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Here's how to What This (your) Song is.

i. Identifying a song online can be easy or challenging depending on how much information you have about the song. If you have the song playing, saved, or in your memory, you can use different methods to find out its name and artist.

Some of the methods you can use are:

- **Using music listening programs and music recognition apps** that can hear the song and name it. For example, you can use Shazam, SoundHound, or Google on your smartphone, PC, or tablet. These apps can also show you the lyrics, videos, and other information about the song.
- **Typing the lyrics into a search engine** like Google if you know them exactly. This can help you find the song title and artist, as well as other websites that have the lyrics. However, this method may not work if the lyrics are too common or vague.
- **Humming, whistling, or singing the melody into the Google app** on your mobile device and saying "Search a song". Google will try to match your voice input with the most likely songs and let you listen and verify if it's the one. This method works best if you can hum or sing clearly and accurately.
- **Tapping the rhythm of the song on your keyboard** and using websites that offer rhythm tapping service. For example, you can use SongTapper to tap the spacebar along with the beat of the song and see if it can identify it. This method works best if you can tap consistently and remember the rhythm well.

ii. Song identifier apps work by using a process called audio fingerprinting. This process involves converting a song into a unique digital fingerprint that can be used to identify it. The fingerprint is created by analyzing the frequency and amplitude of the song's audio signal.

When you use a song identifier app, it will listen to a few seconds of the song you are trying to identify and create a fingerprint of that song. The app will then compare the fingerprint to a database of fingerprints of known songs. If there is a match, the app will identify the song and display the results.

The accuracy of song identifier apps depends on the size and quality of the database of fingerprints. The larger the database, the more likely it is that the app will be able to identify the song you are trying to identify. The quality of the fingerprints also matters. If the fingerprints are not accurate, the app may not be able to identify the song correctly.

iii. Audio fingerprinting is a process of converting an audio signal into a unique digital fingerprint that can be used to identify it. The fingerprint is created by analyzing the frequency and amplitude of the audio signal.

The frequency of a sound wave is the number of times it vibrates per second. The amplitude of a sound wave is the height of the wave. The combination of frequency and amplitude creates the unique sound of a particular song.

Audio fingerprinting algorithms use a variety of techniques to extract the frequency and amplitude information from an audio signal. These techniques include:

* **Windowing:** The audio signal is divided into small segments, called windows.
* **FFT:** The Fast Fourier Transform (FFT) is used to convert the windows into a frequency domain representation.
* **Feature extraction:** The frequency domain representation is then used to extract features that are characteristic of the audio signal.
* **Hashing:** The features are then hashed to create a unique digital fingerprint.

The digital fingerprint is a short, fixed-length string of bits that uniquely identifies the audio signal. The fingerprint can be used to identify the audio signal even if it is played at a different speed or pitch.

Audio fingerprinting is used in a variety of applications, including:

* **Song identification:** Song identifier apps use audio fingerprinting to identify songs that are playing in the background.
* **Broadcast monitoring:** Audio fingerprinting can be used to monitor the use of copyrighted music on radio and television broadcasts.
* **Content-based audio retrieval:** Audio fingerprinting can be used to search for audio files that match a particular criteria, such as genre or artist.

Audio fingerprinting is a powerful tool that can be used to identify, monitor, and retrieve audio files. It is a valuable tool for a variety of applications.

Here are some additional benefits of audio fingerprinting:

* **It is robust to noise and distortion.** Audio fingerprinting algorithms are designed to be robust to noise and distortion, which means that they can still identify audio signals that are played in noisy environments or that have been compressed or degraded.
* **It is efficient.** Audio fingerprinting algorithms are typically very efficient, which means that they can identify audio signals quickly and without consuming a lot of resources.
* **It is scalable.**

Learn more@ https://www.youtube.com/c/ITGuides/search?query=Song.