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دانلود کتاب The Python Audio Cookbook: Recipes for Audio Scripting with Python

دانلود کتاب کتاب آشپزی صوتی پایتون: دستور العمل هایی برای اسکریپت صوتی با پایتون

The Python Audio Cookbook: Recipes for Audio Scripting with Python

مشخصات کتاب

The Python Audio Cookbook: Recipes for Audio Scripting with Python

ویرایش:  
نویسندگان:   
سری:  
ISBN (شابک) : 9781032480114, 9781003386964 
ناشر: Focal Press 
سال نشر: 2023 
تعداد صفحات: 318 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 9 مگابایت 

قیمت کتاب (تومان) : 87,000



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فهرست مطالب

Cover
Half Title
Title
Copyright
Dedication
Contents
Acknowledgements
Glossary
1 Getting Started
	1.1 Installing Python
	1.2 Installing Python’s Package Manager
		1.2.1 Searching Modules with Pip
		1.2.2 Uninstalling Modules with Pip
	1.3 Installing an Integrated Development Environment
	1.4 Installing Pyo
		1.4.1 Installing Pyo with Pip
		1.4.2 Compiling Pyo from Sources
	1.5 Coding Conventions
	1.6 Conclusion
	Bibliography
2 Writing Your First Python Programs
	2.1 Hello World!
	2.2 Comments in Python
	2.3 Data Types in Python
		2.3.1 Numeric Data Types
		2.3.2 Boolean Data Type
		2.3.3 Sequence Data Types
		2.3.4 The Dictionary Data Type
		2.3.5 The Set Data Type
		2.3.6 Reserved Data Type Keywords
		2.3.7 NoneType
		2.3.8 Data Types Are Classes
	2.4 Conditional Tests
	2.5 Functions in Python
		2.5.1 Positional and Keyword Arguments
		2.5.2 Recursive Functions
	2.6 Loops in Python
	2.7 Scope
	2.8 Traceback
		2.8.1 Exceptions
	2.9 Importing Modules and Scripts Inside Other Scripts
		2.9.1 Importing All Methods and Classes of a Module
		2.9.2 if __name__ == “__main__”
	2.10 Hello Sound!
		2.10.1 Choosing an Audio Backend
	2.11 Hello GUI!
	2.12 Combining Interpreter Input with Predefined Scripts
	2.13 Conclusion
	2.14 Exercises
		2.14.1 Exercise 1
		2.14.2 Exercise 2
		2.14.3 Exercise 3
3 Diving into Audio Synthesis Techniques
	3.1 Oscillators and Waveforms
	3.2 Audio Synthesis
		3.2.1 Ring Modulation
		3.2.2 Amplitude Modulation
		3.2.3 Frequency Modulation
		3.2.4 Additive Synthesis
		3.2.5 Granular Synthesis
	3.3 Effects
		3.3.1 Subtractive Synthesis and Filtering
		3.3.2 Delay
		3.3.3 Reverb
	3.4 Control
		3.4.1 Applying Envelopes
		3.4.2 Sequencing
		3.4.3 MIDI
		3.4.4 Routing and Panning
	3.5 Sampling Rate, Bit Depth, Buffer Size, Latency, and Audio Range
		3.5.1 Sampling Rate and Bit Depth
		3.5.2 Buffer Size and Latency
		3.5.3 Audio Range
	3.6 FFT
	3.7 Conclusion
	3.8 Exercises
		3.8.1 Exercise 1
		3.8.2 Exercise 2
		3.8.3 Exercise 3
		3.8.4 Exercise 4
		3.8.5 Exercise 5
		3.8.6 Exercise 6
		3.8.7 Exercise 7
		3.8.8 Exercise 8
	Bibliography
4 Phase Vocoder Techniques
	4.1 What is the Phase Vocoder?
	4.2 Cross Synthesis
	4.3 Spectral Morphing
	4.4 PVOC Additive Synthesis
	4.5 Spectral Filtering with PVOC
	4.6 Spectral Reverberation
	4.7 Conclusion
	4.8 Exercises
		4.8.1 Exercise 1
		4.8.2 Exercise 2
		4.8.3 Exercise 3
	Bibliography
5 Controlling Pyo with Physical Computing
	5.1 What is Physical Computing
		5.1.1 What is the Arduino
	5.2 How Can We Connect the Arduino to Python
		5.2.1 Testing Our Arduino Board
		5.2.2 Connecting the Arduino to Python
	5.3 Using Proximity Sensors to Control Amplitude and Frequency
		5.3.1 Using One Proximity Sensor to Control the Amplitude of an Oscillator
		5.3.2 Using Two Proximity Sensors to Control the Amplitude and the Frequency of an Oscillator
	5.4 Controlling LEDs with Oscillators or by Detecting Attacks
		5.4.1 Blinking LEDs by Detecting Attacks
		5.4.2 Fading an LED In and Out with an Oscillator
	5.5 Creating a Granular Synthesizer with Arduino and Python
		5.5.1 Using pySerial
		5.5.2 Using pyFirmata
	5.6 Pros and Cons of pySerial and pyFirmata
	5.7 Conclusion
	5.8 Exercises
		5.8.1 Exercise 1
		5.8.2 Exercise 2
