Survey on Machine Learning in Speech Emotion Recognition and Vision Systems Using a Recurrent Neural Network (RNN)

This is a survey paper that aims to give reviews about that finest architectures of machine learning, the use of algorithms and the applications of the system and speech and vision processes. The current technology poses vast areas of research in the field of architectures and algorithms which are used in machine learning, they can further be used for the planning new ideas and recreation of speech system and vision systems intelligently. The level of personal computing and its commercialization is at an all-time high. The machine learning can used for learning and training using large sets of sensor data and computing through clouds, also not to forget the mobile and embedded technology which is even more sophisticated. The survey is presented by giving a detailed background and the evolving nature of the most used models of deep learning which are used effectively in the vision and speech systems. The survey aims to give a perspective into the large scale research at the industrial level, it also highlights the efforts taken for future focus and upcoming demands of the intelligent use of speech and vision processes. The demand in a strong, robust and high intelligent system is that of lower latency and fidelity to be high. This is mostly seen in hardware devices with limited resources like automobiles, robots and mobile phones. These points are kept in mind and a detail of the major challenges and success rates especially in machine learning with platforms that have limited resources. The restrictions are in memory, life of the battery and the capacity of processing. The conclusion is based on the applications which are fast emerging based on the usage of speech and vision systems. Examples include effective evaluation, smart and quick system transportation and correct medicine prescriptions. This paper promise to deliver a comprehensive survey emphasizing on the demands of speech and vision systems with the view of both hardware and software systems. The technologies which are discussed in machine learning are fast gaining access and aim to revolutionize the areas of research and development in speech and vision systems.