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* Amadeus: Final Act This is my requiem, I present to you Amadeus, a complete reimplementation of the Audio Renderer! This reimplementation is based on my reversing of every version of the audio system module that I carried for the past 10 months. This supports every revision (at the time of writing REV1 to REV8 included) and all features proposed by the Audio Renderer on real hardware. Because this component could be used outside an emulation context, and to avoid possible "inspirations" not crediting the project, I decided to license the Ryujinx.Audio.Renderer project under LGPLv3. - FE3H voices in videos and chapter intro are not present. - Games that use two audio renderer **at the same time** are probably going to have issues right now **until we rewrite the audio output interface** (Crash Team Racing is the only known game to use two renderer at the same time). - Persona 5 Scrambler now goes ingame but audio is garbage. This is caused by the fact that the game engine is syncing audio and video in a really aggressive way. This will disappears the day this game run at full speed. * Make timing more precise when sleeping on Windows Improve precision to a 1ms resolution on Windows NT based OS. This is used to avoid having totally erratic timings and unify all Windows users to the same resolution. NOTE: This is only active when emulation is running.
219 lines
7.6 KiB
C#
219 lines
7.6 KiB
C#
//
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// Copyright (c) 2019-2020 Ryujinx
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//
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// This program is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Lesser General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// This program is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public License
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// along with this program. If not, see <https://www.gnu.org/licenses/>.
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//
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using Ryujinx.Audio.Renderer.Dsp.State;
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using System;
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using System.Diagnostics;
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using System.Runtime.CompilerServices;
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namespace Ryujinx.Audio.Renderer.Dsp
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{
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public static class AdpcmHelper
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{
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private const int FixedPointPrecision = 11;
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private const int SamplesPerFrame = 14;
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private const int NibblesPerFrame = SamplesPerFrame + 2;
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private const int BytesPerFrame = 8;
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private const int BitsPerFrame = BytesPerFrame * 8;
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static uint GetAdpcmDataSize(int sampleCount)
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{
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Debug.Assert(sampleCount >= 0);
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int frames = sampleCount / SamplesPerFrame;
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int extraSize = 0;
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if ((sampleCount % SamplesPerFrame) != 0)
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{
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extraSize = (sampleCount % SamplesPerFrame) / 2 + 1 + (sampleCount % 2);
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}
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return (uint)(BytesPerFrame * frames + extraSize);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static int GetAdpcmOffsetFromSampleOffset(int sampleOffset)
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{
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Debug.Assert(sampleOffset >= 0);
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return GetNibblesFromSampleCount(sampleOffset) / 2;
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}
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public static int NibbleToSample(int nibble)
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{
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int frames = nibble / NibblesPerFrame;
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int extraNibbles = nibble % NibblesPerFrame;
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int samples = SamplesPerFrame * frames;
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return samples + extraNibbles - 2;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static int GetNibblesFromSampleCount(int sampleCount)
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{
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byte headerSize = 0;
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if ((sampleCount % SamplesPerFrame) != 0)
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{
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headerSize = 2;
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}
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return sampleCount % SamplesPerFrame + NibblesPerFrame * (sampleCount / SamplesPerFrame) + headerSize;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static short Saturate(int value)
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{
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if (value > short.MaxValue)
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value = short.MaxValue;
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if (value < short.MinValue)
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value = short.MinValue;
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return (short)value;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static int Decode(Span<short> output, ReadOnlySpan<byte> input, int startSampleOffset, int endSampleOffset, int offset, int count, ReadOnlySpan<short> coefficients, ref AdpcmLoopContext loopContext)
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{
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if (input.IsEmpty || endSampleOffset < startSampleOffset)
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{
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return 0;
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}
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byte predScale = (byte)loopContext.PredScale;
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byte scale = (byte)(predScale & 0xF);
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byte coefficientIndex = (byte)((predScale >> 4) & 0xF);
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short history0 = loopContext.History0;
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short history1 = loopContext.History1;
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short coefficient0 = coefficients[coefficientIndex * 2 + 0];
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short coefficient1 = coefficients[coefficientIndex * 2 + 1];
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int decodedCount = Math.Min(count, endSampleOffset - startSampleOffset - offset);
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int nibbles = GetNibblesFromSampleCount(offset + startSampleOffset);
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int remaining = decodedCount;
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int outputBufferIndex = 0;
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int inputIndex = 0;
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ReadOnlySpan<byte> targetInput;
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targetInput = input.Slice(nibbles / 2);
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while (remaining > 0)
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{
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int samplesCount;
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if (((uint)nibbles % NibblesPerFrame) == 0)
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{
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predScale = targetInput[inputIndex++];
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scale = (byte)(predScale & 0xF);
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coefficientIndex = (byte)((predScale >> 4) & 0xF);
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coefficient0 = coefficients[coefficientIndex * 2 + 0];
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coefficient1 = coefficients[coefficientIndex * 2 + 1];
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nibbles += 2;
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samplesCount = Math.Min(remaining, SamplesPerFrame);
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}
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else
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{
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samplesCount = 1;
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}
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int scaleFixedPoint = FixedPointHelper.ToFixed(1.0f, FixedPointPrecision) << scale;
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if (samplesCount < SamplesPerFrame)
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{
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for (int i = 0; i < samplesCount; i++)
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{
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int value = targetInput[inputIndex];
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int sample;
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if ((nibbles & 1) != 0)
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{
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sample = (value << 28) >> 28;
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inputIndex++;
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}
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else
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{
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sample = (value << 24) >> 28;
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}
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nibbles++;
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int prediction = coefficient0 * history0 + coefficient1 * history1;
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sample = FixedPointHelper.RoundUpAndToInt(sample * scaleFixedPoint + prediction, FixedPointPrecision);
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short saturatedSample = Saturate(sample);
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history1 = history0;
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history0 = saturatedSample;
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output[outputBufferIndex++] = saturatedSample;
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remaining--;
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}
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}
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else
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{
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for (int i = 0; i < SamplesPerFrame / 2; i++)
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{
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int value = targetInput[inputIndex];
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int sample0;
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int sample1;
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sample0 = (value << 24) >> 28;
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sample1 = (value << 28) >> 28;
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inputIndex++;
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int prediction0 = coefficient0 * history0 + coefficient1 * history1;
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sample0 = FixedPointHelper.RoundUpAndToInt(sample0 * scaleFixedPoint + prediction0, FixedPointPrecision);
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short saturatedSample0 = Saturate(sample0);
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int prediction1 = coefficient0 * saturatedSample0 + coefficient1 * history0;
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sample1 = FixedPointHelper.RoundUpAndToInt(sample1 * scaleFixedPoint + prediction1, FixedPointPrecision);
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short saturatedSample1 = Saturate(sample1);
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history1 = saturatedSample0;
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history0 = saturatedSample1;
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output[outputBufferIndex++] = saturatedSample0;
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output[outputBufferIndex++] = saturatedSample1;
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}
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nibbles += SamplesPerFrame;
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remaining -= SamplesPerFrame;
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}
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}
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loopContext.PredScale = predScale;
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loopContext.History0 = history0;
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loopContext.History1 = history1;
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return decodedCount;
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}
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}
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}
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