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NVIDIA
NVIDIA
RIVA Conformer ASR Spanish EMEA
Model
NVIDIA
NVIDIA
RIVA Conformer ASR Spanish EMEA

Spanish EMEA Conformer ASR model trained on RIVA ASR set

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 Applications & Domains:Speech Transcription
Types:Speech Transcription
Intended Users:Data Scientists in Contact Center Transcription, Video Conferencing Transcription, Virtual Assistants, etc
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:Transcripts may not be 100% accurate. Accuracy varies based on the characteristics of input audio (Domain, Use Case, Accent, Noise, Speech Type, Context of speech, etc.)
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:https://developer.nvidia.com/riva/ga/license