Site: :
Dataset name: English
Username: <your username>
Password: <your password>
Instructions:
-
Accessing the Tool:
- Open the provided URL in your web browser.
- Navigate to the "Intro Annotator" page.
- Login using the provided username and password.
-
Dataset Selection:
- After logging in, go to the QA page.
- On the sidebar, select the dataset that you have been assigned to.
-
Annotation Process:
- The samples for annotation will be presented to you in a specific order.
- Start with the sample having the highest Word Error Rate (WER).
- For each sample, follow the steps below:
a. Listening to the Audio:
- Click on the play button to listen to the audio recording.
b. Selecting the Transcription:
- Choose the transcription that best matches the audio.
- Ensure that the transcription accurately represents the content of the audio.
- If necessary, you can make post-editing changes to the selected transcription.
c. Discarding Poor Quality Audio:
- If the audio is not of good quality, it should be discarded.
- Select one or more reasons for discarding from the following options:
- Repetition: The audio contains repeated sentences.
- Incorrect Accent: The accent in the audio is not appropriate.
- Incorrect Pronunciation: The audio has incorrect pronunciations or includes "hmm" sounds.
- Poor Recording Quality: The audio has background noises, lips sounds, or is of low quality.
- Incorrect Pauses: The pauses in the audio are not appropriately placed.
- Incorrect Speed: The audio is either too fast or too slow.
- Inconsistent Voice: The voice level in the audio is inconsistent and does not feel natural.
d. Providing Feedback (Optional):
- If you discard an audio sample, you can provide additional feedback regarding the reason for discarding.
e. Submitting the Annotation:
- Once you have selected the best transcription or discarded the audio, click on the "Submit" button to save your annotation.
Note: Please ensure that you follow these guidelines while using the QA Tool for checking recordings used in TTS model training.