Graduate Certificate in AI-Based Acoustic Environment
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⢠Unit 1: Introduction to Artificial Intelligence (AI) space;- AI basics, history, and applications.
⢠Unit 2: Acoustic Signal Processing - Signal processing techniques, audio features, sound source separation.
⢠Unit 3: AI-based Acoustic Modeling - Machine learning, deep learning, neural networks, acoustic modeling for speech recognition.
⢠Unit 4: Natural Language Processing (NLP) - Text processing, language models, sentiment analysis, speech-to-text conversion.
⢠Unit 5: AI-driven Speech Synthesis - Text-to-speech (TTS) systems, concatenative and parametric synthesis, neural TTS.
⢠Unit 6: Intelligent Acoustic Environment Design - AI-based architectural acoustics, soundscapes, and ambient intelligence.
⢠Unit 7: AI Ethics & Policy - Ethical considerations, regulatory frameworks, and social impact of AI-based acoustic environments.
⢠Unit 8: AI System Evaluation - Performance metrics, benchmarking, and optimization strategies in AI-based acoustic systems.
⢠Unit 9: AI Software Development - AI development frameworks, libraries, and tools for acoustic environment applications.
⢠Unit 10: Final Project - Design, implementation, and evaluation of a capstone project in AI-based acoustic environments.
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