用量子电路分析歌声，客观评分准确率超传统方法12.86点
Quantum-Enhanced Analysis and Grading of Vocal Performance
- 将音高、动态、音色等特征编码进小型量子电路，融合纠缠与旋转门
- 在168段音频上达到74.29%与专家评分一致，较传统方法提升12.86个百分点
- 适合音乐教育、自动评分系统开发者，可解释性强且单次处理不足1分钟
我们提出QuantumMelody，一种混合量子-经典方法，用于客观声乐评估。将音高稳定性、动态变化、音色等分组声学特征编码至小型模拟量子电路中；所有九个量子比特均经哈达玛门初始化，随后接受Rx、Ry、Rz旋转，并引入组内与跨组纠缠。电路测量概率与频谱图变换器嵌入向量融合，用于预测2-5级评分并生成技术层面反馈。在168个标注的20秒音频片段上，该方法与专家评分达成74.29%的一致性，较经典特征基线提升12.86个百分点。单条录音处理时间低于一分钟，运行于笔记本级Qiskit模拟器；不宣称硬件加速优势。本工作为可解释、客观的声乐评估在音频信号处理中的应用迈出可行性一步。
原文摘要 · Abstract (English)
We present QuantumMelody, a hybrid quantum-classical method for objective singing assessment. Grouped vocal features (pitch stability, dynamics, timbre) are encoded into a small simulated quantum circuit; all nine qubits are initialized with a Hadamard on each qubit and then receive Rx, Ry, and Rz rotations, with intra- and cross-group entanglement. The circuit measurement probabilities are fused with spectrogram transformer embeddings to estimate a grade on labels 2-5 and to surface technique-level feedback. On 168 labeled 20 second excerpts, the hybrid reaches 74.29% agreement with expert graders, a +12.86 point gain over a classical-features baseline. Processing is sub-minute per recording on a laptop-class Qiskit simulator; we do not claim hardware speedups. This is a feasibility step toward interpretable, objective singing assessment in applied audio signal processing.
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