Deep and Shallow
portes grátis
Deep and Shallow
Machine Learning in Music and Audio
Greer, Ross; Dubnov, Shlomo
Taylor & Francis Ltd
12/2023
328
Mole
Inglês
9781032133911
15 a 20 dias
Descrição não disponível.
Preface
Chapter 1 Introduction to Sounds of Music
Chapter 2 Noise: the Hidden Dynamics of Music
Chapter 3 Communicating Musical Information
Chapter 4 Understanding and (Re)Creating Sound
Chapter 5 Generating and Listening to Audio Information
Chapter 6 Artificial Musical Brains
Chapter 7 Representing Voices in Pitch and Time
Chapter 8 Noise Revisited: Brains that Imagine
Chapter 9 Paying (Musical) Attention
Chapter 10 Last Noisy Thoughts, Summary and Conclusion
Appendix A Introduction to Neural Network Frameworks: Keras, Tensorflow, Pytorch
Appendix B Summary of Programming Examples and Exercises
Appendix C Software Packages for Music and Audio Representation and Analysis
Appendix D Free Music and Audio Editting Software
Appendix E Datasets
Appendix F Figure Attributions
References
Index
Chapter 1 Introduction to Sounds of Music
Chapter 2 Noise: the Hidden Dynamics of Music
Chapter 3 Communicating Musical Information
Chapter 4 Understanding and (Re)Creating Sound
Chapter 5 Generating and Listening to Audio Information
Chapter 6 Artificial Musical Brains
Chapter 7 Representing Voices in Pitch and Time
Chapter 8 Noise Revisited: Brains that Imagine
Chapter 9 Paying (Musical) Attention
Chapter 10 Last Noisy Thoughts, Summary and Conclusion
Appendix A Introduction to Neural Network Frameworks: Keras, Tensorflow, Pytorch
Appendix B Summary of Programming Examples and Exercises
Appendix C Software Packages for Music and Audio Representation and Analysis
Appendix D Free Music and Audio Editting Software
Appendix E Datasets
Appendix F Figure Attributions
References
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
computational musicology;symbolic audio representation;information theory in sound;generative audio systems;programming exercises music;neural network frameworks;creative AI for musical analysis
Preface
Chapter 1 Introduction to Sounds of Music
Chapter 2 Noise: the Hidden Dynamics of Music
Chapter 3 Communicating Musical Information
Chapter 4 Understanding and (Re)Creating Sound
Chapter 5 Generating and Listening to Audio Information
Chapter 6 Artificial Musical Brains
Chapter 7 Representing Voices in Pitch and Time
Chapter 8 Noise Revisited: Brains that Imagine
Chapter 9 Paying (Musical) Attention
Chapter 10 Last Noisy Thoughts, Summary and Conclusion
Appendix A Introduction to Neural Network Frameworks: Keras, Tensorflow, Pytorch
Appendix B Summary of Programming Examples and Exercises
Appendix C Software Packages for Music and Audio Representation and Analysis
Appendix D Free Music and Audio Editting Software
Appendix E Datasets
Appendix F Figure Attributions
References
Index
Chapter 1 Introduction to Sounds of Music
Chapter 2 Noise: the Hidden Dynamics of Music
Chapter 3 Communicating Musical Information
Chapter 4 Understanding and (Re)Creating Sound
Chapter 5 Generating and Listening to Audio Information
Chapter 6 Artificial Musical Brains
Chapter 7 Representing Voices in Pitch and Time
Chapter 8 Noise Revisited: Brains that Imagine
Chapter 9 Paying (Musical) Attention
Chapter 10 Last Noisy Thoughts, Summary and Conclusion
Appendix A Introduction to Neural Network Frameworks: Keras, Tensorflow, Pytorch
Appendix B Summary of Programming Examples and Exercises
Appendix C Software Packages for Music and Audio Representation and Analysis
Appendix D Free Music and Audio Editting Software
Appendix E Datasets
Appendix F Figure Attributions
References
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
