compressionkit-ppg-32x-v1.0 / codec_spec.json
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{
"family": "rvq",
"method": "ai",
"modality": "ppg",
"sample_rate": 64,
"compression_ratio": 32,
"experiment_id": "ppg-rvq-32x",
"run_name": "ppg_rvq_64hz_32x_golden",
"package_version": "1.0",
"input_contract": {
"encoder_input_shape": [
null,
1,
320,
1
],
"encoder_input_dtype": "float32"
},
"preprocessing_contract": {
"format_version": 1,
"sample_rate_hz": 64,
"frame_size": 320,
"input_shape": [
1,
1,
320,
1
],
"normalization": {
"kind": "per_frame_layer_norm",
"mean": "mean over all samples in each frame",
"variance": "mean squared deviation over all samples in each frame",
"epsilon": 0.001,
"inverse_for_display": "raw = normalized * sqrt(variance + epsilon) + mean"
},
"int8_quantization": {
"calibration_frames": 4096,
"validation_frames": 2048,
"sampling_pool_frames": 65536,
"sampling_method": "seeded reservoir sample; disjoint calibration and validation partitions"
}
},
"encoder": {
"tflite": "encoder_float32.tflite",
"header": "encoder.h",
"default_variant": "float32",
"default_tflite": "encoder_float32.tflite",
"float32_tflite": "encoder_float32.tflite",
"fp16_tflite": "encoder_fp16.tflite",
"fp16_header": "encoder_fp16.h",
"int16x8_tflite": "encoder_int16x8.tflite",
"int16x8_header": "encoder_int16x8.h",
"int8_tflite": "encoder.tflite",
"int8_header": "encoder.h",
"variants": {
"float32": {
"tflite": "encoder_float32.tflite",
"input_dtype": "float32"
},
"fp16": {
"tflite": "encoder_fp16.tflite",
"input_dtype": "float32"
},
"int16x8": {
"tflite": "encoder_int16x8.tflite",
"input_dtype": "float32"
},
"int8": {
"tflite": "encoder.tflite",
"input_dtype": "int8"
}
},
"keras": "encoder.keras",
"input_shape": [
null,
1,
320,
1
],
"output_shape": [
null,
1,
20,
16
]
},
"decoder": {
"keras": "decoder.keras",
"float32_tflite": "decoder_float32.tflite",
"int8_tflite": "decoder.tflite",
"int8_header": "decoder.h",
"input_shape": [
null,
1,
20,
16
],
"output_shape": [
null,
1,
320,
1
]
},
"codebook": {
"npz": "codebook.npz",
"header": "codebook.h",
"num_levels": 2,
"num_embeddings": 256,
"embedding_dim": 16
},
"sample_data": {
"npz": "sample_data.npz",
"num_samples": 10,
"arrays": [
"inputs",
"targets",
"reconstructions"
]
}
}