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ICMI2023_FTD_analysis

This is program repository for "Computational analyses of linguistic features with schizophrenic and autistic traits along with formal thought disorders" from ICMI2023.

Prerequisite

  • Anaconda
  • Python3.7

Please construct the environment using env/py37_FTD.yaml file. For example, run the following command:

  1. conda create -f=py37_FTD.yaml
  2. conda activate py37_FTD

Step0: dataset download

The dataset is only available for academic research purpose. Please submit the following application form to get access.

[Dataset application URL]https://forms.gle/psGLK6VhhzhXJYxLA

Once you get the dataset, place the dataset in "dataset" directory as follows:

- dataset
--- data_audio
--- data_audio_separated180
--- data_label
--- data_transcript
--- data_transcript_separated180

Step1: data preparation

Run program from number 10 to 14 one-by-one.

Step2: correlation calculation

20: run correlation calculation program in 30, 60, 180 seconds

21: run correlation calculation program separated in each 60 seconds

Step3: ablation study

30: create feature-set for ablation study

31: run ablation study with data in 30, 60, 180 seconds

32: run ablation study with data separated in each 60 seconds

If you find this repository is helpful, please cite the following paper.

Takeshi Saga, Hiroki Tanaka, Satoshi Nakamura, "Computational analyses of linguistic features with schizophrenic and autistic traits along with formal thought disorders", ICMI2023

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