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دانلود کتاب Audio Toolbox User’s Guide

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Audio Toolbox User’s Guide

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Audio Toolbox User’s Guide

ویرایش:  
 
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ناشر: MathWorks 
سال نشر: 2023 
تعداد صفحات: [1316] 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 21 Mb 

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فهرست مطالب

Audio Toolbox Examples
	Transfer Learning with Pretrained Audio Networks
	Effect of Soundproofing on Perceived Noise Levels
	Speech Command Recognition Code Generation on Raspberry Pi
	Speech Command Recognition Code Generation with Intel MKL-DNN
	Speech Command Recognition in Simulink
	Time-Frequency Masking for Harmonic-Percussive Source Separation
	Binaural Audio Rendering Using Head Tracking
	Speech Emotion Recognition
	End-to-End Deep Speech Separation
	Delay-Based Pitch Shifter
	Psychoacoustic Bass Enhancement for Band-Limited Signals
	Tunable Filtering and Visualization Using Audio Plugins
	Communicate Between a DAW and MATLAB Using UDP
	Acoustic Echo Cancellation (AEC)
	Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter
	Acoustic Noise Cancellation Using LMS
	Delay-Based Audio Effects
	Add Reverberation Using Freeverb Algorithm
	Multiband Dynamic Range Compression
	Pitch Shifting and Time Dilation Using a Phase Vocoder in MATLAB
	Pitch Shifting and Time Dilation Using a Phase Vocoder in Simulink
	Remove Interfering Tone From Audio Stream
	Vorbis Decoder
	Dynamic Range Compression Using Overlap-Add Reconstruction
	LPC Analysis and Synthesis of Speech
	Simulation of a Plucked String
	Audio Phaser Using Multiband Parametric Equalizer
	Loudness Normalization in Accordance with EBU R 128 Standard
	Multistage Sample-Rate Conversion of Audio Signals
	Graphic Equalization
	Audio Weighting Filters
	Sound Pressure Measurement of Octave Frequency Bands
	Cochlear Implant Speech Processor
	Acoustic Beamforming Using a Microphone Array
	Identification and Separation of Panned Audio Sources in a Stereo Mix
	Live Direction of Arrival Estimation with a Linear Microphone Array
	Positional Audio
	Surround Sound Matrix Encoding and Decoding
	Speaker Identification Using Pitch and MFCC
	Measure Audio Latency
	Measure Performance of Streaming Real-Time Audio Algorithms
	THD+N Measurement with Tone-Tracking
	Measure Impulse Response of an Audio System
	Measure Frequency Response of an Audio Device
	Generate Standalone Executable for Parametric Audio Equalizer
	Deploy Audio Applications with MATLAB Compiler
	Parametric Audio Equalizer for Android Devices
	Parametric Audio Equalizer for iOS Devices
	Audio Effects for iOS Devices
	Multiband Dynamic Range Compression for iOS Devices
	Denoise Speech Using Deep Learning Networks
	Train Speech Command Recognition Model Using Deep Learning
	Ambisonic Plugin Generation
	Ambisonic Binaural Decoding
	Multicore Simulation of Acoustic Beamforming Using a Microphone Array
	Convert MIDI Files into MIDI Messages
	Cocktail Party Source Separation Using Deep Learning Networks
	Parametric Equalizer Design
	Octave-Band and Fractional Octave-Band Filters
	Pitch Tracking Using Multiple Pitch Estimations and HMM
	Train Voice Activity Detection in Noise Model Using Deep Learning
	Voice Activity Detection in Noise Using Deep Learning
	Using a MIDI Control Surface to Interact with a Simulink Model
	Spoken Digit Recognition with Wavelet Scattering and Deep Learning
	Active Noise Control with Simulink Real-Time
	Acoustic Scene Recognition Using Late Fusion
	Keyword Spotting in Noise Using MFCC and LSTM Networks
