification algorithms- DCASE 2013, Developed an algorithm to detect a rare audio event present in the environment, Worked with multi-class classification and Noise Reduction algorithms for speech signals
Intensive training in the field of signal processing (MATLAB)
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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