Global Certificate in Speech Synthesis Algorithms
-- ViewingNowThe Global Certificate in Speech Synthesis Algorithms course is a comprehensive program that focuses on teaching the latest advancements in text-to-speech technology. This course is essential for professionals working in the fields of AI, machine learning, and natural language processing, as it provides in-depth knowledge of speech synthesis algorithms and their practical applications.
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• Speech Synthesis Fundamentals: Understanding the basics of speech synthesis, including its history, applications, and the different types of speech synthesis systems.
• Text-to-Speech (TTS) Systems: Exploring the architecture and components of TTS systems, including text analysis, waveform generation, and concatenative and parametric synthesis.
• Speech Synthesis Markup Language (SSML): Learning the XML-based markup language used to control speech synthesis, including tags for emphasis, pitch, and rate.
• Diphone and Unit Selection Synthesis: Understanding the principles of diphone synthesis and unit selection, and their advantages and limitations in TTS systems.
• Parametric Synthesis: Learning about the different types of parametric synthesis, including formant, articulatory, and source-filter models, and their applications in TTS systems.
• Speech Synthesis Evaluation: Evaluating the quality of speech synthesis systems using subjective and objective metrics, such as naturalness, intelligibility, and speaker similarity.
• Deep Learning and Neural Networks in Speech Synthesis: Exploring the use of deep learning and neural networks in TTS systems, including recurrent and convolutional neural networks, and generative adversarial networks.
• Ethics and Social Impact of Speech Synthesis: Discussing the ethical and social issues related to speech synthesis, such as privacy, security, and accessibility.
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- ProficiencyEnglish
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