Robust Polyphonic Midi Score Following with Hidden Markov Models
Robust Polyphonic Midi Score Following with Hidden Markov Models
复制标题
具有隐藏马尔可夫模型的稳健复调 Midi 乐谱
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
Norbert Schnell
中科院分区：
文献类型：
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作者：
Diemo Schwarz;N. Orio;Norbert Schnell
虽然现代的配乐跟踪系统在低复调演奏时效果很好，但对于钢琴或吉他等高度复调的乐器来说，它们仍然太不精确了。另一方面，这些乐器可以很容易地输出MIDI信息，这表明我们在MIDI乐谱跟踪方面的工作仍然需要进行。我们提出了一种对基于HMM的随机音频乐谱跟随者的Midi输入进行适配的方法，将注意力集中在钢琴作为我们的测试乐器上。迷笛音符的声学凸起由一个幅度包络来模拟，其中考虑了音符匹配和攻击概率的维持踏板。对一段有许多错误的复杂钢琴作品进行的测试表明，该方法具有很高的稳健性。
Although modern audio score following systems work very well with low polyphony performances, they are still too imprecise with highly polyphonic instruments such as the piano, or the guitar. On the other hand, these instruments can easily output Midi information which shows that our work on robust Midi score following is still needed. We propose an adaptation to Midi input of our HMM-based stochastic audio score follower, focusing the attention on the piano as our test instrument. The acoustic salience of the Midi notes is modeled by an amplitude envelope, taking into account the sustain pedal, from which note match and attack probabilities are derived. Tests with a complex piano piece played with many errors showed a very high robustness.