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What is Noise Reduction?

What is Noise Reduction?

Noise reduction, also known as active noise control or cancellation, has become a part of everyday life. It helps achieve clear communication in a nowadays noisy world. Unwanted sounds disrupt meetings and audio quality. Whether you want to improve productivity, focus better on tasks, or protect your privacy at home, noise cancellation allows anyone to change how they communicate, online or not.

You will find everything about noise reduction concepts and technology in this article.

What is Noise Reduction?

As the term suggests, noise reduction removes unwanted sounds from audio signals. It involves analyzing the data and selectively suppressing noise components to produce more apparent sound output. This technique can be beneficial in situations where background noise or interference may affect the overall quality of the audio recording or playback. Unwanted noises echoes, and ambient distractions can hamper real-time communication quality. For example, during a video conference at work or a consultation with a doctor.

Noise cancellation can be achieved through various technologies that cater to different needs. Whether you want to reduce noise in a crowded place or remove background sounds or voices from a recording, digital tools or software can help you achieve your goal.

How does noise reduction work?

Noise reduction works by analyzing the audio signal and identifying unwanted noise components. Once the noise is identified, algorithms are applied to suppress or remove it from the audio signal, resulting in a cleaner and clearer sound. These algorithms can be based on various techniques, such as spectral subtraction, adaptive filtering, or statistical modeling, to effectively reduce the impact of noise on the desired audio content.

Noise reduction techniques can be implemented in real-time using digital signal processing algorithms, effectively improving the quality and clarity of the audio. Nevertheless, some very efficient methods do not involve digital signal processing algorithms.

There are two main types of noise reduction: active and passive. Active noise cancellation completely eliminates sound, while passive noise canceling muffles sound physical.

noise reduction earphones

Active Noise Reduction

When people mention noise reduction, they usually mean active noise canceling (ANC). This requires electronics, hence a power source, and, sometimes, software. This latter sends sound waves to counteract unwanted noise and allows listeners to enjoy audio content without disturbance from external sounds like chatter or traffic.

One of the most common types of active noise cancellation involves using speakers and microphones to reduce surrounding noise. This method is widely used in over-ear headphones and similar digital signal processing systems.

Passive Noise Reduction

Passive noise cancellation uses materials that isolate noise, such as insulation, sound-absorbing tiles, or mufflers that can be used alongside recording equipment.

This noise control method is most effective with higher frequencies or for a quick solution. Some common types of passive noise cancellation are headphones or earphones with noise-sealing ear cups.

Adaptive Noise Reduction

Adaptive noise canceling, a rising active noise reduction technology, uses machine learning and hybrid detection to surveil signals inside and outside headphones.

This advanced noise cancellation technology adjusts the sound based on your surroundings. Adaptive noise cancellation detects the noise level in your environment and lowers it to help you stay aware of your surroundings in places like traffic or chatters at the office.

AI Noise Suppression

AI noise suppression technology enhances audio quality by reducing background noise through advanced algorithms. This technique separates noise from desired audio signals by analyzing spectral and temporal characteristics. It has several steps: audio input, noise identification, noise modeling, noise removal, and output enhancement.

One excellent provider using AI noise suppression for audio video RTC solutions is ZEGOCLOUD. This vendor empowers developers to remove background noise with advanced 3A technologies for optimal audio processing and enhancement.

Benefits of Reducing Noise within Audio and Video

Advantages include improved clarity and understanding of the content being presented. By reducing noise, listeners and viewers can focus more easily on the intended message without being distracted by unwanted sounds or visual disturbances. Additionally, reducing noise enhances the overall quality of the audio or video production, resulting in a more professional and enjoyable experience for the audience.

Manual noise reduction post-processing is time-consuming, but today, many noise suppression software and apps are available that automatically improve the auditory experience. Automated filters offer results on par with manual processing, if not better. This saves time, streamlines workflows, and provides the audience a more professional, accurate sound.

In real-time communication scenarios targeting unwanted noise in audio and video is paramount. It helps maintain real-time communication flow by reducing unexpected noises and echoes. It also avoids noise distortion due to hardware issues or multiple speakers talking over each other. Moreover, it ensures more professional productions with high-quality audio and video that positively impact the audience.

To summarise, noise reduction within video and audio results in the following:

  1. Improved sound quality
  2. Enhanced focus on content
  3. Increased intelligibility
  4. Enhanced communication
  5. Increased viewer engagement
  6. Saves time and costs of audio post-processing
zegocloud sdk

How to Reduce Noise in Audio and Video

As we have seen, there are several effective methods to reduce noise in audio and video recordings. One common approach is noise reduction software or plugins, which can analyze the audio or video file and remove unwanted background noise. Additionally, high-quality microphones or cameras with built-in noise-cancellation features can help capture cleaner audio and video, minimizing the need for extensive post-processing.

To understand how noise is reduced in audio and video settings, we refer to ZEGOCLOUD’s Express Audio SDK solution, which allows for eliminating background noise from audio recordings. This ground-breaking SDK offers an easy solution and is free to use. With ZEGOCLOUD, it is possible to incorporate sophisticated background noise removal features into digital products and applications to produce audio of the highest caliber.

ZEGOCLOUD’s advanced 3A technologies ensure optimal sound performance. In particular:

  • Acoustic Echo Cancellation (AEC) eliminates unwanted echoes
  • Automatic Gain Control (AGC) balances volume levels
  • Active Noise Cancellation (ANC) cancels ambient noise for improved audio quality.

The vendor also supports headphone monitoring and stereo.

If you want to learn how to integrate the Express Audio SDK, follow the step-by-step guides in the articles below and learn how to remove unwanted noises from audio and video with ZEGOCLOUD seamlessly.

Read more:

How to remove background noise from audio

How to remove background noise from video

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