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Masterclass Certificate in Automated Speech Recognition
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- Fundamentals of Speech Signal Processing
- Hidden Markov Models (HMMs) for ASR
- Acoustic Modeling Techniques
- Language Modeling and N-grams
- Automated Speech Recognition System Design
- Deep Learning for Speech Recognition
- Evaluation Metrics for ASR Systems (WER, PER)
- Advanced Topics in Speech Recognition: Speaker Recognition and Diarization
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Career Role Description Automated Speech Recognition Engineer Develops and improves ASR systems, focusing on accuracy and efficiency.
High demand for expertise in deep learning and natural language processing (NLP).
Speech Scientist Conducts research on speech processing and recognition, contributing to advancements in ASR technology.
Requires strong academic background and analytical skills.
Machine Learning Engineer (ASR Focus) Applies machine learning algorithms to enhance ASR performance, dealing with data preprocessing, model training, and evaluation.
Expertise in Python and relevant libraries is crucial.
Data Scientist (Speech Data) Analyzes large speech datasets to improve model accuracy and address bias.
Involves data cleaning, feature engineering, and statistical modeling.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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