| | Field | Response | | |
| | :---------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | |
| | Intended Application & Domain: | Generating waveform from mel spectrogram. | | |
| | Model Type: | Convolutional Neural Network (CNN) | | |
| | Intended Users: | This model is intended for developers to synthesize and generate waveforms from the AI-generated mel spectrograms. | | |
| | Output: | Audio Waveform | | |
| | Describe how the model works: | Model generates audio waveform corresponding to the input mel spectrogram. | | |
| | Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable | | |
| | Technical Limitations: | This may not perform well on synthetically-generated mel spectrograms that deviate significantly from the profile of mel spectrograms on which this was trained. | | |
| | Verified to have met prescribed NVIDIA quality standards: | Yes | | |
| | Performance Metrics: | Perceptual Evaluation of Speech Quality (PESQ), Virtual Speech Quality Objective Listener (VISQOL), Multi-resolution STFT (MRSTFT), Mel cepstral distortion (MCD), Periodicity RMSE, Voice/Unvoiced F1 Score (V/UV F1) | | |
| | Potential Known Risks: | This model may generate low-quality or distorted soundwaves. | | |
| | Licensing: | https://github.com/NVIDIA/BigVGAN/blob/main/LICENSE | | |