| { |
| "format": "naptrap-google-speech-embedding-onnx-v1", |
| "source": { |
| "repo_id": "androiddrew/google-speech-embedding-pytorch", |
| "commit": "ad7a3dd93b02f83797a040857425d6343d98680a", |
| "format": "naptrap-google-speech-embedding-v1", |
| "sha256": "80a10015f4eb8ff9ba1aa10b56b1d6e27ef9f9f3419ebbae56fb43e9afce37be" |
| }, |
| "opset": 17, |
| "embedding_size": 96, |
| "inputs": { |
| "waveform": "[N] mono 16 kHz float32, N >= 1280" |
| }, |
| "outputs": { |
| "embeddings": "[floor(N / 1280), 96]" |
| }, |
| "preprocessing": { |
| "sample_rate": 16000, |
| "leading_zeros": 11120, |
| "frames": "floor(samples / 1280)", |
| "stft": "400-sample Hann window, hop 160, 512-point FFT, no centering, magnitude", |
| "mel": "32 bins, natural log(mel + 0.001)" |
| }, |
| "sha256": { |
| "model.onnx": "bfef7f0ace055206df8aeab960bb0fbe6e44898a8549ef79ae6a1ed6591169d3" |
| } |
| } |
|
|
