Overview of the Reliability Transcription Process for Connected Speech Samples

To ensure the reliability of transcriptions for connected speech samples, the following structured process will be implemented:

  1. Randomized Sample Selection:
    A subset equivalent to 10% of the total transcription samples will be randomly selected for reliability testing. This selection will be project-specific (for example DrSantos_Spa_WABs_FTLD_2024, Kesha_nfvPPA_lvPPA_2024)

  2. Initial Comparison for Reliability:
    The selected samples will be assessed for transcription accuracy using the CLAN software and using Rely (How to use RELY on CLAN). Two key metrics will be evaluated:

  3. Discrepancy Resolution:
    If 100% agreement is not achieved:

  4. Finalization of Reliable Transcriptions:
    Following the consensus meeting:

  5. Documentation of Process:
    All reliability calculations and consensus resolutions will be documented in the Connected Speech Reliability Smartsheet Reports for project records, contributing to transparency and repeatability in the transcription process.

Overview of the reliability folder structure in Box:

1. Reliability procedures for transcriber 1:

  1. Copy the original transcript from its folder to this folder: 3. Picnic Scene_Rely (transcriber 1)

  2. Edit the title of the transcript by adding Coded_Rely AND your initials (e.g. SMK): CODE001_BACC001_CatRescue_Spa_Pre_20230914_Coded_Rely_SMK.cha​

2. Reliability procedures for transcriber 2:

  1. Locate the audio files in the folder/link to the audio files: 1. S3_PicnicScene_Picture Description_Audios_Reliability

  2. Locate the whisper output files in this folder: 2. PicnicScene_whisper_output_Reliability

  3. Create transcription (.cha) file by copying the template that exists within this folder: 4. Picnic Scene_Rely (transcriber 2)​

  4. Copy the whisper output CODE001_BACC001_PicnicScene_Spa_Pre_20230914.txt and paste it in the template (.cha)​

  5. Fill out some particular fields in the headers of the file (@) (language, participant code, etc.,)​

  6. Segment in utterances following the transcription protocol rules CHAT

  7. Code with the transcription protocol rules​

  8. Use CLAN to detect typos or spelling mistakes (command CHECK and command MOR)

  9. Save in 4. Picnic Scene_Rely (transcriber 2) and make sure naming is correct by adding Coded_Rely AND your initials (e.g. AQ): CODE001_BACC001_CatRescue_Spa_Pre_20230914_Coded_Rely_AQ.cha​

3. Running RELY (reference how to use RELY below)

  1. Run transcriber 1 and transcriber 2 samples through RELY

  2. Add RELY output to this folder: 5. Picnic Scene_Rely output

  3. Add score in Smartsheet CS Data Analysis in the 2 columns (report)

  4. If score is less than 100 let transcribers know – schedule meeting – consensus final transcription – update in original folder, add date of meeting in CS Data Analysis (example: https://app.smartsheet.com/reports/96Xjp4G54hwCXM3pVVHP5xcrvVFfPXgh9wq49g81)

File location:

/Users/skm3435/Library/CloudStorage/Box-Box/SLHS_Grasso/BCN Participants - Recordings and Materials/MADR_HSP R01/5. Data_Raw/B1--Connected Speech Reliability

How to use RELY on CLAN

RELY Function 4:

“The fourth function of the RELY command is to estimate the overall match between two transcripts on the main line. It is very difficult to define this type of comparison precisely. Instead, RELY uses a rough-and-ready "bag of words" comparison method that simply looks at the overall match of the main line items in the two versions. The command for this type of analysis adds the +d switch, and the output is the percentage of overall overlap.” (This is directly sourced from the CLAN manual: https://talkbank.org/manuals/CLAN.pdf)

This function provides two output calculations:

How to run this function:

Step 1:

Step 2:

Step 3: