音频

Anomaly Detection Using Convolutional Autoencoder with Wavelet Scattering Sequences

Detect anomalies in acoustic data using wavelet scattering and the deepSignalAnomalyDetector object.

Spoken Digit Recognition with Custom Log Spectrogram Layer and Deep Learning

Classify spoken digits using a deep convolutional neural network and a custom spectrogram layer.

Train Spoken Digit Recognition Network Using Out-of-Memory Features

Train a spoken digit recognition network on out-of-memory auditory spectrograms using a transformed datastore.

Label Spoken Words in Audio Signals

Use Signal Labeler to label spoken words in an audio signal.

使用深度学习网络对语音去噪

使用全连接和卷积神经网络对语音信号去噪。

Audio Device Test Stimuli

Exercise a nonlinear system with common audio device stimuli and compare the advantages and disadvantages of the different stimuli.

(Audio Toolbox)

Acoustic Scene Classification with Wavelet Scattering

Use wavelet scattering and joint time-frequency scattering with a support vector machine to classify urban environments by sound.

(Wavelet Toolbox)

Musical Instrument Classification with Joint Time-Frequency Scattering

Classify musical instruments using joint time-frequency features paired with a 3-D convolutional network.

(Wavelet Toolbox)

Acoustic Scene Recognition Using Late Fusion

Create a multi-model late fusion system for acoustic scene recognition.

(Wavelet Toolbox)

Wavelet Time Scattering Classification of Phonocardiogram Data

Classify human phonocardiogram recordings using wavelet time scattering and a support vector machine classifier.

(Wavelet Toolbox)