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The last decade has witnessed an increased interest in applying machine learning techniques to predict faults and anomalies in the operation of wind turbines. These efforts have lately been dominated by deep learning techniques which, as in other fields, tend to outperform traditional machine learning algorithms given sufficient amounts of training data. An important shortcoming of deep learning models...
With the rise in Air Traffic flow across the world due to advancement in technology and developments in the field of aeronautical engineering, the cases of emergency and panic situations on flights have also emerged at an exponential rate. Every single day, we hear of emergency situations in flights like fires, birdstrikes, diversions, engine failures and emergency landings etc. Across the globe,...
In this Globalized world, the Call Centers and BPOsare increasing at an exponential rate. There is stiff competitionamong various companies and every company wants to have itsclients happy and satisfied with the resolution of the problems. For this purpose, Agent Quality Monitoring is an importantrequirement. Since in a typical Call Centre, thousands of calls aremade by agents in a single day, it...
This paper proposes a method to identify and assess different levels of anger from the speech utterances. Unlike the existing methods which only detect the emotion from speech, the proposed method not only detects but also labels the level of an emotion. A 75 dimensional feature vector has been extracted from each audio clip and is used for training and testing. For classification and assessment the...
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