Professional Certificate in Conversational Speech Recognition
-- ViewingNowThe Professional Certificate in Conversational Speech Recognition is a course designed to equip learners with the essential skills needed to thrive in the rapidly growing field of voice-enabled technology. This program covers the fundamentals of speech recognition, language understanding, and text-to-speech synthesis, providing a comprehensive understanding of the technology that powers virtual assistants, smart speakers, and other voice-activated devices.
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โข Introduction to Conversational Speech Recognition: Understanding the basics, history, and importance of conversational speech recognition technology.
โข Speech Recognition Architecture: Exploring the components and processes involved in speech recognition systems.
โข Speech Signal Processing: Analyzing the conversion of speech signals into a format that can be processed by machines.
โข Natural Language Processing (NLP): Learning about the techniques and methods used to understand and interpret human language.
โข Machine Learning for Speech Recognition: Examining the application of machine learning algorithms in conversational speech recognition.
โข Deep Learning Models in Speech Recognition: Diving into the implementation of deep learning models such as RNNs, LSTMs, and CNNs.
โข Speech Recognition Evaluation Metrics: Understanding the performance measurement techniques used to evaluate speech recognition systems.
โข Real-world Applications of Speech Recognition: Exploring the various real-world applications and use cases of conversational speech recognition technology.
โข Ethical Considerations and Bias in Speech Recognition: Addressing ethical concerns, potential biases, and privacy issues in speech recognition systems.
โข Future Trends and Innovations in Speech Recognition: Keeping up with the latest trends, advancements, and future directions of conversational speech recognition technology.
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