Automatic Speech Recognition - From GMMs to Neural Networks - Day 1 Morning

Explore the evolution of automatic speech recognition technology through this comprehensive lecture that traces the development from Gaussian Mixture Models to modern neural network approaches. Learn fundamental concepts in speech recognition systems, understand the mathematical foundations of GMMs and their applications in early ASR systems, and discover how neural networks revolutionized the field. Examine the transition from traditional statistical methods to deep learning architectures, compare the strengths and limitations of different approaches, and gain insights into the technical innovations that shaped contemporary speech recognition technology. Master key algorithms, probability models, and neural network designs that form the backbone of modern ASR systems through detailed explanations and practical examples from an expert in the field.