TyMusicDB is a stand-alone freeware program which is able to recognize thousands of different musical pieces or other audio data in real-time. The main purpose of this program is to monitor a radio station, tv channel or other (streaming) audio source for specific songs, commercials or jingles. A log file is created with a detailed description of which songs were played when, and how long.

It should be noted that this is not a client software for an online service. The software will only identify songs that you have added to the database.

TyMusicDB is capable of identifying a song based on only a very small fragment of it - there is no need for the entire song to be played. It will recognize a song at any point. Instead of storing the entire audio data of a song, only a small file containing its digital fingerprint is stored and used for recognition. Songs can be imported from mp3 or wav files, or can be directly recorded from the audio source.

This program is free for private use. If you plan to use this software for commercial use, please contact the author at about the professional version supporting multiple channels, scripting and database logging, as well as SDKs.

The program does not come with any music or fingerprints included! You must create all fingerprints from your own music collection. If you want to test TyMusicDB and don't have any music on your PC, you can download the free sample music songs above. To generate the fingerprints, drag&drop the mp3 file onto the program or use the file-menu.

Any windows compatible recording device such as microphone, line in, TV or FM tuner can be used.

M G Zi Mi De Unde Esti Remix Page

Most TyMusicDB users use it to monitor a radio or tv channel in order to find out when and how often specific songs or commercials are broadcasted.

That will depend on what format an original recording is given. If you have an audio-file such as mp3 or wav, it can be directly added to the database (see file-menu or drag&drop the audio file). Mp3 files need to be 44Khz/16bit. Wave files can be 11KHz/22KHz/44KHz 16 bit. You can also directly add songs by recording them with a microphone.

To use this program, you need to

Extract or record fingerprints from audio data.
Load those fingerprints (see file-menu). The titles that appear on the Songlist are songs that are loaded in memory. Only those songs will be recognized.
Choose audio-in device (Options/Select sound device) and set parameters.
Activate channel.
Play music that is to be recognized.

The signal-bar will show you if there is any audio data coming from the currently selected audio device.

M G Zi Mi De Unde Esti Remix Page

To draft a post for the , here are a few options tailored for different platforms. This track is a popular reimagining of the classic 2004 hit by M&G featuring Mario. Option 1: Hype/Vibe (Best for Instagram/TikTok)

A total blast from the past with a fresh twist! 🔊 Just heard the remix for M&G’s "Zi-mi De Unde Esti." It takes me straight back to the Asalt Raggafonic days, but with a whole new energy. What do you think—better than the original? 👇

Mi De Unde Esti, Bambolina Deejay Killer Remix by cristinaa94 M G Zi Mi De Unde Esti Remix

Use the Deejay Killer Remix or the SoundCloud edit for that modern dancehall feel.

Share the YouTube Dancehall Mix or the Deejay Killer Extended version. Option 3: Short & Punchy (Best for X/Twitter) To draft a post for the , here

The "Zi-mi De Unde Esti" remix is the summer anthem we didn’t know we needed. 🌴🔥 Pure nostalgia mixed with heavy bass. Listen to the remix here. #NewMusic #Remix #MG Zi-mi de unde esti,Bambolina(Deejay Killer Remix)Extended

M&G X Carlas Dreams X Mario -Zi-mi de unde esti,Bambolina(Deejay Killer Remix)Extended by deejay Killer, released 20 January 2023. 🔊 Just heard the remix for M&G’s "Zi-mi De Unde Esti

#ZiMiDeUndeEsti #Remix #RomanianMusic #MandG #ThrowbackRemix #VibeCheck Option 2: Nostalgic (Best for Facebook)