in involves the conversion of an , with its varied s and frequencies, into a digital format that can be stored and manipulated. The audio signal, in its raw form, is represented as a that captures the changes in amplitude over time. To achieve this conversion, several key parameters are considered.
, also referred to as the sample rate, determines the number of samples taken from the audio signal per second. It is measured in hertz (Hz) and impacts the fidelity of the digital audio representation. The more samples taken, the more accurately the waveform can be reconstructed.
, on the other hand, determines the resolution or the level of detail in the digital representation. It refers to the number of bits used to represent the amplitude of each sample. A higher bit depth allows for a greater dynamic range and more precise representation of the original analog audio signal.
To perform the , various types of microphones are utilized. A utilizes to polarize a charged , which dynamically translates sound waves into an electrical signal. It is favored for its sensitivity and ability to capture a wide response.
In contrast, a utilizes electromagnetic induction as sound waves cause a diaphragm to vibrate within a magnetic field, generating an electrical signal. It is known for its durability and suitability for capturing sound in high-volume environments.
The captured sound's , an important characteristic of both microphones, refers to their ability to accurately reproduce different frequencies across the audible range. This measurement ensures that the microphones can capture the entire range of human hearing without distortion or attenuations.
Keywords
sound representation | audio signal | bit depth | waveform | diaphragm | analog-to-digital conversion | amplitude | frequency response | frequency | digital audio | sampling rate | dynamic microphone | condenser microphone | phantom power |
