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The Routledge Dictionary of Modern American Slang and Unconventional English
The 25,000 entries are accompanied by citations that authenticate the words as well as offer examples of usage from popular literature, newspapers, magazines, movies, television shows, musical lyrics, and Internet user groups. Etymology, cultural context, country of origin and the date the word was first used are also provided.
Songs generator
Songs generator app is a tool to generate lyrics, musi,and voice based on the given selected choices of users using Deep learning models. This app has multiple aims to achieve, the first aim is to generate lyrics to help a computer program capable of generating lyrics for given melodies, the deep learning model goal in this phase is to generate lyrics of the chosen mood say (happy, sad, etc. ), by training itself based on the given datasets of lyrics of various artists, but not identical to existing lyrics, it takes a sequence of words as an input and output a continuation of that sequence using our model. For the second phase, The goal of this model is to generate music by using a deep learning model that takes tokenized MIDI files as input and predicts the notes as an output the output of this model would be a midi file. For the last phase, we used a library to generate a voice that takes the output of the first model and the second model to generate a voice that is consistent with the lyrics and the music.
Personalized mood-enhancing music player
Our proposed application, the "MELAI Music Player," utilizes advanced AI techniques for accurate emotion detection. The MELAI Music Player employs facial recognition technology with an impressive face emotion recognition accuracy of 82.56%. This enables the application to analyze the emotions displayed by a person's facial expressions, providing a more comprehensive understanding of the user's current mood. Furthermore, the application utilizes sophisticated music emotion recognition techniques, including melody detection with an accuracy of 79.12%. This helps to identify the emotions conveyed by the song's rhythm, tempo, and melody, and analyze how they impact the user's mood.
