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法拉:学音乐之声之象
Davide Marin · 2026-05-06 · via cs.LG updates on arXiv.org

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摘要:根检索,即配对缺失之根于既定之音轨,乃当世之要务,然受限于弃时序之模型。吾等创PHALAR,为对比框架,较之当世最优,相对精度增约70%,而所需者<半参数,七倍速。以习得频谱池化层与复值头,PHALAR立音高等变、相位等变之偏。PHALAR于MoisesDB、Slakh、ChocoChorales立检索之最,与人类连贯性判断相合甚高,远胜语义基线。终以零样本节拍追踪、线性和弦探测证PHALAR能捕捉检索任务外之强健音乐结构。
评述: 于ICML二零二六年录用
主题: 声学 (cs.SD);人工智能 (cs.AI);机器学习 (cs.LG);信号处理 (eess.SP)
引文格式: arXiv:2605.03929 [cs.SD]
  (或 arXiv:2605.03929v4 [cs.SD])为此版本)
  https://doi.org/10.48550/arXiv.2605.03929

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自:Davide Marincione [视邮件]
[v1] 周二,五月五日,十六时十九分五十八秒UTC(3,943KB)
[v2] 火曜日,五月六日,二〇二六年,九時二七分四二秒,格林威治標準時間(三,九四〇千位元組)
[v3] 星期六,五月九日,二〇二六年,一一時一八分二二秒,格林威治標準時間(三,九四三千位元組)
[v4] 星期二,五月二十六日,一七時零一分二三秒,格林威治標準時間(四,四一八千位元組)