2. Clipping process (Research Assistants)
Introduction to clipping audios, file naming and usual order of administration
This section provides guidance for Research Assistants on clipping Connected Speech task audios, including file naming and the standard order of task administration. The same task and clipping order applies across all languages unless otherwise noted by the clinician in the last comment column of the Smartsheet.
Before April 2024 and participant BISE013 all participants were video clipped. Now we only clip audios and in specific cases we clip videos, please refer to video clipping guide: https://cloud.wikis.utexas.edu/wiki/spaces/MADRWiki/pages/108200558
To clip m4a zoom files, please download the FFmpeg before clipping a m4a file audio so it works, Download the correct FFmpeg version for your system: Audacity FFmpeg installer page: https://support.audacityteam.org/basics/installing-ffmpeg After installing, restart Audacity.
Clipping and reclipping should always be completed in the lab. If you must work remotely, it’s essential to follow these steps since we are handling patient data:
Connect through the UT VPN
Work in a private, secure location
Use headphones to protect audio confidentiality
Delete all audios and videos from the computers and Trash before finishing your shift
The usual task orders are organized by their sets. Use the linked documents from the REDCap to see clinician prompts for each set.
Set 1 + 3
Set 2 + 3
Mid-treatment (Clinical Trial/Therapy only)
EB1/EB2 (Non-R01 participants only)
Important:
Per Decision 20241003, always prioritize clipping Pre, Post, and Follow-up sessions. Mid-treatment sessions should be clipped only if specified for a research need or if all other samples are clipped. This structure ensures consistency, clarity, and efficient data handling across all projects.
Clipping process (important! read before starting to clip)
Wear headphones when clipping audios (e.g. Bluetooth headphones, wired headphones)
Start clipping exactly when the participant begins speaking.
Stop immediately after the participant finishes.
Do not include extra silence before or after, as this affects acoustic measures (e.g., words per minute, pause duration).
Examples of comments to omit at beginning and end:
this is hard./esto es difícil/això es dificil
that's all I remember./esto es todo lo que recuerdo/això es tot el que recordo
Done./hecho/fet
that’s all, all done/ ya esta/ja esta
Samples have to have at least two utterances (sentences) if there’s less, clinician will ask (quieres añadir algo más? vols afegir alguna cosa més?)
Check the “Latest Comment” section for clinician notes on which sample to use (often the second).
Tag the primary and secondary clinician in the channel. Their names can be found in the Smartsheet.
Instruction added to the guide 20250911
If clinician speech appears in the sample:
Identify Clinician Speech
Listen carefully for the section where the clinician begins speaking.
Clip Out Clinician Section
Start clipping at the moment the clinician begins speaking.
Stop clipping immediately when the clinician finishes speaking.
Remove this section from the participant’s speech sample.
Check for Smoothness
Play back the edited file to ensure the cut flows naturally, without long silences or abrupt cuts.
Clip out the clinician’s speech as much as possible.
If the participant and clinician speak simultaneously, keep that portion in the sample.
Record this occurrence in the corresponding row of the sample in Smartsheets
If background noise occurs when participant is speaking, clip out as much as possible without affecting participant’s speech
For each audio sample, fill out the field “TaskName_Background noise.” Use the following definitions:
Definitions
Compression: Distortion caused by recording or transmission issues (e.g., rushed/zoomed audio, choppiness, or Wi-Fi glitches).
Buzzing: A steady, continuous background hum or buzz throughout the sample. (e.g., fan noise)
Background noise: Environmental sounds unrelated to the task (e.g., dog barking, people talking, door slamming, microphone tap).
NOTE: If a patient’s breathing affects their intelligibility, this would also be considered as background noise
Clip it out if possible! Previously clippers where instructed to clip it out when possible
If you notice that there is a background noise please describe it as a comment in the participant row stating in which task it's found example: “Picnic Scene Task-There is clinician speech in the beginning of the sample before the patient begins to speak, and a squeaking noise while the patient is speaking.”
