Optical music recognition Puns

The aim of this project is to develop a sheet music reader. This is called Optical Music Recognition (OMR). Its objective is to convert sheet music to a machine-readable version. We take a simplified version where we convert an image of sheet music to a textual representation that can be further processed to produce midi files or audio files like wav or mp3.

GitHub: https://github.com/aashrafh/Mozart

Hey guys,

My professor asked me to write my bachelor thesis on optical music recognition with a deep learning neural network. Despite I'm having no experience in ML nor OCR/OMR at all I'm pretty interested in this topic and eager to learn.

I have found a dataset of 15000 handwritten musical symbols. Now I need to figure out how to recognize music symbols on sheet music and how to train a neuronal network with this data.

Nonetheless I'm not sure where to start. I watch youtube tutorials on tensorflow and keras. But it feels like that it leads me off my track.

I would love to have opinions on 'is it doable without prior experience?' and 'whats next, what are good resources to learn NN and OCR'

Thanks a lot!

Title basically.

I'm not looking to make or spend, any money here. Surely someone somewhere has an open source/shareware/freeware software package that can convert a sheet of paper into music at my speakers. Can anybody tell me where I can find such a thing?

I tried:

SmartScore works well enough that I can make the song play after some revisions, but it's expensive for a version that can save the file it took me a while to get working right https://www.musitek.com/compare.html

Audiveris tries, but fails/errors out on the same file SmartScore can mostly work with https://github.com/Audiveris/audiveris/releases

Sharpeye is, again, not free http://www.visiv.co.uk/

Musescore failed pretty hard when I uploaded a .pdf for it to read https://musescore.com/

ScanScore is not free https://scan-score.com/en/products/

Photoscore is not free https://www.neuratron.com/photoscore.htm

OMeR tried, but it requires Harmony which failed extremely badly to open after installation on my PC http://www.myriad-online.com/en/products/omer.htm

aruspix is for Mac OS https://www.aruspix.net/downloads.html

PlayScore is for Mac (or Android) only https://www.playscore.co/convert-sheet-music-xml/

There are lots of projects on github that require more computer savvy than I possess, or depend on other non-free software to be available

https://github.com/apacha/MusicObjectDetector-TF

https://github.com/OMR-Research/MeasureDetector

https://github.com/StivenMetaj/MNR-MUSCIMA-Notes-Recognition

https://github.com/cemfi/measure-detector/blob/master/README.md

https://github.com/OMR-Research/MungLinker

I also searched this subreddit but came up emptyhanded

Creating large datasets using OCR from GCP & AWS, then go through and clean up the data and import into our data model.

What is the best way to test this data's accuracy afterwards as my creative mind is blank outside of spot checking it manually against the original paperwork.

Hello, I am currently a student in computer science and I wanted to make an Android App that uses scanned handwritten scores or Digital music scores and convert them into MusicXML Files. I wanted to know if there are some options or suggestions for this project that uses OMR or a source code that is available.

Thanks.

Hi folks,

If you heard anything about Optical Character Recognition (OCR) i.e. the process of extraction and conversion of handwritten or typed text from image, video, or scanned files, this article is for you. It goes into how OCR works and what problems it solves. Let's see how it's tied to computer vision and pattern recognition.

So the images I'm going to work with are super high quality, and I need to create my own ocr for this. All the text is going to be how the text is in a google doc. The fonts will be very similar to teach other, there may be underscores, or underlines, but otherwise the images will be super high quality. What would the best models/libraries/frameworks for this be?

For people who don't know what ocr is, its recognizing text in an image.

Even businesses that are heavily tech-oriented don’t need to know all the tiny details of the technology they’re adopting.

But knowing more always helps, right?

A lot of companies take Intelligent Document Processing(IDP) just as a repackaged version of Optical Character Recognition (OCR). This understanding hurts them when they choose a data extraction solution that isn’t a good fit for their use-case because of the limited understanding of different models. Almost 30% of businesses get rid of the automated data extraction solution adopted because it was not designed for them in the first place.

I've made yet another tracker/companion/calculator app lol. I'm using it myself and there are few things that you might enjoy too:

• You can autofill all objectives and ghost's info just by pointing the camera at the whiteboard

• It has very clean design (light and dark mode) and feels smooth and native

• You can exclude the evidence with longtap

https://apps.apple.com/us/app/phasmotracker-for-phasmophobia/id1568000282

I want to move from Optical to HDMI Arc so I can get 5.1 Surround rather than stereo. I know Optical supports 5.1 but for some reason, my Samsung TV sticks to stereo even though it can support Dolby Digital and DTS and this isn't a problem with the Receiver cause it supports 5.1 and 7.1 and formats like TrueHD and DTS-HD MA.

The main reason I haven't changed this sooner is cause my Dad prefers listening to music more than watching movies and I prefer watching movies over music. So I'm trying to find a middle ground where both of us can enjoy both without compromising in audio quality.

The main reason my dad doesn't want to change is that he said Optical already can play Lossless Stereo and it has less interference compared to HDMI.

Hey there, so I am currently using an OCR to recognize characters of different texts but am currently analyzing a bilingual dictionary. My OCR model can't seem to analyze any of the IPA phonetic characters. I am using Tesseract OCR and have also tried Cloud Vision API. Are there any pre-trained models or existing software that can accomplish this?

To use the bot put u/RecognizeSong in your comment with the link to the song/music.

• Note that the bot only works with a recording of the actual song, not a humming/recreation.
• Some of the sites that the bot works with: Reddit video posts (see note below), Vocaroo, Streamable, Imgur, Twitter, Coub, Dropbox, Snapchat
• Some sites that the bot doesn't work with: Facebook, Instagram, Twitch VODs (not clips), SoundCloud, Google Drive
• For video posts you can call the bot in a comment on the original post (or if you're able to get the v.redd.it url of that post then you can call the bot here with that link in your comment. Note that it doesn't work for text posts with embedded videos in them.)
• When needed, mention a timestamp or use a timestamped link if possible (the bot scans about 24-30 seconds of audio, starting at the timestamp)
• If the song is from a meme or from TikTok then it might be listed in the FAQ

If you find the bot useful please consider supporting it through Patreon.

Good luck with your search! :)

The aim of this project is to develop a sheet music reader. This is called Optical Music Recognition (OMR). Its objective is to convert sheet music to a machine-readable version. We take a simplified version where we convert an image of sheet music to a textual representation that can be further processed to produce midi files or audio files like wav or mp3.

GitHub: https://github.com/aashrafh/Mozart

The aim of this project is to develop a sheet music reader. This is called Optical Music Recognition (OMR). Its objective is to convert sheet music to a machine-readable version. We take a simplified version where we convert an image of sheet music to a textual representation that can be further processed to produce midi files or audio files like wav or mp3.

GitHub: https://github.com/aashrafh/Mozart

https://preview.redd.it/1rrbhmxyo3b61.png?width=652&format=png&auto=webp&s=673135f3b3b65e2c1cadea8c1c37ac5e5bfedfdd

Even businesses that are heavily tech-oriented don’t need to know all the tiny details of the technology they’re adopting.

But knowing more always helps, right?

A lot of companies take Intelligent Document Processing(IDP) just as a repackaged version of Optical Character Recognition (OCR). This understanding hurts them when they choose a data extraction solution that isn’t a good fit for their use-case because of the limited understanding of different models. Almost 30% of businesses get rid of the automated data extraction solution adopted because it was not designed for them in the first place.

This article discusses Intelligent Document Processing(IDP) from different angles and perspectives and helps you determine whether it is a good fit for your business requirements -

https://docsumo.com/blog/intelligent-document-processing-idp