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Sample invention · Audio Signal Processing

A headset that uses an on-device ML model to classify ambient environment type (office, transit, outdoor) and adaptively adjusts ANC parameters in real-time, with separate per-speaker voice isolation processed entirely on-chip.

active noise cancellationadaptive feedbackmachine learning audioheadset noise suppressionenvironmental sound classification

62%

Partial Overlap

1 novel · 1 adjacent · 1 blocked

Novel1
Adjacent1
Blocked1

Claim-by-Claim Analysis

3 claims

Context-aware ANC using environmental classification ML model

Bose holds a granted patent covering exactly this feature: on-device neural network environment classification driving ANC parameter adjustment. This claim is blocked as-written.

US11,462,200B2 · Adaptive Active Noise Cancellation with Environmental Context Detection

Dual-layer adaptive feedback loop with <3 ms latency

Sony's patent covers a sub-3 ms feedback loop using analog prediction. Your "dual-layer" framing is not in their claims, which creates design room, but the latency threshold overlaps. You may be able to distinguish on the dual-layer architecture.

US9,818,399B2 · Low-Latency Feedback ANC System for Personal Audio Devices

Per-speaker voice isolation without cloud processing

Apple's beamforming patent covers on-device isolation via beamforming arrays, which is mechanistically different from your approach (speaker embeddings without beamforming). No granted claim appears to block on-device embedding-based isolation using a single microphone capsule.

Prior Art Found

3 patents

Adaptive Active Noise Cancellation with Environmental Context Detection

US11,462,200B2

Methods and systems for active noise cancellation that adjust cancellation parameters based on detected environmental context using a neural network classifier trained on ambient audio.

Bose Corporation·Filed 2019·Direct overlap on environment-classification-driven ANC.

Voice Isolation in Multi-Speaker Environments Using Beamforming Arrays

US10,867,601B1

System for isolating individual speaker audio from a multi-speaker input using adaptive beamforming and speaker embedding models running on embedded DSP hardware.

Apple Inc.·Filed 2018·Adjacent: overlaps on on-device speaker isolation, different beamforming approach.

Low-Latency Feedback ANC System for Personal Audio Devices

US9,818,399B2

Feedback-based active noise cancellation architecture achieving sub-5 ms end-to-end latency through dedicated analog front-end and prediction-based filter coefficient update.

Sony Corporation·Filed 2015·Overlap on dual-layer feedback and <3 ms latency claims.

Recommended Next Step

Consult a patent attorney to design around US11,462,200B2 before filing

With a 62% novelty score and one hard-blocked claim, you have a partial case worth pursuing, but the Bose ANC classification patent must be addressed first. An attorney can assess whether a design-around (e.g. rule-based heuristics instead of ML, or a different sensor modality) is feasible, or whether a licensing approach makes sense. The remaining two claims are defensible.

Questions to ask your attorney

Is a rule-based ambient classifier (no neural network) sufficient to design around US11,462,200B2?
Can we claim the dual-layer feedback architecture distinctly from Sony's US9,818,399B2?
What is the filing cost for a provisional patent focused on the speaker isolation claim only?

Estimated cost: $300–$700 for a one-hour prior-art opinion from a patent attorney

Confidence: 78% · High

  • USPTO API search limited to granted patents; pending applications may also be relevant.
  • Latency threshold (<3 ms) similarity should be verified with an engineer familiar with the architecture.

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