Deep Learning-Based Classification of Spoken English Digits

Algorithm 2

The GradientBoosting Classification Model.

(1)	procedure GradientBoosting Classifier () (⊳) contains the STFT features of each audio sample, while contains the target audio class label
(2)	Read the dataset using the library “Librosa”
(3)	Extract STFT features from the audio.
(4)	One-hot encode the audio data to produce the class label.
(5)	Split the dataset into training and testing set with STFT features as the input and audio class as the target label.
(6)	Start the GradientBoosting model
(7)	Set up the hyperparameters tuning: n_estimators, learning_rate, max_features, max_depth, and random_state.
(8)	GradientBoostingClassifier (Hyperparameters)
(9)	Fitting training and the testing dataset
(10)	Evaluate the model
(11)	end procedure