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-# song-recognition
-My repliction of Shazam's song matching algorithm.
+<h1 align="center">NotShazam :musical_note:</h1>
+
+[NotShazam](https://notshazam.vercel.app/) is an implementation of Shazam's song recognition algorithm based on insights from these resources. It integrates Spotify and YouTube APIs to find and download songs from the internet.
+
+## Current Limitations
+While the algorithm works excellently in matching a song with the exact song file, it performs poorly in finding the right match from a song recording.
+However, this is still a work in progress. Hopefully, I can get it to work. I could use some help though.
+Additionally, it only supports song files in WAV format.
+
+## Installation
+### Prerequisites
+- Golang: [Install Golang](https://golang.org/dl/)
+- FFmpeg: [Install FFmpeg](https://ffmpeg.org/download.html)
+- NPM: To run the client (frontend).
+
+### Steps
+Clone the repository:
+```
+git clone https://github.com/cgzirim/song-recognition.git
+```
+Install dependencies for the backend
+```
+cd song-recognition
+go get ./...
+```
+Install dependencies for the client
+```
+cd song-recognition/client
+npm install
+```
+
+## Usage
+Start the Client App
+```
+npm start
+```
+Serve the Backend App
+```
+go run main.go serve [-proto <http|https>] [-port <port number>]
+```
+Download a Song
+```
+go run main.go download <https://open.spotify.com/.../...>
+```
+Find matches for a song/recording
+```
+go run main.go find <path-to-wav-file>
+```
+
+### Example
+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: 856ms
+
+Final prediction: Voilà by André Rieu , score: 5390686.00
+```
+## Resources
+- [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/)
+
+