Description
Speech Recognition (HB 2017) is a thorough examination of modern speech recognition systems and technologies. The book covers the theoretical foundations and practical implementations of voice processing, acoustic modeling, and language understanding algorithms that power contemporary speech recognition applications.
Authored by Mihelic F., this work addresses key challenges in converting spoken language into digital text and meaningful commands. It explores various methodologies, machine learning approaches, and neural network architectures used in state-of-the-art recognition systems. The book is valuable for researchers, engineers, and professionals seeking to understand how speech recognition technology works and its potential applications across different industries, including telecommunications, healthcare, smart devices, and human-computer interaction.
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