AI-ENC uses artificial intelligence algorithms to filter out background noise during calls, improving voice clarity even in changing noise environments. It adapts in real-time to different sound patterns, making it ideal for travel and outdoor usage.

How does ENC differ from AI-ENC?

ENC uses fixed algorithms to reduce ambient noise captured by microphones, mainly for call quality. AI-ENC builds on this by using AI models that adapt to various noise types and provide smarter voice isolation, offering better performance in unpredictable environments.

Is PNC effective for noise cancellation?

PNC (Passive Noise Cancellation) is effective in reducing higher-frequency ambient sounds by physically blocking noise through earcup or ear-tip design. It doesn't use electronic processing, so it consumes no power but is less effective in extremely noisy environments compared to AI-ENC or ENC.

Which is Better AI-ENC, ENC or PNC?

Q: Which is better: AI-ENC, ENC, or PNC?

AI-ENC (Artificial Intelligence Environmental Noise Cancellation) is generally better for dynamic noise environments as it uses machine learning to intelligently separate human voice from background noise. ENC (Environmental Noise Cancellation) is good for voice call clarity, especially in moderately noisy environments, while PNC (Passive Noise Cancellation) is effective for blocking out consistent ambient noise using physical barriers without consuming battery. The best choice depends on the use case: AI-ENC for adaptive suppression, ENC for basic call quality, and PNC for passive isolation during music playback.

AI-ENC vs ENC vs PNC: Which Noise Cancellation is Better?

When choosing earbuds or headsets, understanding the type of noise cancellation is crucial. Each technology—AI-ENC, ENC, and PNC—works differently and serves distinct purposes based on use case, environment, and performance requirements.

Types of Noise Cancellation Technologies

Passive Noise Cancellation (PNC)

PNC relies on physical barriers—like earbud tips and over-ear padding—to block out ambient noise. It doesn’t involve any electronic processing.
- Mechanism: Creates a seal in or around the ear to physically block outside sound.
- Characteristics:
  - Noise Reduction Level: Moderate, mainly in high-frequency ranges.
  - Power Use: No battery or processing required.
- Consideration: Most effective when combined with a snug fit and high-quality materials.
Environmental Noise Cancellation (ENC)

ENC focuses on reducing background noise picked up by microphones during calls. It's often used in TWS earbuds and headsets to improve voice clarity.
- Mechanism: Uses dual-mic arrays to detect external noise and isolate the speaker’s voice.
- Characteristics:
  - Noise Reduction Level: Moderate, optimized for call clarity.
  - Power Use: Minimal battery usage.
- Consideration: Does not actively reduce noise for the listener—only filters the mic input.
AI-Environmental Noise Cancellation (AI-ENC)

AI-ENC leverages machine learning algorithms to intelligently detect and suppress unwanted noise during calls and sometimes during media playback.
- Mechanism: Trained AI models process sound input in real-time, separating human voice from environmental noise.
- Characteristics:
  - Noise Reduction Level: High, especially in dynamic and complex environments.
  - Power Use: Moderate to high processing load.
- Consideration: Performance depends on the quality of the AI model and chip processing capabilities.

Comparison Table

Technology	Noise Reduction	Best For	Pros	Cons
PNC	Basic (Physical only)	Music listening, budget earbuds	Battery-free, no latency	Less effective in noisy environments
ENC	Moderate (Voice isolation)	Voice calls	Improves call clarity, low power use	Doesn’t reduce noise for the listener
AI-ENC	High (Adaptive and intelligent)	Business calls, travel, dynamic use	Superior background noise suppression	More battery consumption, dependent on AI quality

Conclusion

If your priority is blocking environmental noise during calls, especially in unpredictable or loud settings, AI-ENC offers the best performance. For general voice call clarity in quieter environments, ENC suffices. For passive sound isolation and music listening, especially in-ear form factors, PNC is a reliable low-power choice.