Annotation Parameters
This document outlines the key parameters and aspects to be annotated within the voice notes dataset. Annotations are added progressively as part of the review process.
Audio Quality
- Clarity: How clear is the primary speaker's voice?
- Options: [Very Clear, Clear, Somewhat Muffled, Muffled, Very Muffled]
- Background Noise Level: The overall level of background noise.
- Options: [None, Low, Moderate, High, Very High]
- Noise Type: The type of background noise present.
- Options: [None, Music, Crowd, Traffic, Nature, White Noise, Other (Specify)]
- Reverberation: The level of echo or reverberation.
- Options: [None, Low, Moderate, High]
Speaker Characteristics
- Primary Speaker Dominance: How much of the audio is dominated by the primary speaker?
- Options: [>90%, 70-90%, 50-70%, 30-50%, <30%]
- Number of Speakers: An estimate of how many distinct speakers are present.
- Options: [1, 2, 3, 4, 5+]
- Speaker Overlap: How much do speakers talk over each other?
- Options: [None, Minimal, Moderate, Frequent]
Transcription Quality
- AI Transcript Accuracy (Overall): A general assessment of the Voicenotes.com STT accuracy for the entire note.
- Options: [Very High (>95%), High (90-95%), Moderate (80-90%), Low (70-80%), Very Low (<70%)]
- Specific Error Types: Check all that apply.
- Incorrect Words
- Missed Words/Phrases
- Added Words/Phrases
- Punctuation Errors
- Capitalization Errors
- Speaker Labeling Errors (if multiple speakers)
- Difficult Segments: Note timecodes of segments that are particularly difficult for STT.
Context & Content
- Primary Topic: The main subject of the voice note.
- (Free text or predefined list based on your notes)
- Language: The primary language of the audio.
- (E.g., English, Spanish, etc.)
- Technical Jargon: Is there specialized terminology?
- Options: [None, Low, Moderate, High]
Recording Details
- Recording Location: General location where the note was recorded.
- (Text field, default: Jerusalem)
- Recording Environment: Whether the recording was made indoors or outdoors.
- Options: [Indoor, Outdoor]
- Microphone Source: The general source of the microphone used.
- Options: [Phone Internal Mic, Bluetooth Mic, Desktop Mic]
- Microphone Type: The specific type of microphone used.
- Options: [Earpiece, Lavalier, Gooseneck, Desktop]
Content Type
- Voice Note Content Type: The primary purpose or type of content captured in the note. (Defined in
label_studio_config.xml)- Options:
- Blog Outline
- Email Draft
- Calendar Appointment
- Note To Self
- Reminder
- Task List
- Grocery List
- Shopping List (Other)
- Online Shopping
- Stack Research
- AI Prompt
- System Prompt
- Options:
Annotation State
- Corrected: Whether the AI transcript has been manually corrected.
- Options: [Yes, No, Partially]
- Annotator Notes: Any additional observations or comments.
Auto-Computed Fields
The following metrics will be automatically calculated and added to the dataset metadata:
- Run Time (of file): Duration of the audio file.
- Word Count (of transcript): Total number of words in the transcript.
- Character Count (of transcript): Total number of characters in the transcript.
- Word Error Rate (of original AI transcript): Calculated WER comparing the AI transcript to the corrected transcript.
- Estimated Speaker WPM: Estimated words per minute for the primary speaker.
- Speaker WPM Classification: Classification of speaker speed (1-5).
- Average dB Level: Average decibel level of the audio.
Related Datasets
This dataset is part of a broader STT fine-tuning project that will produce multiple related datasets:
- Voice Note Audio (this dataset): Public dataset on Hugging Face for real-world STT evaluation
- Basic STT Evaluation for Synthetic Voice Notes: Complementary dataset for controlled evaluation scenarios