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Executive Certificate in Data Analytics for Speech Recognition
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- Introduction to Speech Recognition and Data Analytics
- Speech Signal Processing and Feature Extraction
- Acoustic Modeling and Hidden Markov Models (HMMs)
- Language Modeling and N-gram Models
- Speech Recognition System Design and Evaluation
- Deep Learning for Speech Recognition
- Data Cleaning and Preprocessing for Speech Data
- Advanced Topics in Speech Recognition: Speaker Recognition and Diarization
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Career Role Description Data Scientist (Speech Recognition) Develops and implements advanced algorithms for speech recognition systems, focusing on data analysis and model improvement.
High demand for expertise in machine learning and deep learning .
Speech Recognition Engineer Designs, builds, and tests speech recognition systems.
Requires strong programming skills and understanding of acoustic modeling and language processing.
NLP Data Analyst (Speech) Analyzes large datasets of speech data to improve NLP models and speech recognition accuracy.
Needs expertise in natural language processing and data visualization.
Machine Learning Engineer (Speech) Develops and trains machine learning models for speech recognition, using techniques like deep learning and reinforcement learning.
Requires strong mathematical foundations.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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