| 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 |
