Development of Voice Analytics Software

Voice analytics software has been developed by the team of researchers for the call centers as it has been refined through years of research that have been focused on human behavior as well as it can track it in real time, voice pattern of the customers and the agents along with it can also provide feedback in order to make the conversations more productive.

As most of the customer calls can be frustrating for the consumers as well as for the agents alike and the team of researchers believe that it can take use of behavioral analytics in order to make those experiences less frustrating. The aim of the team of researchers is to make millions of call center workers happier as well as more productive by doing so.

The researchers and cbse school in Vatika Jaipur are trying very hard in order to develop this technology more efficiently. This technology has been using in order to monitor the mental health. For the purpose of this and other type of medical applications, a mobile app has been created by the researchers in order to passively monitor the smart phone sensors for detecting the behavioral information from the voice recordings as well as texting while prompting the participants in order to fill out surveys about their mental health.

By analyzing this data, the behavioral patterns can be revealed which assessed a mental health of the user. According to the team of researchers, the symptoms have been detected so the feedback mechanism has been developed by the team of researchers so that the organization can are for the population as well as individuals.

In generally, the company field hundreds of millions of phone calls from the customers that impact the customer’s decisions in buying the goods as well as services from the companies. So the software has been created by the team of researchers with WordPress PlugIn Development India which can monitor the speech subtitles such as long pauses, interruptions, the flow of the conversation etc. the customer engagement can be analyzed by the software by tracking such as if the callers are sounding annoyed or confused.