Conversational Artificial Intelligence

10Machine Learning for Automatic Speech Recognition

Hrishitva Patel^1*, Ramakrishnan Raman², Malik Jawarneh³, Arshiya S. Ansari⁴, Hriakumar Pallathadka⁵ and Domenic T. Sanchez⁶

¹MS in Computer Science, SUNY Binghamton, New York, USA

²Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune, Maharashtra, India

³Faculty of Computing Sciences, Gulf College, Al-Khuwair, Oman

⁴Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Al-Majmaah, Saudi Arabia

⁵Manipur International University, Manipur, India

⁶Cebu Technological University-NEC, Cebu City, Philippines

Abstract

It is very important to be able to use speech signals correctly so that you can share your feelings, thoughts, and information about the real world, as well as for your day-to-day work. Speech is the most natural way for people to talk to each other verbally. With the help of speech recognition technology, computers can now understand human languages and respond to spoken commands. At the heart of the field of voice recognition is the development of methods and platforms for analyzing spoken and natural language. It is put into the computer these days so that the right processing and rearranging can happen. Over the past 10 years, automatic speech recognizers have gotten much better at what they do. Most studies have looked at the many technologies that are now available to help people who have trouble speaking. Research ...