GitHub - dechamoungsri/Prosody_modeling: A workspace of prosody modeling for classification. Various machine learning techniques have been incorporated for stress and tone classification such as DNN, SVM, DBSCAN, k-means, PCA, and GP-LVM

dechamoungsri / Prosody_modeling Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

A workspace of prosody modeling for classification. Various machine learning techniques have been incorporated for stress and tone classification such as DNN, SVM, DBSCAN, k-means, PCA, and GP-LVM

1 star 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
00_make_database		00_make_database
01_GPLVM_Training		01_GPLVM_Training
02_result_analysis		02_result_analysis
03_clustering		03_clustering
04_accuracy_measurement		04_accuracy_measurement
05_raw_data_accuracy		05_raw_data_accuracy
06_cal_result		06_cal_result
07_plot_with_text		07_plot_with_text
08_selected_result		08_selected_result
09_make_database_with_adding_stress		09_make_database_with_adding_stress
10_modify_speech_synthesis_configulation		10_modify_speech_synthesis_configulation
11_Gen_unsupervesized_stress_labeling		11_Gen_unsupervesized_stress_labeling
12_plot_j_set		12_plot_j_set
13_get_last_syl_of_mul_noun		13_get_last_syl_of_mul_noun
14_plot_data_with_potent_list		14_plot_data_with_potent_list
15_Test_Hcopy		15_Test_Hcopy
16_gen_data_for_HMM		16_gen_data_for_HMM
17_plot_average_tone_curve		17_plot_average_tone_curve
18_one_class_svm		18_one_class_svm
19_svm		19_svm
20_GMM		20_GMM
21_test_kernel		21_test_kernel
22_Get_the_result		22_Get_the_result
23_gen_label_2_level_from_raw_data		23_gen_label_2_level_from_raw_data
24_cal_for_presentation		24_cal_for_presentation
25_label_3_level_stress_for_development_set		25_label_3_level_stress_for_development_set
26_plot_data_for_new_development_set		26_plot_data_for_new_development_set
GPy-devel		GPy-devel
Syllable		Syllable
change_list		change_list
library		library
mono_duration_to_full_duration		mono_duration_to_full_duration
paramz-master		paramz-master
test_latex		test_latex
._.DS_Store		._.DS_Store
._GPy-devel		._GPy-devel
._paramz-master		._paramz-master
._playground.py		._playground.py
playground.py		playground.py

About

A workspace of prosody modeling for classification. Various machine learning techniques have been incorporated for stress and tone classification such as DNN, SVM, DBSCAN, k-means, PCA, and GP-LVM

Activity

1 star

2 watching

0 forks

Report repository