	Speaker Verification Using Gaussian Mixture Model
	Sequential Feature Selection for Audio Features
	Train Generative Adversarial Network (GAN) for Sound Synthesis
	Speaker Verification Using i-Vectors
	i-vector Score Normalization
	i-vector Score Calibration
	Speaker Recognition Using x-vectors
	Speaker Diarization Using x-vectors
	Train Spoken Digit Recognition Network Using Out-of-Memory Features
	Train Spoken Digit Recognition Network Using Out-of-Memory Audio Data
	Keyword Spotting in Noise Code Generation with Intel MKL-DNN
	Keyword Spotting in Noise Code Generation on Raspberry Pi
	Dereverberate Speech Using Deep Learning Networks
	Speaker Identification Using Custom SincNet Layer and Deep Learning
	Acoustics-Based Machine Fault Recognition
	Acoustics-Based Machine Fault Recognition Code Generation with Intel MKL-DNN
	Acoustics-Based Machine Fault Recognition Code Generation on Raspberry Pi
	audioDatastore Object Pointing to Audio Files
	Accelerate Audio Deep Learning Using GPU-Based Feature Extraction
	Train 3-D Sound Event Localization and Detection (SELD) Using Deep Learning
	3-D Sound Event Localization and Detection Using Trained Recurrent Convolutional Neural Network
	Import Audacity Labels to Signal Labeler
	Room Impulse Response Simulation with the Image-Source Method and HRTF Interpolation
	Room Impulse Response Simulation with Stochastic Ray Tracing
	Feature Selection for Audio Classification
	Transfer Learning with Pretrained Audio Networks in Deep Network Designer
	Speech Command Recognition Code Generation with Intel MKL-DNN Using Simulink
	Loudspeaker Modeling with Simscape™
	Investigate Audio Classifications Using Deep Learning Interpretability Techniques
	Speech Command Recognition on Raspberry Pi Using Simulink
	Speech Command Recognition Using Deep Learning
	Keyword Spotting in Simulink
	Audio Transfer Learning Using Experiment Manager
	Model Smart Speaker in Simulink
	Train 3-D Speech Enhancement Network Using Deep Learning
	3-D Speech Enhancement Using Trained Filter and Sum Network
	Automated Design of Audio Filters for Room Equalization
	Audio-Based Anomaly Detection for Machine Health Monitoring
	Use Datastores to Manage Audio Data Sets
	Read, Analyze and Process SOFA Files
	Impulse Response Measurement Using a NI USB-4431 Device
	Plot Large Audio Files
	Audio Event Classification Using TensorFlow Lite on Raspberry Pi
	Deploy Smart Speaker System on Raspberry Pi Using Simulink
Plugin GUI Design
	Design User Interface for Audio Plugin
Use the Audio Labeler
	Label Audio Using Audio Labeler
		Load Unlabeled Data
		Define and Assign Labels
		Export Label Definitions
		Export Labeled Audio Data
		Prepare Audio Datastore for Deep Learning Workflow
	Choose an App to Label Ground Truth Data
Speech2Text and Text2Speech Chapter
	Speech-to-Text Transcription
	Text-to-Speech Conversion
Measure Impulse Response of an Audio System
	Measure and Manage Impulse Responses
		Configure Audio I/O System
		Configure IR Acquisition Method
		Acquire IR Measurements
		Analyze and Manage IR Measurements
		Export IR Measurements
		Generate MATLAB Code
Design and Play a MIDI Synthesizer
	Design and Play a MIDI Synthesizer
		Convert MIDI Note Messages to Sound Waves
		Synthesize MIDI Messages
		Synthesize Real-Time Note Messages from MIDI Device
MIDI Device Interface
	MIDI Device Interface
		MIDI
		MIDI Devices
		MIDI Messages
Dynamic Range Control
	Dynamic Range Control
		Linear to dB Conversion
		Gain Computer
		Gain Smoothing
		Make-Up Gain
		dB to Linear Conversion
		Apply Calculated Gain
		Example: Dynamic Range Limiter
MIDI Control for Audio Plugins
	MIDI Control for Audio Plugins
		MIDI and Plugins
