This article looks at the progress, challenges and future directions in the field of speech recognition for intelligent AI devices. Speech recognition technology has made significant progress over the years, enabling seamless interactions between humans and artificial intelligence. This article provides an in-depth analysis of modern speech recognition techniques used in smart AI devices and the potential applications and limitations of the technology. It also discusses the current challenges faced by developers and researchers and suggests possible solutions to overcome them. Keywords-Natural language processing Neat vs. scruff, Soft vs. hard computing, Narrow vs general AI, Rule-based approaches, Statistical and machine learning based methods, Deep Neural Networks, Deep learning models for speech recognition, Hybrid and ensemble approaches, Voice biometrics and authentication, Speech translation and language learning, Natural language processing improvement.
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IJSREM Journal (2024) studied this question.
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