Common Voice dataset vs. Shaip Cloud
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | Shaip Cloud |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 11 | 22 |
| Ease of use | 8.4 | 8.6 |
| Ease of setup | 8.6 | 8.6 |
| Quality of support | 8.3 | 8.2 |
| Meets requirements | 8.3 | 9.1 |
| NPS | 63.636364 | 57.142857 |
| Small Business | 63.6% | 36.4% |
| Mid-Market | 27.3% | 22.7% |
| Enterprise | 9.1% | 40.9% |
| Total page views | 16 | 144 |
| Total LLM citations | 11 | 159 |
Common Voice dataset
Each entry in the dataset consists of a unique MP3 and corresponding text file. Many of the 1,368 recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help train the accuracy of speech recognition engines. The dataset currently consists of 1,087 validated hours in 18 languages, but we're always adding more voices and languages.
Shaip Cloud
Shaip Data is a modern platform designed to gather high-quality, ethical data for training AI models. It has three main parts: Shaip Manage, Shaip Work, and Shaip Intelligence. The platform makes workflows easier, reduces issues with a global team, and offers better visibility and real-time quality checks. Shaip Data helps quickly collect, process, and label large amounts of data (text, audio, images, and video) to train and improve AI and ML models.