Aggregating recording information

How to gather LENA information from .its files and ELAN annotations

ITS metrics

1. Set your working directory to Fas-Phyc-PEB-Lab/VIHI/Scripts/LENA_Scripts.

2. Generate a current list of .its files

   1. Run list_its_files.R. This will generate a new list of all the .its files in Fas-Phyc-PEB-Lab/VIHI/SubjectFiles/LENA and place the list in LENA_Scripts/data.

3. Run getting_LENA_details_from_its.R. This script will take a long time to run. Eventually, this will generate VIHI_its_details.csv and place it in LENA_Scripts/data.

VIHI_its_details.csv

• its_path: file path to the .its file

• total_time_dur: length of the recording, in seconds

• CHF_dur: duration of target child far speech

• CHN_dur: duration of target child near speech

• CXF_dur: duration of other child far speech

• CXN_dur: duration of target child near speech

• FAF_dur: duration of female adult far speech

• FAN_dur: duration of female adult near speech

• MAF_dur: duration of male adult far speech

• MAN_dur: duration of male adult near speech

• NOF_dur

• NON_dur

• OLF_dur

• OLN_dur

• SIL_dur: duration of silence

• TVF_dur: duration of TV far noise

• TVN_dur: duration of TV near noise

• CHF_n

• CHN_n

• CXF_n

• CXN_n

• FAF_n

• FAN_n

• MAF_n

• MAN_n

• NOF_n

• NON_n

• OLF_n

• OLN_n

• SIL_n

• TVF_n

• TVN_n

• AWC: adult word count

• CVC: child vocalization count

• CTC: conversational turn count

• FAN_AWC: female adult near word count

• FAN_ns_dur

• FAN_utt_n: number of female adult near utterances

• FAN_utt_dur

• MAN_AWC: male adult near word count

• MAN_ns_dur

• MAN_utt_n

• MAN_utt_dur

• corpus

• CHN_segment_dur

• CHN_utt_dur

• CHN_cryvfx_dur

• CHN_cry_dur

• CHN_vfx_dur

• CHN_segment_n

• CHN_utt_n

• CHN_cry_n:

• CHN_vfx_n

• CHN_utt_segs_n

• CHN_cry_segs_n

• TV_dur: duration of TV noise

• adult_dur: duration of adult speech

• sub_id: participant's VIHI_ID

• group: participant group (VI, HI, or TD)

• match: for TD participants, the VIHI_ID of their VI or HI match. This column is NA for VI or HI participants

• match_type: for TD participants, which match group they belong to (VI_age, HI_age, HI_hearingage). This column is NA for VI or HI participants

Being appropriately skeptical about .its tags

Oller, 2011; file attached below.

9MB

LENA-Conference-2011-Kimbrough-Oller.pdf

PDF

Open

Exporting ELAN annotations

ATTENTION: We no longer export ELAN annotations like this. We now use a python script with blabpy functions to collect ALL current eaf files into one big csv and access them via blabr

See here for more details.

1. Open ELAN.

2. Navigate to File > Export Multiple Files As > Tab Delimited Text

3. Choose an existing domain, or create a new domain (make sure to include all files in SubjectFiles/LENA/VI, SubjectFiles/LENA/HI, and SubjectFiles/LENA/TD), and then press load. It may take a few moments for the next window to appear.

4. Make the following selections, then when prompted, select "UTF-8" encoding.

More information on these settings available at: https://www.mpi.nl/tools/elan/docs/manual/Sec_Exporting_a_document_as_a_tab_delimited_text_file.html

5. Save the file to Fas-Phyc-PEB-Lab/VIHI/SubjectFiles/LENA/annotations/all_lena.txt

6. Run ELAN_wrangle.R over the file all_lena.txt. This script is located in Fas-Phyc-PEB-Lab/VIHI/Scripts/LENA_Scripts. This script will output a .csv in Fas-Phyc-PEB-Lab/VIHI/SubjectFiles/LENA/annotations/VIHI_LENA_annotations[today's date].csv