Postgraduate Certificate in Speech Recognition using LSTM

Name: Postgraduate Certificate in Speech Recognition using LSTM
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The Postgraduate Certificate in Speech Recognition using LSTM is a comprehensive course that equips learners with essential skills in speech recognition technology. This course is crucial in today's digital age, where voice-activated assistants and speech recognition systems are becoming increasingly popular across various industries.

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AboutThisCourse

The course focuses on Long Short-Term Memory (LSTM) networks, a type of Recurrent Neural Network (RNN) that is highly effective in speech recognition tasks. Learners will gain hands-on experience in developing and implementing LSTM networks for speech recognition applications. Upon completion, learners will be able to design and implement advanced speech recognition systems, making them highly valuable in industries such as healthcare, telecommunications, and technology. This course not only provides theoretical knowledge but also essential practical skills, enabling learners to advance their careers in this rapidly growing field.

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CourseDetails

• Unit 1: Introduction to Speech Recognition and LSTM
• Unit 2: Basics of Speech Processing and Acoustic Features
• Unit 3: Deep Learning Fundamentals
• Unit 4: Long Short-Term Memory (LSTM) Networks
• Unit 5: LSTM Architectures for Speech Recognition
• Unit 6: Training and Optimization Techniques for LSTM-based Models
• Unit 7: Evaluation Metrics and Perplexity in Speech Recognition
• Unit 8: Advanced Topics in Speech Recognition using LSTM
• Unit 9: Applications and Real-world Use Cases of Speech Recognition
• Unit 10: Ethical and Security Considerations in Speech Recognition

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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POSTGRADUATE CERTIFICATE IN SPEECH RECOGNITION USING LSTM

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London School of International Business (LSIB)

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05 May 2025

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