Automatic Drum Transcription (ADT) remains a challenging task in MIR but recent advances allow accurate transcription of drum kits with up 5 classes - kick, snare, hi-hats, toms and cymbals - via the ADTOF package. In addition, several drum kit \emph{stem} separation models in the open source community support separation for more than 6 stem classes, including distinct crash and ride cymbals. In this work we explore the benefits of combining these tools to improve the realism of drum transcriptions. We describe a simple post-processing step which expands the transcription output from five to seven classes and furthermore, we are able to estimate MIDI velocity values based on the separated stems. Our solution achieves strong performance when assessed against a baseline of 8-class drum transcription and produces realistic MIDI transcriptions suitable for MIR or music production tasks.

翻译：自动鼓谱转录（ADT）在音乐信息检索（MIR）中仍是一项具有挑战性的任务，但近期进展通过ADTOF软件包已能实现对多达5类鼓组（底鼓、军鼓、踩镲、通鼓和镲片）的精确转录。此外，开源社区中的若干鼓组**分轨**分离模型支持对超过6类分轨（包括独立的碎音镲和节奏镲）进行分离。本研究探讨了结合这些工具以提升鼓谱转录真实性的优势。我们描述了一个简单的后处理步骤，可将转录输出从五类扩展至七类，并进一步基于分离的分轨估计MIDI力度值。与八类鼓谱转录基线相比，我们的解决方案展现出强劲性能，并能生成适用于MIR或音乐制作任务的逼真MIDI转录。