Postgraduate Certificate in Automated Speech Recognition
-- viewing nowAutomated Speech Recognition (ASR) is transforming industries. This Postgraduate Certificate equips you with the skills to excel in this exciting field.
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Course details
• Acoustic Modeling for ASR
• Language Modeling Techniques
• Hidden Markov Models and their Applications
• Deep Learning for Speech Recognition
• Evaluation Metrics and Performance Analysis
• Speech Recognition System Design and Implementation
• Advanced Topics in Automatic Speech Recognition
• Practical Applications of ASR Technology
• Research Methods and Dissertation Guidance
Career path
Career Role (Automated Speech Recognition) | Description |
---|---|
Senior Speech Scientist | Develops and improves core ASR algorithms. Leads research into cutting-edge speech technology. High demand, excellent salary potential. |
Machine Learning Engineer (Speech) | Builds and deploys machine learning models for speech recognition systems. Works with large datasets and cloud platforms. Strong programming skills required. |
Speech Recognition Developer | Develops and maintains speech recognition software applications. Integrates ASR technology into various products and services. Good problem-solving skills needed. |
Acoustic Modeler | Specializes in the acoustic modeling aspect of ASR. Designs and implements acoustic models to improve speech recognition accuracy. Deep understanding of signal processing. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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