![]() You can prototype audio processing algorithms in real time or run custom acoustic measurements by streaming low-latency audio to and from sound cards. The pre-trained models provided can be applied to audio recordings for high-level semantic analysis. ![]() 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 toolbox provides streaming interfaces to ASIO, CoreAudio, and other sound cards MIDI devices and tools for generating and hosting VST and Audio Units plugins. Toolbox apps support live algorithm testing, impulse response measurement, and signal labeling. It also provides advanced machine learning models, including i-vectors, and pretrained deep learning networks, including VGGish and CREPE. ![]() 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. Audio Toolbox™ provides tools for audio processing, speech analysis, and acoustic measurement. ![]()
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