Model
Large size version of hybrid Fast Conformer TDT-CTC 114M parameter model trained on larger dataset of 36000 hrs with Punctuation and Capitalization. This model is jointly developed by NVIDIA NeMo and Suno.ai teams.
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| Field | Response |
|---|---|
| Generatable or reverse engineerable personal data? | None |
| If applicable, was a notice provided to the individuals prior to the collection of any personal data used? | Not Applicable |
| If personal data was collected for the development of the model, was it collected directly by NVIDIA? | Not Applicable |
| Is there dataset provenance? (Do you know where the data came from?) | Yes |
| If data is labeled, was it reviewed by legal on compliance privacy laws? 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? | No, not possible with externally-sourced data. |
| Is a mechanism in place to honor data subject rights of access or deletion of personal data? | No |