Common Voice dataset vs. Zeenea
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | Zeenea |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 11 | 12 |
| Ease of use | 8.4 | 8.6 |
| Ease of setup | 8.6 | 8.8 |
| Quality of support | 8.3 | 8.9 |
| Meets requirements | 8.3 | 8.4 |
| NPS | 63.636364 | 58.333333 |
| Small Business | 63.6% | 25.0% |
| Mid-Market | 27.3% | 50.0% |
| Enterprise | 9.1% | 25.0% |
| Total page views | 16 | 68 |
| Total LLM citations | 11 | 62 |
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.
Zeenea
"Zeenea is the Data Discovery Platform built for everyone to find, trust, and unlock the value of enterprise data. The cloud platform features two modern user experiences: Zeenea Studio is the application designed for data experts to save time managing, documenting, and governing data with maximum automation; while Zeenea Explorer enables business users to gain productivity by finding the data assets they need across all enterprise information. Zeenea’s built-in scanners and APIs enable organizations to automatically collect, consolidate, and link metadata from their data ecosystem.