		Use MIDI with MATLAB Plugins
MIDI Control Surface Interface
	MIDI Control Surface Interface
		About MIDI
		MIDI Control Surfaces
		Use MIDI Control Surfaces with MATLAB and Simulink
Use the Audio Test Bench
	Develop, Analyze, and Debug Plugins In Audio Test Bench
		Choose Objects Under Test
		Run Audio Test Bench
		Debug Source Code of Audio Plugin
		Open Scopes
		Configure Input to Audio Test Bench
		Configure Output from Audio Test Bench
		Call Custom Visualization of Audio Plugin
		Synchronize Plugin Property with MIDI Control
		Play the Audio and Save the Output File
		Validate and Generate Audio Plugin
		Generate MATLAB Script
Audio Plugin Example Gallery
	Audio Plugin Example Gallery
		Audio Effects
		Filters
		Gain Control
		Spatial Audio
		Communicate Between MATLAB and DAW
		Music Information Retrieval
		Speech Processing
		Deep Learning
		Audio Plugin Examples
Equalization
	Equalization
		Equalization Design Using Audio Toolbox
		EQ Filter Design
		Lowpass and Highpass Filter Design
		Shelving Filter Design
Deployment
	Desktop Real-Time Audio Acceleration with MATLAB Coder
	What is C Code Generation from MATLAB?
		Using MATLAB Coder
		C/C++ Compiler Setup
		Functions and System Objects That Support Code Generation
Audio I/O User Guide
	Run Audio I/O Features Outside MATLAB and Simulink
Block Example Repository
	Decrease Underrun
Block Example Repository
	Extract Cepstral Coefficients
	Tune Center Frequency Using Input Port
	Gate Audio Signal Using VAD
	Frequency-Domain Voice Activity Detection
	Visualize Noise Power
	Detect Presence of Speech
	Perform Graphic Equalization
	Split-Band De-Essing
	Diminish Plosives from Speech
	Suppress Loud Sounds
	Attenuate Low-Level Noise
	Suppress Volume of Loud Sounds
	Gate Background Noise
	Output Values from MIDI Control Surface
	Apply Frequency Weighting
	Compare Loudness Before and After Audio Processing
	Two-Band Crossover Filtering for a Stereo Speaker System
	Mimic Acoustic Environments
	Perform Parametric Equalization
	Perform Octave Filtering
	Read from Microphone and Write to Speaker
	Channel Mapping
	Trigger Gain Control Based on Loudness Measurement
	Generate Variable-Frequency Tones in Simulink
	Trigger Reverberation Parameters
	Model Engine Noise
	Use Octave Filter Bank to Create Flanging Chorus Effect for Guitar Layers (Overdubs)
	Decompose Signal using Gammatone Filter Bank Block
	Visualize Filter Response of Multiband Parametric Equalizer Block
	Detect Music in Simulink Using YAMNet
	Compare Sound Classifier block with Equivalent YAMNet blocks
	Detect Air Compressor Sounds in Simulink Using YAMNet
	Design Auditory Filter Bank
	Design Mel Filter Bank
	Extract Auditory Spectrogram
	Extract Mel Spectrogram
	Filter Audio Using Shelving Filter Block
	Compare VGGish Embeddings Block with Equivalent VGGish Blocks
	Extract GTCC from Audio in Simulink
	Include an Audio Plugin in Simulink
		Generate Block from Plugin
		Use Generated Audio Plugin Block in Model
	Use VGGish Embeddings for Deep Learning in Simulink
Real-Time Parameter Tuning
	Real-Time Parameter Tuning
		Programmatic Parameter Tuning
Tips and Tricks for Plugin Authoring
	Tips and Tricks for Plugin Authoring
		Avoid Disrupting the Event Queue in MATLAB
		Separate Code for Features Not Supported for Plugin Generation
		Implement Reset Correctly
		Implement Plugin Composition Correctly
		Address "A set method for a non-Dependent property should not access another property" Warning in Plugin
		Use System Object That Does Not Support Variable-Size Signals
		Using Enumeration Parameter Mapping
Spectral Descriptors Chapter
	Spectral Descriptors




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