wavetomid 0.2.2

wavetomid is a Python library developed by p_busto that allows users to convert audio files in WAV format to MIDI files.

Wavetomid uses audio signal processing techniques to analyze the waveform of a WAV file and extract the pitch and timing information. It then translates this information into a MIDI file representation.

To use wavetomid, you need to have Python installed on your system. Additionally, you will need the numpy and scipy libraries, which can be easily installed using pip.

While wavetomid is designed to convert audio from WAV to MIDI, the quality of the output can vary depending on the complexity and clarity of the original audio. Simple melodies or monophonic recordings usually produce better results.

The accuracy of the conversion process depends on various factors, such as the quality of the input audio, the presence of background noise, and the complexity of the music. While it can achieve good results in many cases, it may not always perfectly capture all nuances of the original audio.

Yes, there are some limitations to consider when using wavetomid. It may struggle with songs that contain complex chords or multiple instruments playing simultaneously. Additionally, it may have difficulty recognizing very short or very long notes accurately.

Yes, once the audio has been converted to MIDI, you can further edit and modify the MIDI file using various tools or libraries. This allows you to refine the results or add additional musical elements as needed.

Yes, there are several other tools and libraries available for audio-to-MIDI conversion. Some popular alternatives include Melodyne, AmazingMIDI, and AnthemScore. It's recommended to explore multiple options and choose the one that best suits your specific requirements.

Documentation and examples for wavetomid can be found on the project's GitHub repository. The repository contains a readme file with detailed instructions on how to install and use the library, as well as examples showcasing its capabilities.

Yes, contributions to wavetomid are welcomed. The project is open-source, and you can find information on how to contribute on the GitHub repository. Feel free to submit bug reports, feature requests, or even contribute code improvements via pull requests.