Our system successfully determined the genre of the vast majority of the test songs. Not only did the system choose a genre, it quantified its output with a level of sureness.
Performance of the neural network improved with successive inputs of training vectors. It begins to recognize characteristics of each music genre!When tested with the training vectors, the system is 87.5% accurate. Higher accuracy implies that the system has memorized the training set and is unable to generalize when given new inputs. Lighter background stripes indicate greater certainty in identification, while increasingly darker hues note greater uncertainty. Horizontal black bars indicate actual genre, and the stems indicate predicted genre.
These plots show how well the first three genres separate in the output of the network. Even the testing vectors are separated by a high degree of confidence.
Spatial separation, weighted by sureness level, of classical (red), jazz (blue), and rap (green) in the training vectors.Spatial separation, weighted by sureness level, of punk (red), techno (blue), and country (green) in the training vectors.Though worthy of the Museum of Modern Art, this depicts the output of the neural network for each of the six genres.Provided songs that the network has never seen, it performs perfectly and with high confidence for rap, while classification of techno is comparably poor. However, the system is aware of this: error coincides with lack of confidence. Lighter background stripes indicate greater certainty in identification, while increasingly darker hues note greater uncertainty. Horizontal black bars indicate actual genre, and the stems indicate predicted genre.Spatial separation, weighted by sureness level, of classical (red), jazz (blue), and rap (green) in the training vectors.Spatial separation, weighted by sureness level, of punk (red), techno (blue), and country (green) in the training vectors.
Our system successfully determined the genre of the vast majority of the test songs. Not only did the system choose a genre, it quantified its output with a level of sureness. When the system was in error, there was a corresponding uncertainty. The genre that gave our system the most difficulty was techno. The output of the DSP functions for techno had a very high standard deviation, making it hard for the neural network to distinguish its pattern from those of the other genres. Given an unknown song, there is an 84% chance that the system can determine the genre successfully.
Questions & Answers
A golfer on a fairway is 70 m away from the green, which sits below the level of the fairway by 20 m. If the golfer hits the ball at an angle of 40° with an initial speed of 20 m/s, how close to the green does she come?
A mouse of mass 200 g falls 100 m down a vertical mine shaft and lands at the bottom with a speed of 8.0 m/s. During its fall, how much work is done on the mouse by air resistance
Chemistry is a branch of science that deals with the study of matter,it composition,it structure and the changes it undergoes
Adjei
please, I'm a physics student and I need help in physics
Adjanou
chemistry could also be understood like the sexual attraction/repulsion of the male and female elements. the reaction varies depending on the energy differences of each given gender. + masculine -female.
Pedro
A ball is thrown straight up.it passes a 2.0m high window 7.50 m off the ground on it path up and takes 1.30 s to go past the window.what was the ball initial velocity
2. A sled plus passenger with total mass 50 kg is pulled 20 m across the snow (0.20) at constant velocity by a force directed 25° above the horizontal. Calculate (a) the work of the applied force, (b) the work of friction, and (c) the total work.
you have been hired as an espert witness in a court case involving an automobile accident. the accident involved car A of mass 1500kg which crashed into stationary car B of mass 1100kg. the driver of car A applied his brakes 15 m before he skidded and crashed into car B. after the collision, car A s
can someone explain to me, an ignorant high school student, why the trend of the graph doesn't follow the fact that the higher frequency a sound wave is, the more power it is, hence, making me think the phons output would follow this general trend?
Nevermind i just realied that the graph is the phons output for a person with normal hearing and not just the phons output of the sound waves power, I should read the entire thing next time
Joseph
Follow up question, does anyone know where I can find a graph that accuretly depicts the actual relative "power" output of sound over its frequency instead of just humans hearing
Joseph
"Generation of electrical energy from sound energy | IEEE Conference Publication | IEEE Xplore" ***ieeexplore.ieee.org/document/7150687?reload=true
A string is 3.00 m long with a mass of 5.00 g. The string is held taut with a tension of 500.00 N applied to the string. A pulse is sent down the string. How long does it take the pulse to travel the 3.00 m of the string?
