第一幕：当交响乐团遇上GPU集群

import numpy as np
from dataclasses import dataclass

@dataclass
class StyleVector:
    timbre: np.ndarray
    rhythm: np.ndarray
    harmony: np.ndarray
    texture: np.ndarray

class GenreInterpolator:
    def __init__(self, style_encoder, decoder, latent_dim=512):
        self.style_encoder = style_encoder
        self.decoder = decoder
        self.latent_dim = latent_dim

    def extract_style(self, audio_segment):
        features = self.style_encoder(audio_segment)
        return StyleVector(
            timbre=features[:128],
            rhythm=features[128:256],
            harmony=features[256:384],
            texture=features[384:]
        )

    def interpolate(self, style_a, style_b, alpha_schedule):
        frames = []
        for alpha in alpha_schedule:
            blended = np.concatenate([
                style_a.timbre * (1 - alpha) + style_b.timbre * alpha,
                style_a.rhythm * (1 - alpha * 0.7) + style_b.rhythm * alpha * 0.7,
                style_a.harmony * (1 - alpha) + style_b.harmony * alpha,
                style_a.texture * (1 - alpha * 0.5) + style_b.texture * alpha * 0.5
            ])
            frame = self.decoder(blended)
            frames.append(frame)
        return np.concatenate(frames, axis=-1)

pragma solidity ^0.8.20;

contract AIMusicRegistry {
    struct MusicWork {
        address creator;
        string modelVersion;
        string promptHash;
        uint256 createdAt;
        uint256 humanEditScore;
        bool registered;
    }

    mapping(bytes32 => MusicWork) public works;
    mapping(address => bytes32[]) public creatorWorks;

    event WorkRegistered(bytes32 indexed workId, address indexed creator, uint256 timestamp);
    event EditScoreUpdated(bytes32 indexed workId, uint256 newScore);

    function registerWork(
        bytes32 workId,
        string calldata modelVersion,
        string calldata promptHash,
        uint256 humanEditScore
    ) external {
        require(!works[workId].registered, "Work already registered");
        require(humanEditScore <= 100, "Edit score must be 0-100");

        works[workId] = MusicWork({
            creator: msg.sender,
            modelVersion: modelVersion,
            promptHash: promptHash,
            createdAt: block.timestamp,
            humanEditScore: humanEditScore,
            registered: true
        });

        creatorWorks[msg.sender].push(workId);
        emit WorkRegistered(workId, msg.sender, block.timestamp);
    }

    function updateEditScore(bytes32 workId, uint256 newScore) external {
        require(works[workId].registered, "Work not registered");
        require(works[workId].creator == msg.sender, "Not the creator");
        require(newScore <= 100, "Edit score must be 0-100");

        works[workId].humanEditScore = newScore;
        emit EditScoreUpdated(workId, newScore);
    }

    function getCopyrightTier(bytes32 workId) external view returns (string memory) {
        require(works[workId].registered, "Work not registered");
        uint256 score = works[workId].humanEditScore;
        if (score >= 70) return "full_copyright";
        if (score >= 40) return "limited_copyright";
        return "no_copyright";
    }
}

class SoundDesignPipeline {
  constructor(apiClient, analysisEngine) {
    this.apiClient = apiClient;
    this.analysisEngine = analysisEngine;
    this.timeline = [];
  }

  async analyzeScene(videoBuffer, timecodes) {
    const scenes = [];
    for (const tc of timecodes) {
      const frame = this.extractFrame(videoBuffer, tc);
      const mood = await this.analysisEngine.classifyMood(frame);
      const ambient = await this.analysisEngine.detectEnvironment(frame);
      const actions = await this.analysisEngine.detectActions(frame, tc);
      scenes.push({ timecode: tc, mood, ambient, actions });
    }
    return scenes;
  }

  async generateSoundscape(scenes, styleProfile) {
    const layers = [];
    for (const scene of scenes) {
      const ambientPrompt = `${scene.ambient} environment, ${scene.mood} mood`;
      const ambientLayer = await this.apiClient.generateAudio({
        prompt: ambientPrompt,
        duration: scene.duration,
        model: "soundscape-v2"
      });

      const sfxLayers = await Promise.all(
        scene.actions.map(action =>
          this.apiClient.generateAudio({
            prompt: action.description,
            duration: action.duration,
            model: "sfx-v2",
            syncToTimecode: action.timecode
          })
        )
      );

      layers.push({ ambient: ambientLayer, sfx: sfxLayers, scene });
    }

    return this.mixLayers(layers, styleProfile);
  }

  async mixLayers(layers, styleProfile) {
    const mixed = [];
    for (const layer of layers) {
      const ambientGain = styleProfile.ambientLevel ?? -12;
      const normalized = this.normalizeAudio(layer.ambient, ambientGain);
      const withSfx = this.overlayEffects(normalized, layer.sfx);
      mixed.push(withSfx);
    }
    return this.concatenateTimeline(mixed);
  }

  exportEDL(timeline) {
    const edl = timeline.map((entry, index) => ({
      event: index + 1,
      reel: `AI_SFX_${entry.scene.sceneId}`,
      startTime: entry.scene.timecode,
      duration: entry.scene.duration,
      audioTrack: entry.trackAssignment
    }));
    return edl;
  }
}