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14 lines
4.1 KiB
Markdown
14 lines
4.1 KiB
Markdown
| Field | Response |
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| :---------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Intended Application & Domain: | Generating waveform from mel spectrogram. |
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| Model Type: | Convolutional Neural Network (CNN) |
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| Intended Users: | This model is intended for developers to synthesize and generate waveforms from the AI-generated mel spectrograms. |
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| Output: | Audio Waveform |
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| Describe how the model works: | Model generates audio waveform corresponding to the input mel spectrogram. |
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| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable |
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| 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. |
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| Verified to have met prescribed NVIDIA quality standards: | Yes |
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| 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) |
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| Potential Known Risks: | This model may generate low-quality or distorted soundwaves. |
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| Licensing: | https://github.com/NVIDIA/BigVGAN/blob/main/LICENSE |
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