| Intended Task/Domain: |
Speech Transcription |
| Model Type: |
FastConformer-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: |
Use of this model is governed by the NVIDIA Open Model License Agreement |
