Overview

""Speech and Language Disorders and Recognition Systems: Traditional to Modern Techniques"" offers an in-depth journey into the world of speech disorders and technological solutions. The book explains major disorders like dysphasia, apraxia, dysarthria, and stuttering, and introduces traditional and deep learning-based speech recognition methods. Covering techniques like HMM, GMM, DTW, MFCCs, RNNs, LSTM, Transformers, Wav2Vec 2.0, and Whisper, it connects speech therapy needs with AI advancements. It also explores feature engineering, data augmentation, decoding strategies, and real-world challenges. Practical applications in healthcare and therapy are emphasized, along with future trends and hands-on tutorials. Designed for students, researchers, and clinicians, the book bridges the clinical and AI worlds, offering insights for building intelligent, patient-centric speech therapy solutions.

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