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https://github.com/curioustorvald/tsvm.git
synced 2026-03-07 19:51:51 +09:00
TAV: fix - TAD audio incorrectly decoding due to incorrect step size reconstruction
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@@ -488,8 +488,6 @@ class AudioAdapter(val vm: VM) : PeriBase(VM.PERITYPE_SOUND) {
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((tadInputBin[offset++].toUint()) shl 24)
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)
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// println("Q$maxIndex, SampleCount: $sampleCount, payloadSize: $payloadSize")
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// Decompress payload
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val compressed = ByteArray(payloadSize)
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UnsafeHelper.memcpyRaw(null, tadInputBin.ptr + offset, compressed, UnsafeHelper.getArrayOffset(compressed), payloadSize.toLong())
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@@ -724,17 +722,19 @@ class AudioAdapter(val vm: VM) : PeriBase(VM.PERITYPE_SOUND) {
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}
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private fun dwt97InverseMultilevel(data: FloatArray, length: Int, levels: Int) {
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// Calculate the length at the deepest level
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var currentLength = length
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for (level in 0 until levels) {
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currentLength = (currentLength + 1) / 2
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// Pre-calculate all intermediate lengths used during forward transform
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// Forward uses: data[0..length-1], then data[0..(length+1)/2-1], etc.
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val lengths = IntArray(levels + 1)
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lengths[0] = length
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for (i in 1..levels) {
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lengths[i] = (lengths[i - 1] + 1) / 2
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}
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// Inverse transform: double size FIRST, then apply inverse DWT
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// Inverse transform: apply inverse DWT using exact forward lengths in reverse order
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// Forward applied DWT with lengths: [length, (length+1)/2, ((length+1)/2+1)/2, ...]
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// Inverse must use same lengths in reverse: [..., ((length+1)/2+1)/2, (length+1)/2, length]
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for (level in levels - 1 downTo 0) {
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currentLength *= 2 // MULTIPLY FIRST
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if (currentLength > length) currentLength = length
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dwt97Inverse1d(data, currentLength) // THEN apply inverse
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dwt97Inverse1d(data, lengths[level])
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}
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}
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@@ -313,24 +313,25 @@ static void dwt_dd4_inverse_1d(float *data, int length) {
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}
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static void dwt_inverse_multilevel(float *data, int length, int levels) {
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// Calculate the length at the deepest level (size of low-pass after all forward DWTs)
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int current_length = length;
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for (int level = 0; level < levels; level++) {
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current_length = (current_length + 1) / 2;
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// Pre-calculate all intermediate lengths used during forward transform
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// Forward uses: data[0..length-1], then data[0..(length+1)/2-1], etc.
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int *lengths = malloc((levels + 1) * sizeof(int));
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lengths[0] = length;
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for (int i = 1; i <= levels; i++) {
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lengths[i] = (lengths[i - 1] + 1) / 2;
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}
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// For 8 levels on 32768: 32768→16384→8192→4096→2048→1024→512→256→128
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// Inverse transform: double size FIRST, then apply inverse DWT
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// Level 8 inverse: 128 low + 128 high → 256 reconstructed
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// Level 7 inverse: 256 reconstructed + 256 high → 512 reconstructed
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// ... Level 1 inverse: 16384 reconstructed + 16384 high → 32768 reconstructed
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// Inverse transform: apply inverse DWT using exact forward lengths in reverse order
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// Forward applied DWT with lengths: [length, (length+1)/2, ((length+1)/2+1)/2, ...]
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// Inverse must use same lengths in reverse: [..., ((length+1)/2+1)/2, (length+1)/2, length]
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for (int level = levels - 1; level >= 0; level--) {
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current_length *= 2; // MULTIPLY FIRST: 128→256, 256→512, ..., 16384→32768
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if (current_length > length) current_length = length;
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int current_length = lengths[level];
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// dwt_haar_inverse_1d(data, current_length); // THEN apply inverse
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// dwt_dd4_inverse_1d(data, current_length); // THEN apply inverse
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dwt_97_inverse_1d(data, current_length); // THEN apply inverse
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}
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free(lengths);
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}
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//=============================================================================
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