Common Voice dataset vs. SelectZero
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | SelectZero |
|---|---|---|
| Overall rating | 4.5 | 4.7 |
| Review count | 11 | 14 |
| Ease of use | 8.4 | 9.7 |
| Ease of setup | 8.6 | 9.5 |
| Quality of support | 8.3 | 9.8 |
| Meets requirements | 8.3 | 9.0 |
| NPS | 63.636364 | 85.714286 |
| Small Business | 63.6% | 14.3% |
| Mid-Market | 27.3% | 64.3% |
| Enterprise | 9.1% | 21.4% |
| Total page views | 16 | 43 |
| Total LLM citations | 11 | 54 |
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.
SelectZero
SelectZero is a data observability platform that validates, monitors and documents data across every system in your stack, so problems surface before they reach a report, a regulator, a customer or an AI model. Engineers, analysts and data stewards work in the same platform. Technical teams write SQL-based checks or start from prebuilt templates. Business users own the glossary, follow lineage and get alerted when something in their domain breaks. Failed checks become Jira tickets assigned to the team that produced the data.
- Customer Support
- Ease of Use
- Features
- User Experience
- Efficiency Improvement
- Customer Experience