SeekTune :musical_note:
Demo in Video
## Description 🎼
SeekTune is an implementation of Shazam's song recognition algorithm based on insights from these [resources](#resources--card_file_box). It integrates Spotify and YouTube APIs to find and download songs.
[//]: # (## Current Limitations
While the algorithm works excellently in matching a song with its exact file, it doesn't always find the right match from a recording. However, this project is still a work in progress. I'm hopeful about making it work, but I could definitely use some help :slightly_smiling_face:.
Additionally, it currently only supports song files in WAV format.
)
## Installation :desktop_computer:
### Prerequisites
- Golang: [Install Golang](https://golang.org/dl/)
- FFmpeg: [Install FFmpeg](https://ffmpeg.org/download.html)
- MongoDB: [Install MongoDB](https://www.mongodb.com/docs/manual/installation/)
- NPM: To run the client (frontend).
### Steps
Clone the repository:
```
git clone https://github.com/cgzirim/seek-tune.git
```
Install dependencies for the backend
```
cd seek-tune
go get ./...
```
Install dependencies for the client
```
cd seek-tune/client
npm install
```
## Usage :bicyclist:
#### ▸ Setup MongoDB 🍃
To configure the database connection, you need to set the following environment variables:
- `DB_USER`: The username for the MongoDB database.
- `DB_PASS`: The password for the MongoDB database.
- `DB_NAME`: The name of the MongoDB database.
- `DB_HOST`: The host address of the MongoDB database.
- `DB_PORT`: The port number of the MongoDB database.
The database connection URI is constructed using the environment variables.
If the `DB_USER` or `DB_PASS` environment variables are not set, it defaults to connecting to `mongodb://localhost:27017`.
#### ▸ Start the Client App 🏃♀️➡️
```
cd client
npm start
```
#### ▸ Start the Backend App 🏃♀️
```
cd .. # to go to the root dir
go run main.go serve [-proto (default: http)] [-port (default: 5000)]
```
#### ▸ Download a Song 📥
Note: A link from Spotify's mobile app won't work. You can copy the link from either the desktop or web app.
```
go run main.go download
```
#### ▸ Save local songs to DB (supports all audio formats) 💾
```
go run main.go save [-f|--force]
```
The `-f` or `--force` flag allows saving the song even if a YouTube ID is not found. Note that the frontend will not display matches without a YouTube ID.
#### ▸ Find matches for a song/recording 🔎
```
go run main.go find
```
#### ▸ Delete fingerprints and songs 🗑️
```
go run main.go erase
```
## Example :film_projector:
Download a song
```
$ go run main.go download https://open.spotify.com/track/4pqwGuGu34g8KtfN8LDGZm?si=b3180b3d61084018
Getting track info...
Now, downloading track...
Fingerprints saved in MongoDB successfully
'Voilà' by 'André Rieu' was downloaded
Total tracks downloaded: 1
```
Find matches of a song
```
$ go run main.go find songs/Voilà\ -\ André\ Rieu.wav
Top 20 matches:
- Voilà by André Rieu, score: 5390686.00
- I Am a Child of God by One Voice Children's Choir, score: 2539.00
- I Have A Dream by ABBA, score: 2428.00
- SOS by ABBA, score: 2327.00
- Sweet Dreams (Are Made of This) - Remastered by Eurythmics, score: 2213.00
- The Winner Takes It All by ABBA, score: 2094.00
- Sleigh Ride by One Voice Children's Choir, score: 2091.00
- Believe by Cher, score: 2089.00
- Knowing Me, Knowing You by ABBA, score: 1958.00
- Gimme! Gimme! Gimme! (A Man After Midnight) by ABBA, score: 1941.00
- Take A Chance On Me by ABBA, score: 1932.00
- Don't Stop Me Now - Remastered 2011 by Queen, score: 1892.00
- I Do, I Do, I Do, I Do, I Do by ABBA, score: 1853.00
- Everywhere - 2017 Remaster by Fleetwood Mac, score: 1779.00
- You Will Be Found by One Voice Children's Choir, score: 1664.00
- J'Imagine by One Voice Children's Choir, score: 1658.00
- When You Believe by One Voice Children's Choir, score: 1629.00
- When Love Was Born by One Voice Children's Choir, score: 1484.00
- Don't Stop Believin' (2022 Remaster) by Journey, score: 1465.00
- Lay All Your Love On Me by ABBA, score: 1436.00
Search took: 856.386557ms
Final prediction: Voilà by André Rieu , score: 5390686.00
```
## Resources :card_file_box:
- [How does Shazam work - Coding Geek](https://drive.google.com/file/d/1ahyCTXBAZiuni6RTzHzLoOwwfTRFaU-C/view) (main resource)
- [Song recognition using audio fingerprinting](https://hajim.rochester.edu/ece/sites/zduan/teaching/ece472/projects/2019/AudioFingerprinting.pdf)
- [How does Shazam work - Toptal](https://www.toptal.com/algorithms/shazam-it-music-processing-fingerprinting-and-recognition)
- [Creating Shazam in Java](https://www.royvanrijn.com/blog/2010/06/creating-shazam-in-java/)
## Todo
- [x] Implement saving local songs to DB
- [ ] Add support for file-based DB as an alternative to MongoDB.
## Author :black_nib:
- Chigozirim Igweamaka
- Check out my other [GitHub](https://github.com/cgzirim) projects.
- Connect with me on [LinkedIn](https://www.linkedin.com/in/chigozirim-igweamaka/).
- Follow me on [Twitter](https://twitter.com/cgzirim).
## License :lock:
This project is licensed under the MIT License - see the [LICENSE](./LICENSE) file for details.