| Field | Response |
| :------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------- |
| Intended Task/Domain: | Speech Transcription |
| Model Type: | FastConformer-CacheAware-RNNT |
| Intended Users: | This model is intended for developers and data scientists building interactive call centers, virtual assistants, and language learning assistants. |
| Output: | Transcribed text with timestamps and confidence scores |
| Describe how the model works: | Model transcribes audio input into text for the input language |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Age, Gender, National Origin |
| Technical Limitations & Mitigation: | Transcripts may not be 100% accurate. Accuracy varies depending on the characteristics of the input audio, such as domain, use case, accent, noise, speech type, and speech context. |
| Verified to have met prescribed NVIDIA quality standards: | Yes |
| Performance Metrics: | Word Error Rate (WER), Silence Robustness (Characters/mins of silent audio), Latency (in milliseconds), Throughput (Total audio processed per unit of time) |
| Potential Known Risks: | Not recommended for word-for-word transcription as accuracy varies based on the characteristics of input audio (domain, use case, accent, noise, speech type, and context of speech) |
| Licensing: | Governing Terms: Use of the model is governed by the [OpenMDW-1.1](https://openmdw.ai/license/1-1/) license. |
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