Certified Specialist Programme in AI for Speech Processing
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- Fundamentals of Speech Signal Processing
- Acoustic Phonetics and Speech Production
- Hidden Markov Models (HMMs) for Speech Recognition
- Deep Learning for Speech Recognition and Synthesis
- Automatic Speech Recognition (ASR) System Design and Evaluation
- Text-to-Speech (TTS) Synthesis Techniques
- Speech Enhancement and Noise Reduction
- Dialogue Systems and Conversational AI
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Career Role Description AI Speech Processing Engineer ( Primary Keyword: AI, Secondary Keyword: Speech Processing ) Develops and implements cutting-edge algorithms for speech recognition, synthesis, and understanding.
High industry demand.
Machine Learning Engineer - Speech ( Primary Keyword: Machine Learning, Secondary Keyword: Speech ) Builds and trains machine learning models for diverse speech applications, including virtual assistants and voice search.
Excellent career prospects.
Speech Scientist ( Primary Keyword: Speech, Secondary Keyword: Science ) Conducts research and development in the field of speech technology, focusing on acoustic modeling and language processing.
Strong research background required.
NLP Specialist - Voice ( Primary Keyword: NLP, Secondary Keyword: Voice ) Specializes in natural language processing techniques for voice-enabled systems, focusing on dialogue management and intent recognition.
Growing job market.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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