Field                                                                                                  |  Response
:------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------
Intended Domain:                                                                   |  Voice Activity Detection (VAD)
Model Type:                                                                                            |  Convolutional Neural Network (CNN)
Intended Users:                                                                                        |  Developers, Speech Processing Engineers, AI Researchers
Output:                                                                                                |  Sequence of speech probabilities for each 20 millisecond audio frame
Describe how the model works:                                                                          |  The model processes input audio by extracting spectrogram features, which are then passed through MarbleNet—a lightweight CNN-based model designed for VAD. The CNN learns to detect patterns associated with speech activity and outputs a probability score indicating the presence of speech in each 20 millisecond frame
Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of:  |  Not Applicable
Technical Limitations:                                                                                 |  The model operates on 20 millisecond frames. While it supports longer frames by breaking them into smaller segments, it does not support outputs with a finer granularity than 20 milliseconds.
Verified to have met prescribed NVIDIA quality standards:  |  Yes
Performance Metrics:                                                                                   |  Accuracy (False Positive Rate, ROC-AUC score), Latency, Throughput
Potential Known Risks:                                                                                 |  While the model was trained on a limited number of languages, including Chinese, English, French, Spanish, German, and Russian, the model may experience a degradation in quality for languages and accents that are not included in the training dataset
Licensing:                                                                                             |  [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license)