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Speech recognition is a fundamental technology in the field of artificial intelligence (AI) that focuses on converting spoken language into written text. In today's digital age, where voice-activated assistants, smart devices, and automated customer service systems have become prevalent, understanding and implementing speech recognition algorithms is crucial for AI developers and researchers. This course on Speech Recognition in AI provides learners with the necessary knowledge and skills to delve into this exciting field.
 

Why Learn Speech Recognition in AI?
 

Learning speech recognition in AI offers numerous benefits for aspiring AI professionals, researchers, and technology enthusiasts. Here are a few compelling reasons to undertake this course:

• Industry Relevance: Speech recognition is increasingly being integrated into various industries, including healthcare, customer service, virtual assistants, and more. By mastering this technology, you gain a competitive edge in the job market and open doors to a wide range of career opportunities.
• Personalization and User Experience: Speech recognition allows for personalized interactions with technology, enabling devices and systems to understand and respond to individual users' spoken commands. By learning speech recognition, you can contribute to improving user experience and building intuitive interfaces.
• Accessibility: Speech recognition plays a pivotal role in creating accessible technologies for individuals with disabilities. Understanding this technology empowers you to develop inclusive applications and services that cater to diverse user needs.
   

Course Overview:

The Speech Recognition in AI course covers the principles, applications, and challenges of speech recognition. It explores topics such as speech signal processing, language modeling, hidden Markov models, deep learning techniques, evaluation metrics, and practical applications. Through this comprehensive curriculum, learners will gain the knowledge and skills necessary to develop speech recognition systems and understand their real-world applications.

In this course on Introduction to Speech Recognition, we are going to look into some of the basics of speech recognition, like the ASR systems and acoustic models. We will also be looking into the Evolution of speech recognition as a field and its challenges. Lastly, we will also look into the Hidden Markov model and Search space decoder.