Microphones Signal Combination TRIZ Cases

Real-time ambient sound is mixed with spoken system responses to make voice-command dialogue feel more natural and immersive.

Finger contact and seat sensing identify the speaker, then switch main and auxiliary microphones to improve in-vehicle voice recognition at lower cost.

Ceiling vibration speakers create separate sound zones for each seat, improving in-car audio quality and enabling real-time adjustment.

Seat-specific speech daemons separate cross-coupled in-car utterances so passengers can join or take over dialogs without disrupting speech recognition.

GPS and location metadata switch outside sound into the cabin only where needed, preserving noise blocking while keeping critical road sounds audible.

By vibrating seat-specific ceiling regions, this case creates independent in-vehicle sound zones with real-time control and lower cross-seat noise.

Manual switching links exterior microphones to cabin speakers only when needed, improving outside sound awareness without constant traffic noise.

Microphone-based edge analytics replaces camera counting to protect privacy, cut cloud processing, and adjust HVAC or staffing from sound patterns.

A microphone array, DOA analysis, and semantic audio scene modeling help a mobile robot navigate when lighting, cameras, or visibility fail.

Multiple microphones and frequency-band beamforming restore real-time directional ambient sound awareness in sealed earwearables.

Selective frequency-band suppression uses ambient noise sensing to contain seat-area audio leakage while preserving listening quality in noisy cabins.

Environmental noise guides frequency-band suppression around a seat enclosure, limiting sound leakage while keeping audio clear in transit cabins.

A transducer array and sensor feedback adjust bone- and cartilage-conducted tactile content to improve speech clarity and comfort.

Ambient microphones detect spoken keywords and lower audio content so isolated earphone users can hear nearby speech when it matters.

A dynamically configurable ANR circuit combines feedback and feedforward paths to widen noise cancellation while lowering power use and unwanted sound.

Internal and external mic transfer functions are used to offset ear occlusion, restoring natural voice sound in a worn headset.

Ambient microphones detect spoken keywords and trigger pass-through, preserving audio clarity while letting earphone users hear nearby commands.

A headset controller adjusts transducer actuation to limit unwanted tactile sensations from bone or cartilage conducted audio.

Dynamic ANR paths and filter settings switch with sound changes to balance noise cancellation, battery life, and unwanted artifacts.

Dynamic filter reconfiguration lets an ANR circuit widen noise cancellation range while cutting power use and limiting added noise.

Measured open- and closed-ear transfer functions let sealed headsets reduce muffled highs and boomy lows in the user's own voice.

Dual-ear microphones and adaptive filtering preserve real-world sound direction through closed earpieces while reducing occlusion distortion.

Primary and reference signals from left and right earpiece microphones enable adaptive noise subtraction for clearer speech pickup in noise.

Ambient microphones detect spoken keywords and reduce playback so earphone users can hear nearby speech or urgent alerts without manual switching.

Electrical measurements of a plugged-in headset let the audio port match output to sensitivity, keeping volume consistent and safe.

Measuring headset impedance, resistance, and resonance lets the audio port calibrate volume for consistent listening and safer sound levels.

A mirrored adaptive array uses anechoic test signals to derive equalizer weights that cut side interference without degrading desired speech.

A rotatable speaker casing switches acoustic interference arrays by gravity orientation to preserve surround sound from a single cabinet.

Equivalent circuit modeling equalizes microphone sensitivity responses to characterize unknown receptor units faster and with less testing.

Using three microphones plus analog switching and amplification, this case delivers cardioid, omni, stereo, and bidirectional pickup with lower complexity.

A dual pressure relief hole layout keeps earphone acoustic cavities breathing when sweat blocks one vent, reducing resistance and sound leakage.

Beamforming and occupant location sensing create separate in-vehicle audio zones, so passengers hear different content without headphones.

Multiple microphones on different camera surfaces improve rear-lens narration capture, stereo separation, and 360-degree audio.

Near-field sound classification, Wiener filtering, and beamforming reduce breathing noise while preserving speech clarity and spatial audio cues.

A first microphone flags a possible wake word, a second verifies it locally, cutting false triggers, delay, and privacy exposure.

Power spectrum equalization, gain, and delay tuning correct vehicle speaker asymmetry to improve sound image placement and spectral balance.

Near- and far-field microphone RIRs are matched to scene geometry to render realistic 6-DoF audio without exhaustive measurements.

Microphones and reference audio recordings are used to derive room impulse responses in real time for virtual sound positioning.

Proximity-triggered microphone activation captures speech onset, cuts crosstalk and compute load, and removes unwanted audio for privacy.

A second pressure relief hole keeps earphone acoustic cavities breathing when sweat blocks the primary vent during exercise.

Microphone data is generalized into a device-independent audio format, enabling accurate source separation on resource-limited devices.

A passive acoustic baffle encodes angle-dependent amplitude and phase cues, enabling compact microphones to localize sound with less array complexity.

Reverberant loudspeaker-to-microphone measurements generate PSD-based filters that automate telepresence audio calibration without manual setup.

Maps directional audio, clip data, and speaker cues into metadata so cameras can localize sound sources and classify events more effectively.

Maps multi-directional microphone input into geo-oriented audio clips, improving sound direction detection and audio type classification.

Physics-based spatial audio modeling separates target speech in noise and reverberation while flagging deepfakes through acoustic transfer anomalies.

Bone-conduction vibration audio directs guidance to the driver while cancelling cabin noise to protect privacy and improve recognition.

By detecting passenger location and active speakers, the system prioritizes the right vehicle microphone and filters ambient call noise.

Visual mute indicators for each microphone prevent false mute assumptions when another mic in the same space is still transmitting.

Acoustic filter factors based on frequency and microphone spacing sharpen directivity and improve sound source positioning in noisy spaces.

A 3D SVDF neural network processes microphone-array channels in parallel to cut compute load while improving hotword detection in noise.

Sound metadata guides gain, spatial processing, and noise reduction changes to maintain voice detection despite faulty microphones and noise.

An annular rib and glue slot seal the headphone wire insert, blocking water ingress while keeping the wire connection stable.