Call for Papers

Special Issue on Big Data Analytics, IoT, and the Role of Speech Technologies

Issue Editor: Dr. K. Vijayakumar, St. Joseph's Institute of Technology, India

At the core of smart and functional technology lie ground-breaking concepts such as IoT and Big Data. These two ideas have taken the industry by storm and redefined the approach taken to arriving at solutions. By combining their powers with speech recognition in the world of IoT and Big Data we can surely witness some remarkable changes. The data produced are of large quantities and in dire need of efficient processing, as most of the data otherwise sensed is meaningless. Big Data takes the large sets of data, processes them in order to arrive at meaningful connotations and presents the findings as desirable results. When IoT is applied, this process is improved, the results are more refined and the margin for error is reduced. In the subset of problems that require speech recognition, IoT plays a major role as it is responsible for intelligent understanding of the speech input as well as selecting the appropriate response based on the processing carried out on the input. 

There are several applications that function with Big Data and IoT. Smart parking modules are one example of how the data sensed are intelligently translated into logical decisions. Smart farming is another application of IoT where the field data is processed and appropriate responses or reactions are carried out. For someone monitoring a large area of land, this could be of incredible value. There are many such applications and modules that has been developed. Speech recognition under IoT and Big Data technologies have drastically changed the pace of data processing and smart living. Smart assistants, chat bots, ticket reservation systems are few places where the speech technology is of primary importance. 

The International Journal of Speech Technology is accepting research and original submissions regarding this field of study for inclusion in this special issue on topics including, but not limited, to:

  • Natural Language Processing
  • Deep neural network-based speech synthesis
  • Intelligent Voice Processing
  • Keyword Spotting for Smart Assistants
  • Natural Interactive Simulations
  • Sentiment Analysis using Computational Techniques 
  • Voice Activity Detection for Efficient Assistance 
  • Speech Tagging and Conversational Acoustic Models

Important Dates:

  • Submission Deadline: July 30, 2020
  • Notification of acceptance: September 15, 2020
  • Revised manuscript submission deadline: October 15, 2020
  • Notification of final decision: November 15, 2020

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