zozoosibanda2-creator's picture
|
download
raw
2.18 kB
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](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/)

Xet Storage Details

Size:
2.18 kB
·
Xet hash:
4a38bdf413b1bd733d6a8d1e7fab13815606ebf7600d7fa18f664f8888291b64

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.