February 17, 2021
The system’s use cases include call centres and e-commerce platforms
One of the biggest challenges that call centres face in the country is people using more than one language in conversations. Though speech recognition solutions are available, they are mostly language-specific, making it difficult to identify, transcribe and analyse the data.
Researchers at the International Institute of Information Technology (IIIT-H) have found a workable solution to this problem.
They have come up with a common Automatic Speech Recognition (ASR) system for six Indian languages. The multi-lingual system will hit the market by August 2021, according to Anil Kumar Vuppala, a Professor at IIIT-H who led the research team.
January 07, 2021
For English and Hindi speaking gadget users, tools like Siri, Alexa, and the Google Assistant come in handy. From culling out phone numbers, making calls, and getting answers for search queries, these artificial intelligence-based solutions have emerged as virtual secretaries.
It is not the same case with the users in regional languages. The basic problem is scarcity of voice data samples in the databases. “You need to have datasets containing speech is crucial. In order to address this challenge, we have launched a pilot with a set of users,” an executive of International Institute of Information of Technology (IIIT-H) said.