Beat-Detector

• This is a C\C++ and Python program that detects bass, claps, and hi-hats in music. Works well with hip-hop, rap, and party music.
• Download and Run the Beat_Tracking.exe to use the application. Windows Only

Usage

• "Beat_Detector_No_Video.py" - Opens mic and prints what type of beat was detected in the terminal.
• "Beat_Detector_With_Video.py" - Opens mic, prints the type of beat that was detected, creates frames and fills Frames_FFT folder, then creates and adds the no audio video, with audio video, and .wav file to the Videos folder. These videos are the FFT ENERGY spectrum (blue) as the song is played WITH the orange-colored thresholds for beats in a certain frequency band.
• "Beat_Tracking.cpp" - Compile and download with ./build.sh command. CREDIT TO Rhys Byers for helping develop the GUI for the light room experience.
• "Beat_Tracking.exe" - Pre-complied and standalone executable. Run it for the GUI light room experience.
• "Light_Room.py" - Opens mic, creates GUI, click start to run the beat detection and flash lights on screen to the beat.
• "Lyric_Room.py" - Opens mic, creates GUI, you play a song from Spotify, then click start to run the beat detection and synched lyrics. Note that the program will try to find the lyrics. If not the program simply does not display them. Also, you need to register your app on Spotify then go to the dashboard and get the client_id, client_secret, and find your username.
• "Drake_Gods_Plan.mkv" - Video example of the "Lyric_Room.py" using the song "God's Plan" by Drake. This displays green hihats, blue bass, and orange claps with synched lyrics. NOTE: Framerate seems to degrade later in the video :(.
• "Key_Glock_Penny.mkv" - Video example of "Beat_Tracking.exe" using the song "Penny" by Key Glock. This displays the fading effect of light blue bass, orange claps, and dim hihats.
• build.sh - The shell script for compiling "Beat_Tracking.cpp" with the necessary dependencies. See Dependencies below.
• "filterSongs.py" - Used to find which songs have searchable lyrics assuming a format like "ARTIST_NAMES - SONG_NAME".
• "getUserTracks.py" - Used to fetch all the songs in one's Spotify library. Make sure to set up the app in Spotify to get the client_id, client_secret, and find your username.
• Adjust Parameters and Colors as Desired

Dependencies (For each File)

• "Beat_Detector_No_Video.py" - pyaudio, numpy.
• "Beat_Detector_With_Video.py" - pyaudio, numpy, matplotlib.pyplot, OpenCV, wave.
• "Beat_Tracking.cpp" - portaudio.h, fftw3.h. These will automatically downloaded and complied with the command `./build.sh'.
• "Light_Room.py" - pyaudio, numpy, tkinter
• "Lyric_Room.py" - pyaudio, numpy, tkinter, spotipy, synchedlyrics.
• "filterSongs.py" - synchedlyrics.
• "getUserTracks.py" - spotipy

Parameters

• RATE = 94618

• CHUNK_SIZE = 2048

• HISTORY_SECONDS = 1

• CLAP_RANGE_LOW = 11

• HIHAT_RANGE_LOW = 27

• TOTAL_SUB_BANDS = 39 # Each sub band is a range of 5 * frequency resolution. it is ~230Hz wide and there are 39 of these

Set the parameters for the GUI

• PROVIDER = ["MusixMatch", "NetEase"]
• FONT = "Kristen ITC"

Calm Pink Type Colors

BASS_COLOR = "#0000FF" CLAP_COLOR = "#FF6FFF" HIHAT_COLOR = "#882888"

Hype type colors

• BASS_COLOR = "#FF0000"
• CLAP_COLOR = "#FFFF00"
• HIHAT_COLOR = "#882888"

Party/Club type colors

• BASS_COLOR = "#89CFEF"

• CLAP_COLOR = "#FFFF00"

• HIHAT_COLOR = "#882888"

• LABEL_FG_NO_COLOR = "#FF0000"

• LABEL_FG_COLOR = "#FFFFFF"

Note

Please make sure that all the folders are present together with the video Python file to run.