AI Empowered Audio-to-MIDI conversion

喜欢演奏原声乐器而不是使用乐谱或带有数字音频工作站（DAW）的MIDI乐器的音乐创作者在将录音转换为MIDI数据时经常遇到挑战。目前用于音频到midi转换的技术通常是不可靠的，特别是对于复杂的音乐作品，并且纠正错误的过程既耗时又乏味。这种困难阻碍了专业和业余作曲家、制作人和音乐教育者充分利用音乐制作软件行业提供的许多工具和资源。例如，许多软件包都具有自动伴奏和协调工具的功能，如果音轨没有转换为MIDI格式，那么这些工具就不那么有用了。我们开发了一种自我校正的机器学习应用程序，可以准确地将音频转换为MIDI，而不考虑复杂性，速度或使用的仪器。我们提出的项目的目标是通过创建一个专业的插件，使我们的技术提供给所有。

Music creators who prefer to compose by playing an acoustic instrument instead of using music notation or a MIDI instrument with a digital audio workstation (DAW) often encounter challenges in converting their audio recordings into MIDI data. The current technologies for Audio-to-MIDI conversion are often unreliable, particularly for complex musical compositions, and the process of correcting errors can be both time-consuming and tedious. This difficulty prevents professional and amateur composers, producers, and music educators from taking full advantage of the many tools and resources offered by the music production software industry. For example, many software packages feature automated accompaniment and harmonization tools, which are made far less useful if the audio track is not converted to a MIDI format.We have developed a self-correcting machine learning application that can accurately convert Audio to MIDI, regardless of the complexity, tempo, or instrumentation used. The goal of our proposed project is to make our technology available to all by creating a professional plugin.