If you notice a sample missing in Box, refer to the SmartSheet to see who clipped the audio
Tag the student clipper and student lead in the Clipping/Whisper channel on Teams asking them about the audio’s whereabouts
If an audio sounds like it needs to be reclipped, please send a message in the Clipping/Whisper Channel on Teams: making sure to link the sample, tag the clipping student team lead, and describe your concerns with the audio!
Usual order of task administration and clipping
See here to see which tasks are administered in which timepoint 0. Stimuli and task administration (Clinicians)
Use clipping reports! Clipping reports
SET | TASK FOLDER | AUDIO NAME (CODE001_BACC001_Taskname_language (Spa, Cat, Eng)_Timepoint_date) |
1 |
| CODE001_BACC001_CatRescue_Spa_Pre_20230914.wav |
3 |
| CODE001_BACC001_ImportantEvent_Spa_Pre_20230914.wav |
1 |
| CODE001_BACC001_Sunday_Spa_Pre_20230914.wav |
3 |
| CODE001_BACC001_Teeth_Spa_Pre_20230914.wav |
1 |
| CODE001_BACC001_CatRescueRecall_Spa_Pre_20230914.wav |
1 |
| CODE001_BACC001_MAINDog_Spa_Pre_20230914.wav |
1 |
| CODE001_BACC001_FrogWhere_Spa_Pre_20230914.wav |
3 |
| CODE001_BACC001_PicnicScene_Spa_Pre_20230914.wav |
1 |
Task administration prompts: "Ahora le voy a mostrar un vídeo en el que salen unos personajes. Por favor, mire el vídeo con atención, cuando acabe de verlo le haré unas preguntas sobre lo que ha visto." Cuando el paciente termine de explicar el video hagale las siguientes preguntas:
| CODE001_BACC001_ Bridge_Spa_Pre_20230914.wav After 20250929 we decide to stop clipping these task in 9 audios until we have a more concrete decision on linguistic-acoustic analysis and also to control for previous variability in administration that made the clipping a complex process (see issues described in https://cloud.wikis.utexas.edu/wiki/x/8IO9H and administration variability described here https://cloud.wikis.utexas.edu/wiki/x/UgVjF previously audios were named: CODE001_BACC001_ Bridge_Spa_1_Pre_20230914.wav CODE001_BACC001_ Bridge_Spa_2_Pre_20230914.wav CODE001_BACC001_ Bridge_Spa_3_Pre_20230914.wav CODE001_BACC001_ Bridge_Spa_4_Pre_20230914.wav CODE001_BACC001_ Bridge_Spa_5_Pre_20230914.wav CODE001_BACC001_ Bridge_Spa_6_Pre_20230914.wav CODE001_BACC001_ Bridge_Spa_7_Pre_20230914.wav CODE001_BACC001_ Bridge_Spa_8_Pre_20230914.wav CODE001_BACC001_ Bridge_Spa_9_Pre_20230914.wav Now we only want 1 clipped audio with the entire task “CODE001_BACC001_ Bridge_Spa_Pre_20230914.wav” including clinican speech asking the question. Clip from the first question until the last production of the participant. |
Guide on how to clip audios
Clipping audios 1. How to clip audios with audacity_2023120 |
Steps | Process | To Do | |
1 | Look for the assigned Patient | Access the Clipping reports enter to each report to see which samples are remaining to clip. Those reports are a summarized version of the main Connected Speech Smartsheets and the data comunicates automatically (if you fill the reports out the data will appear in the main smartsheets) 20251023 note: filter removed from the reports for acoustic check task, Arely please add again once task is complete Spanish CS Speech Data Analysis,Catalan CS Speech Data Analysis, or English CS Speech Data Analysis Smartsheet
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1.1 | Access the Transcription Folder that Corresponds with the Patient's Enrollment in the Study |
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1.2 | Download the audio file (or files) |
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2 | Open Audacity | Open Audacity Version 3.4.2 *If audacity is showing an error page when trying to import audio files, follow the instructions using the following link to install the FFmpeg plug-in: https://support.audacityteam.org/basics/installing-ffmpeg | |
2.1 | Open the patient audio file |
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3 | Clipping audio files in Audacity: |
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3.1 | Name the task | 1. Use the Naming Convention associated with the task and enter it into the purple box: | |