In a stream of audio input of the user, voice pitch defines the most distinct frequency of from the chunk of the voice clip, for all the chunks of the voice clip.
Published in Chapter:
CHEERBOT: A Step Ahead of Conventional ChatBot
Chintan Bimal Maniyar (Charotar University of Science and Technology, India), Chintan M. Bhatt (Charotar University of Science and Technology, India), Tejas Nimeshkumar Pandit (Charotar University of Science and Technology, India), and Dewanshi Harishankar Yadav (Charotar University of Science and Technology, India)
Copyright: © 2019
|Pages: 17
DOI: 10.4018/978-1-5225-7458-3.ch013
Abstract
The objective of this chapter is to discuss the authors' interaction and involvement with technology and bots, opening a whole new and wide scope of possibilities while letting bots comfort us. The prevalence of bots and automation is increasing by every passing day – Cortana, Siri have been here for a long time and have now been overtaken by Alexa and other home automation systems that provide a two-way dialogue conversations. This chapter explores the possibilities of creating bots that can cheer us up when we are sad. Analyzing the semantics of our sentences and analyzing the pitch of our voice to identify our emotional state, and then providing an n-way dialogue conversation, relevant to the then existing context, instead of the mundane two-way dialogue conversation is the lucid content of this chapter. Summing it up, this chapter examines the possibility of creating bots that can serve as an emotional support to us humans.