Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting from Kayseri University by NewsRx journalists, research stated, “Analyzing songs is a problem that is being inves tigated to aid various operations on music access platforms.” The news editors obtained a quote from the research from Kayseri University: “At the beginning of these problems is the identification of the person who sings t he song. In this study, a singer identification application, which consists of T urkish singers and works for the Turkish language, is proposed in order to find a solution to this problem. Mel-spectrogram and octave-based spectral contrast v alues are extracted from the songs, and these values are combined into a hybrid feature vector. Thus, problem-specific situations such as determining the differ ences in the voices of the singers and reducing the effects of the year and albu m differences on the result are discussed. As a result of the tests and systemat ic evaluations, it has been shown that a certain level of success has been achie ved in the determination of the singer who sings the song, and that the song is in a stable structure against the changes in the singing style and song structure. The results were analyzed in a database of 9 singers and 180 songs.”
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