Common Voice dataset vs. Oracle Enterprise Metadata Management
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | Oracle Enterprise Metadata Management |
|---|---|---|
| Overall rating | 4.5 | 3.7 |
| Review count | 11 | 16 |
| Ease of use | 8.4 | 6.2 |
| Ease of setup | 8.6 | 5.7 |
| Quality of support | 8.3 | 7.9 |
| Meets requirements | 8.3 | 7.1 |
| NPS | 63.636364 | 18.75 |
| Small Business | 63.6% | 37.5% |
| Mid-Market | 27.3% | 18.8% |
| Enterprise | 9.1% | 43.8% |
| Total page views | 16 | 71 |
| Total LLM citations | 11 | 32 |
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.
Oracle Enterprise Metadata Management
Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more.