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Model
This collection contains two models: 1) Multi-speaker FastPitch (around 50M parameters) trained on HiFiTTS with over 291.6 hours of english speech and 10 speakers. 2) HiFiGAN trained on mel spectrograms produced by the Multi-speaker FastPitch in (1).
Use the NGC CLI to download:
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| Field | Response |
|---|---|
| Generatable or reverse engineerable personally-identifiable information (PII)? | None |
| Protected classes used to create this model? | Not Applicable |
| Was consent obtained for any PII used? | Yes |
| How often is dataset reviewed? | When Acquired |
| Is a mechanism in place to honor data subject right of access or deletion of personal data? | No |
| If PII collected for the development of the model, was it collected directly by NVIDIA? | PII Not Collected for Development of This Model. |
| If PII collected for the development of the model by NVIDIA, do you maintain or have access to disclosures made to data subjects? | Not Applicable |
| If PII collected for the development of this AI model, was it minimized to only what was required? | Yes |
| Is there provenance for all datasets used in training? | Yes |
| Does data labeling (annotation, metadata) comply with privacy laws? | Yes |
| Is data compliant with data subject requests for data correction or removal, if such a request was made? | Yes, for data collected by NVIDIA. No, for all externally-sourced data. |
| Applicable NVIDIA Privacy Policy | https://www.nvidia.com/en-us/about-nvidia/privacy-policy/ |