		5.8.3 Exercise 3
		5.8.4 Exercise 4
	Bibliography
6 Communicating with Other Software with OSC
	6.1 What is OSC?
	6.2 Available Python Modules for Sending and Receiving OSC Messages
	6.3 Receiving and Sending OSC Messages between Your Smartphone and Pyo
		6.3.1 Receiving OSC Messages from Your Smartphone in Pyo
		6.3.2 Sending OSC Messages from Pyo to Your Smartphone
	6.4 Sending and Receiving Messages between Pyo and an openFrameworks Program
	6.5 Conclusion
	6.6 Exercises
		6.6.1 Exercise 1
		6.6.2 Exercise 2
		6.6.3 Exercise 3
		6.6.4 Exercise 4
	Bibliography
7 Machine Learning in Music
	7.1 What are Machine Learning and Neural Networks
		7.1.1 Applications of ML
		7.1.2 How NNs work
	7.2 Available Python Modules for ML
	7.3 A Regression Neural Network
	7.4 A Classification Neural Network
	7.5 A Few Notes on Neural Networks and Training Datasets
	7.6 Conclusion
	7.7 Exercises
		7.7.1 Exercise 1
		7.7.2 Exercise 2
		7.7.3 Exercise 3
	Bibliography
8 Writing Your Own Classes in Python
	8.1 What are Python Classes and How to Write One
		8.1.1 Inheritance in Classes
	8.2 Writing a Square Wave Oscillator Class with Duty Cycle Control
	8.3 Writing a Triangle Wave Oscillator Class with Breakpoint Control
	8.4 Conclusion
	8.5 Exercises
		8.5.1 Exercise 1
		8.5.2 Exercise 2
9 Switched on music21
	9.1 What is music21?
	9.2 Applying Schoenberg’s Twelve-Tone System to Electronic Music
		9.2.1 Displaying the Score
	9.3 Playing Bach with Oscillators
	9.4 Conclusion
	9.5 Exercises
		9.5.1 Exercise 1
		9.5.2 Exercise 2
		9.5.3 Exercise 3
	Bibliography
10 The Events Framework
	10.1 The Events() and EventSeq() Classes
		10.1.1 Setting the Number of Repetitions
		10.1.2 Setting an EventSeq() Object for any Events() Kwarg
		10.1.3 Controlling the Envelope of an Events() Object
		10.1.4 Other Sequencing Classes
	10.2 Using Our Own Audio Classes
	10.3 Calling Functions
	10.4 Nesting Events Generators
	10.5 Sharing Values between Generators
	10.6 Using Other PyoObjects as Input to Generators
	10.7 Accessing the Audio Output of Events() in Other PyoObjects
	10.8 Revisiting Bach
	10.9 Conclusion
	10.10 Exercises
		10.10.1 Exercise 1
		10.10.2 Exercise 2
		10.10.3 Exercise 3
		10.10.4 Exercise 4
		10.10.5 Exercise 5
11 The MML and Prefix Expression
	11.1 What is the MML
	11.2 The MML Language
		11.2.1 Notes and Durations
		11.2.2 Rests, Loops, Comments, and Variables
		11.2.3 Tuplets and Randomness
	11.3 What is the Prefix Expression
	11.4 The Prefix Expression Language
		11.4.1 Arithmetic Operators
		11.4.2 Moving Phase Operators
		11.4.3 Conditional Operators
		11.4.4 Trigonometric Functions
		11.4.5 Power and Logarithmic Functions
		11.4.6 Clipping Functions
		11.4.7 Random Functions
		11.4.8 Complex Numbers
		11.4.9 Filter Functions
		11.4.10 Multiple Outputs
		11.4.11 Constants
		11.4.12 Accessing Input and Output Samples
		11.4.13 Defining Functions Within the Prefix Language
		11.4.14 State Variables
		11.4.15 User Variables
		11.4.16 Loading External Files
	11.5 A few more Examples with Prefix Expressions
	11.6 Conclusion
	11.7 Exercises
		11.7.1 Exercise 1
		11.7.2 Exercise 2
		11.7.3 Exercise 3
	Bibliography
12 Writing Your Own GUI
	12.1 Available Python Modules for GUI Widgets
	12.2 Using Python’s Native Tkinter
	12.3 Using PyQt
	12.4 Conclusion
13 Using Various Python APIs in Music Scripts
	13.1 What Are Python APIs?
	13.2 Using Google Maps API to Retrieve Geolocation Information as Musical Input
		13.2.1 Contextualising Our Project
		13.2.2 Writing the Code
	13.3 Mining Tweets from Twitter and Applying Sentiment Analysis to Control Sound
		13.3.1 Contextualising Our Project
		13.3.2 Writing the Code
	13.4 Conclusion
	13.5 Exercises
		13.5.1 Exercise 1
		13.5.2 Exercise 2
		13.5.3 Exercise 3
		13.5.4 Exercise 4
		13.5.5 Exercise 5
Conclusion
Index




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