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Graduate Certificate in Speech Recognition Goals
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2个月完成
每周2-3小时
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无等待期
课程详情
- Fundamentals of Speech Recognition
- Acoustic Phonetics and Speech Signal Processing
- Hidden Markov Models (HMMs) for Speech Recognition
- Speech Recognition Algorithms and Architectures
- Language Modeling for Speech Recognition
- Deep Learning for Speech Recognition
- Automatic Speech Recognition System Evaluation
- Practical Applications of Speech Recognition Technology
职业道路
Career Role Description Speech Recognition Engineer (Primary Keyword: Speech Recognition, Secondary Keyword: AI) Develop and improve speech recognition algorithms; design and implement speech processing systems; highly sought after in the UK's growing AI sector.
Acoustic Modeler (Primary Keyword: Acoustic Modeling, Secondary Keyword: Machine Learning) Create and optimize acoustic models for speech recognition systems; collaborate with other engineers to enhance system performance; crucial role in improving accuracy and robustness.
Natural Language Processing (NLP) Engineer (Primary Keyword: NLP, Secondary Keyword: Speech Technology) Work with speech recognition output to improve understanding and interpretation of human language; translate speech into text and actions.
Machine Learning Scientist (Speech) (Primary Keyword: Machine Learning, Secondary Keyword: Speech Recognition) Develop and implement machine learning algorithms for speech recognition; analyze and interpret large datasets of speech data; critical for advancements in the field.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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