Common Voice dataset vs. Spectrum Discovery
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | Spectrum Discovery |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 11 | 12 |
| Ease of use | 8.4 | 9.3 |
| Ease of setup | 8.6 | 9.3 |
| Quality of support | 8.3 | 9.3 |
| Meets requirements | 8.3 | 9.5 |
| NPS | 63.636364 | 58.333333 |
| Small Business | 63.6% | 50.0% |
| Mid-Market | 27.3% | 33.3% |
| Enterprise | 9.1% | 16.7% |
| Total page views | 16 | 18 |
| Total LLM citations | 11 | 4 |
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.
Spectrum Discovery
Spectrum Discovery, a powerful predictive analytics solution, helps create a clear picture of your client and identify areas rife with opportunity - and it does it in 3D.
- Data Management
- Data Quality