09-03-2017 дата публикации
Номер: US20170070817A1
Provided is an apparatus and corresponding method to control sound. The apparatus includes a genre determiner configured to determine a genre of sound data by using a genre recognition model, an equalizer setter configured to set an equalizer according to the determined genre, and a reproducer configured to reproduce the sound data based on the set equalizer. 1. An apparatus to control sound , the apparatus comprising:a genre determiner configured to determine a genre of sound data by using a genre recognition model;an equalizer setter configured to set an equalizer according to the determined genre; anda reproducer configured to reproduce the sound data based on the set equalizer.2. The apparatus of claim 1 , wherein the genre determiner determines a program genre of the sound data by using the genre recognition model claim 1 , and in response to a determination that the sound data is music data claim 1 , the genre determiner determines a music genre of the sound data.3. The apparatus of claim 2 , wherein the program genre comprises at least one of news claim 2 , drama claim 2 , entertainment claim 2 , sport claim 2 , documentaries claim 2 , movie claim 2 , comedy claim 2 , and music.4. The apparatus of claim 2 , wherein the music genre comprises at least one of classical claim 2 , dance claim 2 , folk claim 2 , heavy metal claim 2 , hip hop claim 2 , jazz claim 2 , pop claim 2 , rock claim 2 , Latin claim 2 , ballad claim 2 , and rap.5. The apparatus of claim 1 , wherein the genre recognition model is generated by machine learning based on training sound data.6. The apparatus of claim 5 , wherein the machine learning algorithm comprises one of neural network claim 5 , decision tree claim 5 , generic algorithm (GA) claim 5 , genetic programming (GP) claim 5 , Gaussian process regression claim 5 , Linear Discriminant Analysis claim 5 , K-nearest Neighbor (K-NN) claim 5 , Perceptron claim 5 , Radial Basis Function Network claim 5 , Support Vector Machine (SVM) claim ...
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