Common Voice dataset vs. Talend Data Catalog
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | Talend Data Catalog |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 11 | 12 |
| Ease of use | 8.4 | 8.3 |
| Ease of setup | 8.6 | 8.6 |
| Quality of support | 8.3 | 8.0 |
| Meets requirements | 8.3 | 8.3 |
| NPS | 63.636364 | 50 |
| Small Business | 63.6% | 25.0% |
| Mid-Market | 27.3% | 41.7% |
| Enterprise | 9.1% | 33.3% |
| Total page views | 16 | 81 |
| Total LLM citations | 11 | 102 |
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.
Talend Data Catalog
Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning, continually delivering the most meaningful data to the user.
- Ease of Use
- Simple
- Data Cataloging
- Intuitive
- Intuitive Use
- Data Discovery