Due to the tremendous growth in digital channels, systems were generating larger volume of text and speech data. Technologies are updating regularly to make sense and use of these data, for their business improvements.
Speech recognition technology, the most advanced and promising branch of Artificial Intelligence and Machine Learning, enable the recognition and translation of human/machine text or speech data with main benefit of productivity in core business.
In this speech recognition course, gives you a detailed look at the science of applying deep learning algorithms to process speech data. To become a master in speech recognition, we include the contents such as TensorFlow programming, implementing neural network using TensorFlow framework, Understanding of CNN & advanced neural network for diffident applications, Speech sentiment analysis, DialogFlow conversational agents, language models and language model for NLP BERT etc.