English Speech Quality Review
We’re thrilled to roll out a new feature on the DataHive AI platform: English Speech Quality Review. This audio labeling task is built to support the development of more accurate and high-quality voice AI datasets.
In this mission, you’ll listen to brief audio recordings of individuals reading English sentences and evaluate how well they are delivered. Each clip takes less than a minute to assess, making the task both efficient and engaging.
What’s the purpose?
The aim is to determine which recordings are clear, correct, and suitable for training modern voice technologies. Your evaluations contribute directly to improving speech datasets used by AI systems across the globe.
How the Audio Labeling process works:
- Listen to the entire recording at least once before submitting your response—no skipping.
- Answer all three questions for each clip. Focus on accuracy rather than speed.
- Carefully match the audio with the reference sentence provided on screen. Base your judgment on what is actually spoken.
- If the recording is too unclear to assess, choose “Can’t tell” instead of making a guess.
- Don’t overlook low-quality recordings—they also require proper evaluation.
Why your contribution matters
Every review you complete helps refine and enhance large-scale speech datasets, leading to better voice assistants, transcription tools, and next-generation AI voice systems.
Launch the mission, grab your headphones, and begin reviewing—each clip you evaluate makes a real impact.
