Certificate in Multilingual Speech Recognition Systems
-- ViewingNowThe Certificate in Multilingual Speech Recognition Systems course is a comprehensive program designed to equip learners with the essential skills needed to thrive in the rapidly growing field of speech recognition technology. This course is of paramount importance as industries increasingly adopt voice-activated systems and artificial intelligence solutions.
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โข Introduction to Multilingual Speech Recognition Systems: Fundamentals, components, and applications
โข Speech Processing Techniques: Signal processing, feature extraction, and acoustic modeling
โข Language Modeling: Statistical language models, n-grams, and context-dependent modeling
โข Speech Recognition Algorithms: Hidden Markov Models (HMMs), Dynamic Time Warping (DTW), and artificial neural networks
โข Multilingual Speech Recognition: Challenges, cross-lingual models, and transfer learning
โข Speech Synthesis and Text-to-Speech: Concatenative and parametric synthesis, and natural language processing
โข Machine Learning and Deep Learning Techniques: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks
โข Evaluation and Optimization: Perplexity, word error rate, and performance improvement strategies
โข Ethics and Privacy in Speech Recognition: Data security, user consent, and ethical considerations
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