ANC, ENC, and AI noise cancellation are often listed together in headset specifications, but they address different noise problems.
ANC (Active Noise Cancellation): reduces external noise heard by the user.
ENC (Environmental Noise Cancellation): reduces background noise picked up by the microphone.
AI Noise Cancellation: uses voice-recognition algorithms to suppress complex background noise.
The choice should be based on the application, not the feature name.
ANC vs ENC vs AI Noise Cancellation
| Technology | Main Function | Target | Typical Application |
| ANC | Reduces ambient noise | User’s hearing | Open offices, travel |
| ENC | Suppresses background noise | Microphone | Call centers, business calls |
| AI Noise Cancellation | Separates speech from complex noise | Microphone | Home office, hybrid work |
| Passive Noise Reduction | Blocks external sound physically | User’s hearing | Call centers, basic office use |
ANC = noise reduction for the user
ENC = noise reduction for the microphone
AI Noise Cancellation = advanced microphone noise suppression
ANC and ENC/AI noise cancellation can be used together.
What Is ANC?
Active Noise Cancellation (ANC) uses microphones, signal processing, and speakers to reduce external noise.
The system detects ambient noise and generates an inverse signal to reduce it.
ANC performs best with continuous, low-frequency noise:
Air conditioning
Fans
Traffic
Train and aircraft noise
Mechanical noise
It is less effective against nearby speech and sudden sounds.
For office users, ANC is mainly used to reduce listening distractions.
See[ Why Is Noise Cancellation Important for Office Headsets?]
What Is ENC?
Environmental Noise Cancellation (ENC) processes the microphone signal.
A typical ENC system uses multiple microphones and DSP to distinguish the user’s voice from surrounding noise.
Common noise sources include:
Keyboard typing
Nearby conversations
Printer noise
Fan noise
Air conditioning
ENC is widely used in office headsets, UC headsets, and call center headsets.
For business communication, microphone noise suppression is often more important than ANC.
See [10 Practical Tips to Improve Call Clarity in Noisy Environments]
What Is AI Noise Cancellation?
AI noise cancellation uses trained audio models to distinguish speech from background sounds.
Compared with conventional noise suppression, AI-based processing can handle a wider range of changing noise, including:
Multiple voices
Keyboard sounds
Pets
Children
Traffic
Household appliances
It is useful for home offices, hybrid work, and other uncontrolled environments.
However, AI processing is only one part of the system. Microphone design, acoustic structure, DSP, and tuning all affect the final result.
See [How AI Noise Cancellation Works in Modern UC Headsets]
ANC vs ENC vs AI Noise Cancellation: Key Differences
| Parameter | ANC | ENC | AI Noise Cancellation |
| Processing target | Ambient sound | Microphone signal | Microphone signal |
| Main purpose | Reduce noise heard by user | Improve call clarity | Suppress complex background noise |
| Typical noise | Continuous ambient noise | Office background noise | Variable and mixed noise |
| Main application | Office, travel | Call center, meetings | Home office, hybrid work |
| Canbe combined | Yes | Yes | Yes |
The basic system architecture is different:
ANC → microphone → DSP → speaker
ENC → microphones → DSP → microphone output
AI Noise Cancellation → microphones → AI/DSP processing → microphone output
Which Technology Is Best for Different Applications?
Call Centers
Recommended: ENC + Passive Noise Reduction
Call center headsets typically prioritize:
Voice clarity
Comfort
Durability
Cost
Easy maintenance
ANC is not essential for every call center application.
For QD solutions, see [What Is a QD Headset and How Does It Work?]
Open-Plan Offices
Recommended: ANC + ENC
ANC reduces surrounding noise for the user.
ENC reduces office noise picked up by the microphone.
Using both addresses the listening and communication sides.
Home Offices
Recommended: ENC or AI Noise Cancellation
Home environments often include unpredictable noise from people, pets, appliances, and traffic.
ENC is suitable for standard applications. AI noise cancellation is useful when background noise is more variable.
Business Travel
Recommended: ANC + ENC
ANC handles continuous travel noise such as aircraft and train noise.
ENC improves voice transmission during calls.
Premium Enterprise Headsets
Recommended: ANC + advanced microphone noise cancellation
Higher-end business headsets can combine ANC with advanced microphone processing for both listening comfort and call clarity.
Does AI Noise Cancellation Replace ANC or ENC?
No.
The three technologies operate on different parts of the audio system.
ANC: reduces noise heard by the user.
ENC: reduces background noise in the microphone signal.
AI Noise Cancellation: applies advanced processing to the microphone signal.
AI noise cancellation can complement ENC and ANC rather than replace them.
What Should Buyers Check?
Do not evaluate a headset only by the words ANC, ENC, or AI on the specification sheet.
Microphone Configuration
Check:
Number of microphones
Microphone position
Pickup pattern
Boom design
Sensitivity
Microphone placement has a direct effect on voice pickup and noise suppression.
DSP and Algorithm
Evaluate:
Noise suppression
Voice clarity
Echo cancellation
Voice distortion
Processing stability
Aggressive noise reduction can also affect natural speech.
Acoustic Design
Speaker, microphone, ear cushion, acoustic cavity, and DSP tuning work as one system.
Two headsets using similar chipsets can produce different results because of differences in hardware and tuning.
See [UC Headset Acoustic Testing and Noise Cancellation Performance]
How Manufacturers Test Noise Cancellation
Noise cancellation should be tested under conditions close to the target application.
ANC Testing
Typical test sources:
Fan noise
Air conditioning
Traffic
Transportation noise
ENC Testing
Typical test sources:
Keyboard typing
Office conversations
Printer noise
Fan noise
AI Noise Cancellation Testing
More complex tests can include:
Multiple voices
Changing background noise
Sudden sounds
Speech mixed with environmental noise
The evaluation should cover microphone performance, acoustic design, DSP processing, and final voice quality.
Quick Selection Guide
| Application | Recommended Configuration |
| Call center | ENC + Passive Noise Reduction |
| Open-plan office | ANC + ENC |
| Home office | ENC / AI Noise Cancellation |
| Business travel | ANC + ENC |
| Premium enterprise headset | ANC + AI Noise Cancellation |
There is no universal configuration. Start with the noise source and communication requirement, then select the appropriate hardware and processing system.
FAQ
Q1.Is ANC better than ENC?
No. ANC reduces noise heard by the user. ENC reduces background noise in the microphone signal.
Q2. Is AI noise cancellation better than ENC?
Not necessarily. AI processing is useful for complex noise environments, while conventional ENC can meet the requirements of many office and call center applications.
Q3.Do office headsets need ANC and ENC?
Not always. Call center headsets may mainly require ENC. Open-office headsets can benefit from both.
Q4. Does AI noise cancellation replace ANC?
No. ANC and AI noise cancellation address different parts of the audio system.
Q5. What is the best noise cancellation for business headsets?
For calls, ENC is essential. ANC is useful when users need to reduce surrounding noise. AI noise cancellation is suitable for more complex environments.
Conclusion
ANC, ENC, and AI noise cancellation have different functions.
ANC reduces external noise for the user. ENC improves microphone voice clarity. AI noise cancellation handles more complex background noise through advanced audio processing.
For office headsets, UC headsets, and call center headsets, the configuration should match the working environment and product requirements.