Common Voice dataset vs. Datameer
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | Datameer |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 11 | 24 |
| Ease of use | 8.4 | 8.7 |
| Ease of setup | 8.6 | 7.5 |
| Quality of support | 8.3 | 8.1 |
| Meets requirements | 8.3 | 8.3 |
| NPS | 63.636364 | 37.5 |
| Small Business | 63.6% | 16.7% |
| Mid-Market | 27.3% | 20.8% |
| Enterprise | 9.1% | 62.5% |
| Total page views | 16 | 46 |
| Total LLM citations | 11 | 27 |
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.
Datameer
Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics.