A vacuum-tube guitar amplifier model using a recurrent neural network

  title={A vacuum-tube guitar amplifier model using a recurrent neural network},
  author={John William Covert and David L. Livingston},
  journal={2013 Proceedings of IEEE Southeastcon},
Rock and blues guitar players prefer the use of vacuum-tube amplifiers due to the harmonic structures developed when the amplifiers are overdriven. The disadvantages of vacuum tubes compared against solid-state implementations, such as power consumption, reliability, cost, etc., are far outweighed by the desirable sound characteristics of the overdriven vacuum-tube amplifier. There are many approaches to modeling vacuum-tube amplifier behaviors in solid-state implementations. These include a… CONTINUE READING


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