Abstract
Abstract: In the day to day life of a human and in the technologies that is emerging, music is incredibly significant. Conventionally, it is the work of a user to search for a song manually from the list of songs in a music player. Here, an efficient and accurate model is introduced to generate a playlist on the basis of users present emotional state and behaviour. Existing methods for automated playlist building are computationally inefficient, inaccurate, and can involve the usage of additional gear such as EEG or sensors. Speech is the most primitive and natural form of communicating feelings, emotions, and mood, and its processing is computationally intensive, time-consuming, and expensive. This suggested system uses real-time face emotion extraction as well as audio feature extraction.
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