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Merge pull request #60 from oxygen-dioxide/diffsinger
Diffsinger
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104 changes: 104 additions & 0 deletions
104
OpenUtau.Core/DiffSinger/DiffSingerSpeakerEmbedManager.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,104 @@ | ||
| using System; | ||
| using System.Collections.Generic; | ||
| using System.IO; | ||
| using System.Linq; | ||
|
|
||
| using Microsoft.ML.OnnxRuntime.Tensors; | ||
| using NumSharp; | ||
|
|
||
| using OpenUtau.Core.Render; | ||
|
|
||
| namespace OpenUtau.Core.DiffSinger | ||
| { | ||
| public class DiffSingerSpeakerEmbedManager | ||
| { | ||
| DsConfig dsConfig; | ||
| string rootPath; | ||
| public NDArray speakerEmbeds = null; | ||
| const string VoiceColorHeader = DiffSingerUtils.VoiceColorHeader; | ||
|
|
||
| public DiffSingerSpeakerEmbedManager(DsConfig dsConfig, string rootPath) { | ||
| this.dsConfig = dsConfig; | ||
| this.rootPath = rootPath; | ||
| } | ||
| public NDArray loadSpeakerEmbed(string speaker) { | ||
| string path = Path.Join(rootPath, speaker + ".emb"); | ||
| if(File.Exists(path)) { | ||
| var reader = new BinaryReader(File.OpenRead(path)); | ||
| return np.array<float>(Enumerable.Range(0, dsConfig.hiddenSize) | ||
| .Select(i => reader.ReadSingle())); | ||
| } else { | ||
| throw new Exception("Speaker embed file {path} not found"); | ||
| } | ||
| } | ||
|
|
||
| public NDArray getSpeakerEmbeds() { | ||
| if(speakerEmbeds == null) { | ||
| if(dsConfig.speakers == null) { | ||
| return null; | ||
| } else { | ||
| speakerEmbeds = np.zeros<float>(dsConfig.hiddenSize, dsConfig.speakers.Count); | ||
| foreach(var spkId in Enumerable.Range(0, dsConfig.speakers.Count)) { | ||
| speakerEmbeds[":", spkId] = loadSpeakerEmbed(dsConfig.speakers[spkId]); | ||
| } | ||
| } | ||
| } | ||
| return speakerEmbeds; | ||
| } | ||
|
|
||
| public bool IsVoiceColorCurve(string abbr, out int subBankId) { | ||
| subBankId = 0; | ||
| if (abbr.StartsWith(VoiceColorHeader) && int.TryParse(abbr.Substring(2), out subBankId)) {; | ||
| subBankId -= 1; | ||
| return true; | ||
| } else { | ||
| return false; | ||
| } | ||
| } | ||
|
|
||
| public int getSpeakerIndexBySuffix(string suffix){ | ||
| var speakerIndex = dsConfig.speakers.IndexOf(suffix); | ||
| if(speakerIndex == -1){ | ||
| speakerIndex = 0; | ||
| } | ||
| return speakerIndex; | ||
| } | ||
|
|
||
| public Tensor<float> PhraseSpeakerEmbed(RenderPhrase phrase, IList<int> durations, float frameMs, int totalFrames, int headFrames, int tailFrames){ | ||
| var singer = phrase.singer; | ||
| var hiddenSize = dsConfig.hiddenSize; | ||
| var speakerEmbeds = getSpeakerEmbeds(); | ||
| //get default speaker for each phoneme | ||
| var headDefaultSpk = getSpeakerIndexBySuffix(phrase.phones[0].suffix); | ||
| var tailDefaultSpk = getSpeakerIndexBySuffix(phrase.phones[^1].suffix); | ||
| var defaultSpkByFrame = Enumerable.Repeat(headDefaultSpk, headFrames).ToList(); | ||
| defaultSpkByFrame.AddRange(Enumerable.Range(0, phrase.phones.Length) | ||
| .SelectMany(phIndex => Enumerable.Repeat(getSpeakerIndexBySuffix(phrase.phones[phIndex].suffix), durations[phIndex+1]))); | ||
| defaultSpkByFrame.AddRange(Enumerable.Repeat(tailDefaultSpk, tailFrames)); | ||
| //get speaker curves | ||
| NDArray spkCurves = np.zeros<float>(totalFrames, dsConfig.speakers.Count); | ||
| foreach(var curve in phrase.curves) { | ||
| if(IsVoiceColorCurve(curve.Item1,out int subBankId) && subBankId < singer.Subbanks.Count) { | ||
| var spkId = getSpeakerIndexBySuffix(singer.Subbanks[subBankId].Suffix); | ||
| spkCurves[":", spkId] += DiffSingerUtils.SampleCurve(phrase, curve.Item2, 0, | ||
| frameMs, totalFrames, headFrames, tailFrames, x => x * 0.01f) | ||
| .Select(f => (float)f).ToArray(); | ||
| } | ||
| } | ||
| foreach(int frameId in Enumerable.Range(0,totalFrames)) { | ||
| //standarization | ||
| var spkSum = spkCurves[frameId, ":"].ToArray<float>().Sum(); | ||
| if (spkSum > 1) { | ||
| spkCurves[frameId, ":"] /= spkSum; | ||
| } else { | ||
| spkCurves[frameId,defaultSpkByFrame[frameId]] += 1 - spkSum; | ||
| } | ||
| } | ||
| var spkEmbedResult = np.dot(spkCurves, speakerEmbeds.T); | ||
| var spkEmbedTensor = new DenseTensor<float>(spkEmbedResult.ToArray<float>(), | ||
| new int[] { totalFrames, hiddenSize }) | ||
| .Reshape(new int[] { 1, totalFrames, hiddenSize }); | ||
| return spkEmbedTensor; | ||
| } | ||
| } | ||
| } |
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