├── code ├── extract_feature │ ├── extract_34.py │ ├── extract_34.py~ │ ├── extract_34_hfs.py │ ├── helper.py │ ├── mocap_data_collect.py │ └── save_egemaps_10039-pc.py ├── plot │ └── surface_plot_mtl2.py ├── readme.md ├── speech-text │ ├── __pycache__ │ │ └── calc_scores.cpython-36.pyc │ ├── bak │ │ ├── lstm_lstm_batch8.py │ │ ├── lstm_lstm_do.py │ │ ├── lstm_lstm_do3.py │ │ ├── lstm_lstm_dropout.py │ │ ├── lstm_lstm_optim3.py │ │ ├── lstm_lstm_optimized2_batch8.py │ │ ├── lstm_lstm_scaled_false.py │ │ ├── weight_optim_ter.csv.bak │ │ └── weight_optim_ter.csv.bak2 │ ├── calc_scores.py │ ├── cnn_cnn.py │ ├── cnn_cnn.py~ │ ├── cnn_dense.py │ ├── cnn_dense.py~ │ ├── cnn_lstm.py │ ├── cnn_lstm.py~ │ ├── dense_cnn.py │ ├── dense_cnn.py~ │ ├── dense_lstm.py │ ├── dense_lstm.py~ │ ├── hfs34_glove_mlp.py~ │ ├── hfs34_mlp.py~ │ ├── lstm_cnn.py │ ├── lstm_cnn.py~ │ ├── lstm_dense.py │ ├── lstm_dense.py~ │ ├── lstm_lstm mlp.py~ │ ├── lstm_lstm.py │ ├── lstm_lstm.py~ │ ├── lstm_lstm2.py~ │ ├── lstm_lstm3.py~ │ ├── lstm_lstm_batch8.py~ │ ├── lstm_lstm_do.py~ │ ├── lstm_lstm_do3.py~ │ ├── lstm_lstm_do_ser.py │ ├── lstm_lstm_do_ter.py │ ├── lstm_lstm_do_ter.py~ │ ├── lstm_lstm_dropout.py~ │ ├── lstm_lstm_optim.py~ │ ├── lstm_lstm_optim1.py~ │ ├── lstm_lstm_optim2.py │ ├── lstm_lstm_optim3.py~ │ ├── lstm_lstm_optim_alpha.py │ ├── lstm_lstm_optim_beta.py │ ├── lstm_lstm_optim_beta.py~ │ ├── lstm_lstm_optim_gamma.py │ ├── lstm_lstm_optim_gamma.py~ │ ├── lstm_lstm_optimized1.py │ ├── lstm_lstm_optimized1.py~ │ ├── lstm_lstm_optimized2.py │ ├── lstm_lstm_optimized2.py~ │ ├── lstm_lstm_optimized2_batch_8.py~ │ ├── lstm_lstm_optimized3.py │ ├── lstm_lstm_optimized3.py~ │ ├── lstm_lstm_scaled_false.py~ │ ├── readme │ └── readme.md~ ├── speech │ ├── __pycache__ │ │ └── calc_scores.cpython-36.pyc │ ├── calc_scores.py │ ├── ser_34_hfs_cnn.py │ ├── ser_34_hfs_cnn.py~ │ ├── ser_34_hfs_lstm.py │ ├── ser_34_hfs_lstm.py~ │ ├── ser_34_hfs_lstm_mlp.py │ ├── ser_34_hfs_lstm_mlp.py~ │ ├── ser_34_lld_cnn.py │ ├── ser_34_lld_lstm.py │ ├── ser_34_lld_lstm.py~ │ ├── ser_gemaps_hfs_cnn.py │ ├── ser_gemaps_hfs_lstm.py │ ├── ser_gemaps_lld_cnn.py │ ├── ser_gemaps_lld_cnn.py~ │ ├── ser_gemaps_lld_lstm.py │ └── ser_iemocap_hfs34_mlp.py~ └── text │ ├── ter_fastext_cnn.py │ ├── ter_fastext_cnn.py~ │ ├── ter_fastext_lstm.py │ ├── ter_fastext_lstm.py~ │ ├── ter_glove_cnn.py │ ├── ter_glove_cnn.py~ │ ├── ter_glove_lstm.py │ ├── ter_glove_lstm.py~ │ ├── ter_we_cnn.py │ ├── ter_we_cnn.py~ │ ├── ter_we_lstm.py │ └── ter_we_lstm.py~ ├── data ├── feat_34_hfs.npy ├── optim_alpha.csv ├── optim_beta.csv ├── optim_gamma.csv ├── readme.md ├── weight_optim_2.csv ├── weight_optim_ser.csv ├── weight_optim_ter.csv └── y_egemaps.npy ├── fig ├── alpha_beta.pdf ├── alpha_beta_gamma.pdf ├── atsit_lstm_cnn.pdf ├── atsit_lstmcnn.pdf ├── atsit_lstmcnn2.pdf ├── atsit_lstmcnn_old.pdf ├── atsit_system.odg ├── atsit_system.pdf ├── atsit_system.png ├── block_diagram.odg ├── block_diagram.pdf ├── dropout.pdf 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-------------------------------------------------------------------------------- 1 | ### directory for figures used in the paper -------------------------------------------------------------------------------- /latex/Atmaja, Akagi - 2020 - Dimensional speech emotion recognition from speech features and word embeddings by using multitask learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bagustris/dimensional-ser/HEAD/latex/Atmaja, Akagi - 2020 - Dimensional speech emotion recognition from speech features and word embeddings by using multitask learning.pdf -------------------------------------------------------------------------------- /latex/readme: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /readme.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bagustris/dimensional-ser/HEAD/readme.md -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | keras==2.3.0 2 | tensorflow==1.15.5 3 | numpy 4 | matplotlib 5 | pandas 6 | --------------------------------------------------------------------------------