|音频标注器||Define and visualize ground-truth labels|
|Create i-vector system|
|CREPE neural network|
|Preprocess audio for CREPE deep learning network|
|Postprocess output of CREPE deep learning network|
|Estimate pitch with deep learning neural network|
|OpenL3 neural network|
|Preprocess audio for OpenL3 feature extraction|
|Extract OpenL3 features|
|Datastore for collection of audio files|
|Augment audio data|
|Streamline audio feature extraction|
|Preprocess audio for VGGish feature extraction|
|Extract VGGish features|
|VGGish neural network|
|YAMNet neural network|
|Preprocess audio for YAMNet classification|
|Graph of YAMNet AudioSet ontology|
|Classify sounds in audio signal|
Introduction to Deep Learning for Audio Applications (Audio Toolbox)
Learn common tools and workflows to apply deep learning to audio applications.
Classify Sound Using Deep Learning (Audio Toolbox)
Train, validate, and test a simple long short-term memory (LSTM) to classify sounds.
Transfer Learning with Pretrained Audio Networks (Audio Toolbox)
Use transfer learning to retrain YAMNet, a pretrained convolutional neural network (CNN), to classify a new set of audio signals.
Perform speech recognition using a custom deep learning layer that implements a mel-scale filter bank.
Dereverberate Speech Using Deep Learning Networks (Audio Toolbox)
Train a deep learning model that removes reverberation from speech.
Speech Command Recognition in Simulink (Audio Toolbox)
Detect the presence of speech commands in audio using a Simulink® model.