| Field | Response |
|---|---|
| Intended Task/Domain: | Speech Recognition |
| Model Type: | FastConformer-RNNT |
| Intended Users: | People who work with conversational AI models and need to transcribe speech to text with low latency in streaming scenarios. |
| Output: | Text tokens |
| Describe how the model works: | Raw audio is passed into the model, and the model outputs text. |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable |
| Technical Limitations & Mitigation: | The model is trained on only a limited amount of English speech data; therefore, it may not work well for other languages, and its performance may degrade in noisy environments. |
| Verified to have met prescribed NVIDIA quality standards: | Yes |
| Performance Metrics: | Word Error Rate (WER) |
| Potential Known Risks: | The model may produce incorrect transcriptions if the audio is noisy or the speech is not clear, and predicted text may be inaccurate in domains that are not well-represented in the training data. |
| Licensing: | NVIDIA Open Model License |
Xet Storage Details
- Size:
- 2.18 kB
- Xet hash:
- 4a38bdf413b1bd733d6a8d1e7fab13815606ebf7600d7fa18f664f8888291b64
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