Audio Toolbox™ provides tools for audio processing, speech analysis, and acoustic measurement. It includes algorithms for audio signal processing (such as equalization and dynamic range control) and acoustic measurement (such as impulse response estimation, octave filtering, and perceptual weighting). It also provides algorithms for audio and speech feature extraction (such as MFCC and pitch) and audio signal transformation (such as gammatone filter bank and Mel-spaced spectrogram).
Toolbox apps support live algorithm testing, impulse response measurement, and audio signal labeling. The toolbox provides streaming interfaces to ASIO™, WASAPI, ALSA, and CoreAudio sound cards and MIDI devices, and tools for generating and hosting standard audio plugins such as VST and Audio Units.
With Audio Toolbox you can import, label, and augment audio data sets, as well as extract features and transform signals for machine learning and deep learning. You can prototype audio processing algorithms in real time by streaming low-latency audio while tuning parameters and visualizing signals. You can also validate your algorithm by turning it into an audio plugin to run in external host applications such as Digital Audio Workstations. Plugin hosting lets you use external audio plugins like regular objects to process MATLAB® arrays. Sound card connectivity enables you to run custom measurements on real-world audio signals and acoustic systems.
Learn the basics of Audio Toolbox
Record and play audio from devices, read and write audio files, generate waveforms
Audio processing tools, algorithm design and modularization, stream processing
Audio labeling, datastore, voice activity detection, MFCC, pitch, loudness
Acoustics, impulse responses, ambisonics, HRTF, SPL metering
Real-time prototyping and tuning, MIDI, audio test bench
Create, send, and receive MIDI messages
VST and AU generation, testing, validation, and hosting
Generate standalone applications for desktop computers, mobile devices, and embedded targets