Description
Speech Enhancement, Modeling and Recognition provides an in-depth exploration of the technologies and methodologies used to improve and analyze speech signals. The book covers essential algorithms and cutting-edge techniques for enhancing audio quality, building accurate speech models, and developing robust recognition systems.
Written by S. Ramakrishnan, this resource addresses both theoretical foundations and real-world applications in speech processing. Topics include noise reduction, signal filtering, acoustic modeling, feature extraction, and machine learning approaches to speech recognition. Engineers, researchers, and students will find practical insights into implementing these technologies across various platforms and applications, from telecommunications to voice-controlled systems.
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