This course provides a comprehensive introduction to speech recognition, a fundamental technology that enables machines to understand and interpret human speech. Participants will explore the foundational principles of speech recognition, including speech signal processing techniques and various speech recognition models. The curriculum covers the components of automatic speech recognition (ASR) systems, different types of speech recognition systems, and their applications across diverse domains. Additionally, participants will examine the challenges inherent in speech recognition, ethical considerations surrounding its use, and the latest advancements shaping its future. The course concludes with practical considerations for implementing speech recognition systems in real-world scenarios.

Who This Course Is For:

This course is designed for individuals interested in gaining a solid understanding of speech recognition technology and its applications. It is suitable for data scientists, engineers, researchers, and professionals working in fields such as natural language processing, artificial intelligence, human-computer interaction, and telecommunications. Whether you are a beginner seeking to explore the basics of speech recognition or an experienced practitioner looking to deepen your knowledge, this course provides valuable insights into the principles, challenges, and advancements in speech recognition technology.