Browser-Based Voice Data Collection Tool
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๐ก Tip: Browser spellcheck is enabled. Right-click on underlined words for suggestions.
Edit all texts at once. Each line becomes a separate text. Empty lines are removed.
Preview: 0 text(s)
Add newlines to split this text into multiple parts. Each line will become a separate recording.
Will be split into 1 part(s):
Recording #1
๐ต Audio
๐ก Edit the text if needed. Changes will be saved to your recording.
Choose how to load your texts (one text per line):
Upload a file, import from URL, or type your texts below. Use the "Auto-Split" button to separate sentences automatically.
โ Texts loaded successfully!
Source:
Lines available:
๐ก Large project detected! For projects over 250 sentences, we'll automatically offer to split it into multiple smaller projects for better storage management.
โจ๏ธ Keyboard Shortcuts:
Please read aloud:
Next up:
Preview your recording:
๐ Audio Waveform Analysis:
Red dashed lines indicate clipping thresholds
Click "Record" to capture these missing recordings.
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Total Recording Time
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No texts loaded yet.
Download completed recordings even if the project is not finished yet.
0 recording(s) available for download
Congratulations! You've completed all recordings.
Your voice corpus is ready for download. The package includes all audio recordings (WAV format, 48kHz mono) and their corresponding text transcriptions.
You can delete and re-record any sentence if needed.
๐ก Tip: If recording is too quiet, increase sensitivity. If clipping occurs, decrease sensitivity.
Click "Test Microphone" to check your audio levels
Auditur is a browser-based voice data collection tool that allows you to record audio for text sentences and export them as a structured dataset. Perfect for creating speech corpora, voice training data, or audiobook recordings.
๐ Privacy First: All processing happens locally in your browser. Your recordings and data remain on your device and are never uploaded unless you explicitly choose to export or share them.
Use these shortcuts during recording to work faster:
Auditur is developed by Samuel Frontull and
Simon Haller-Seeber.
Contact:
samuel.frontull [at] uibk.ac.at
ยท
simon.haller-seeber [at] uibk.ac.at
Built with modern web technologies to make voice data collection accessible and privacy-respecting.