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NVIDIA
RIVA Conformer ASR English
Model
NVIDIA
NVIDIA
RIVA Conformer ASR English

English (en-GB) Conformer ASR model trained on ASR set 1.0

NVIDIA AI Enterprise Supported
This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Intended Application(s) & Domain(s):Transcription of speech to text used in Contact Center Transcription, Video Conferencing Transcription, Virtual Assistants, etcetera
Model Type:Speech Recognition
Intended Users:Data scientists in contact center transcription, video conferencing transcription, and virtual assistants.
Output:Transcribed text with timestamps and confidence scores
Describe how the model works:Model takes Audio as input and provides text as output
Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of:Age, Gender, National Origin
Technical Limitations:Transcripts are not 100% accurate. Accuracy varies based on the characteristics of input audio (Domain, Use Case, Accent, Noise, Speech Type, Context of speech, etc)
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)
Recommended Training:https://www.nvidia.com/en-us/on-demand/session/gtcfall22-a41089/
Licensing:https://www.developer.nvidia.com/riva/ga/license