Graduate Certificate in AI Techniques for Voice Recognition
-- ViewingNowThe Graduate Certificate in AI Techniques for Voice Recognition is a career-advancing course that focuses on the rapidly growing field of voice recognition technology. This program imparts essential skills in artificial intelligence, machine learning, and data analysis, making learners well-equipped to tackle current and future industry demands.
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โข Unit 1: Introduction to Artificial Intelligence · Overview of AI techniques and voice recognition technology
โข Unit 2: Fundamentals of Speech Recognition · Speech signal processing, acoustic modeling
โข Unit 3: Natural Language Processing (NLP) · Text preprocessing, part-of-speech tagging, named entity recognition
โข Unit 4: Machine Learning for Voice Recognition · Supervised, unsupervised, and reinforcement learning, deep learning
โข Unit 5: Neural Network Architectures · Convolutional neural networks, recurrent neural networks, long short-term memory
โข Unit 6: Deep Learning for Speech Recognition · Deep neural networks, time-delay neural networks, deep belief networks
โข Unit 7: Voice Biometrics · Speaker identification, speaker verification, text-independent and text-dependent systems
โข Unit 8: AI Ethics · Responsible AI, bias and fairness, privacy and security in voice recognition
โข Unit 9: AI Application Development · Building voice-enabled applications, integrating with existing systems, testing and deployment
โข Unit 10: Industry Trends · Current and emerging voice recognition technologies, market analysis, future directions
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