Recruitment process is a time-consuming affair and a lot of research is underway in automating some of the aspects of this process. Computer-based tests that evaluate an individual’s knowledge are rampant. But can such tests be developed to measure the communication skills of a candidate, in place of a face-to-face interview? Prof. Dinesh Jayagopi and his team of researchers at the International Institute of Information Technology (IIIT), Bengaluru, have now identified features and attributes that help in predicting the communication skills of candidates. Using Machine Learning, they have developed a prediction algorithm that can evaluate the communication skills of an individual. “The goal of the study is to put a candidate in both manual and automated test settings and compare their behavior and behavior perception across the two scenarios”, explains Prof. Jayagopi.
ఐఐటీ బాంబే, ఐఐటీ మద్రాస్ మరియు ఐఐఐటి హైదరాబాద్ పరిశోధకులు కలిసి ఆంగ్లం నుండి అనేక భారతీయ భాషలకు స్పీచ్-టు-స్పీచ్ యాంత్రిక అనువాదం (SSMT) వ్యవస్థను రూపొందించారు.
ముంబై/