Common Voice dataset vs. Teleskope
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | Teleskope |
|---|---|---|
| Overall rating | 4.5 | 4.8 |
| Review count | 11 | 11 |
| Ease of use | 8.4 | 10.0 |
| Ease of setup | 8.6 | 9.5 |
| Quality of support | 8.3 | 10.0 |
| Meets requirements | 8.3 | 9.5 |
| NPS | 63.636364 | 90.909091 |
| Small Business | 63.6% | 30.0% |
| Mid-Market | 27.3% | 50.0% |
| Enterprise | 9.1% | 20.0% |
| Total page views | 16 | 219 |
| Total LLM citations | 11 | 126 |
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.
Teleskope
Teleskope is a data security platform (DSPM/DLP) that helps security teams discover, classify, and automatically remediate sensitive data exposure across cloud, SaaS, collaboration, database, and AI environments — without manual triage or external remediation tools or ticketing. Designed primarily for CISOs, security operations, and GRC teams at mid-market and enterprise organizations, Teleskope addresses a gap that exists across the data security category: most platforms identify where sensitive data lives but provide no native mechanism to act on what they find.
- Easy Deployment
- Integrations
- Connectivity
- Product Improvement
- Continuous Improvement
- Easy Setup