Get Started with音频工具箱

音频工具箱™ provides tools for audio processing, speech analysis, and acoustic measurement. It includes algorithms for processing audio signals such as equalization and time stretching, estimating acoustic signal metrics such as loudness and sharpness, and extracting audio features such as MFCC and pitch. It also provides advanced machine learning models, including i-vectors, and pretrained deep learning networks, including VGGish and CREPE. Toolbox apps support live algorithm testing, impulse response measurement, and signal labeling. The toolbox provides streaming interfaces to ASIO™, CoreAudio, and other sound cards; MIDI devices; and tools for generating and hosting VST and Audio Units plugins.

With Audio Toolbox you can import, label, and augment audio data sets, as well as extract features to train machine learning and deep learning models. The pre-trained models provided can be applied to audio recordings for high-level semantic analysis.

您可以实时原型音频处理算法，或通过将低延迟音频传输到声卡来运行定制声学测量。您可以通过将其转换为音频插件来验证您的算法，以在外部主机应用程序（如数字音频工作站）中运行。插件托管允许您使用外部音频插件作为常规MATLAB^®对象。

Tutorials

• 音频输入和音频输出
  

  从文件读取音频并将音频写入扬声器。

• 流程和分析流式音频
  

  Create an audio test bench and apply real-time processing.

• Real-Time Audio in Simulink
  

  Create a model using the Simulink^®templates and blocks for audio processing.

• Classify Sound Using Deep Learning
  

  Train, validate, and test a simple long short-term memory (LSTM) to classify sounds.

• 用净化音频网络转移学习
  

  Use transfer learning to retrain YAMNet, a pretrained convolutional neural network (CNN), to classify a new set of audio signals.

• Design an Audio Plugin
  

  Create a simple audio plugin in MATLAB and then use it to generate a VST plugin.

About Audio Plugins

• 什么是daws，音频插件和midi控制器？
  

  了解数字音频工作站（DAWS），音频插件和乐器数字接口（MIDI）控制器在设计音频处理算法时的作用。

关于音频的深度学习和机器学习

• Introduction to Deep Learning for Audio Applications
  

  Learn common tools and workflows to apply deep learning to audio applications.

Featured Examples

Measure Audio Latency

测量的延迟n audio device. The example uses audioLatencyMeasurementExampleApp which in turn uses audioPlayerRecorder along with a test signal and cross correlation to determine latency. To avoid disk access interference, the test signal is loaded into a dsp.AsyncBuffer object first, and frames are streamed from that object through the audio device.

打开脚本

基于延迟的音频效果

Design and use three audio effects that are based on varying delay: echo, chorus and flanger. The example also shows how the algorithms, developed in MATLAB, can be easily ported to Simulink.

打开直播脚本

Sound Pressure Measurement of Octave Frequency Bands

Demonstrates how to measure sound pressure levels of octave frequency bands. A user interface (UI) enables you to experiment with various parameters while the measurement is displayed.

Open Example

视频

什么是音频工具箱？
Design and test audio processing systems with Audio Toolbox.

对音频和语音应用的深度学习介绍
Create or ingest datasets, extract features, and develop audio and speech analytics using Statistics and Machine Learning Toolbox™, Deep Learning Toolbox™, or other machine learning tools.