Electrophonic Musical Instruments TRIZ Cases

Constant Q transforms separate pitch from timbre, reducing pitch-dependent database demands for media classification and identification.

Separate wireless audio networks let venue visitors select one screen’s program without disturbing others or standing nearby.

Gameplay variables adjust melody, harmony, percussion, and orchestration so video-game music moves from simple stability to complex tension.

A room-metadata estimator adapts feedback-loop parameters to render flutter echoes and diffuse reverberation with lower computational complexity in VR and AR audio.

Combines music characteristics with weather, time, and location data to vary LED effects while preserving beat synchronization.

Machine learning extracts beat markings, chord strings, tempo, and key before catalog matching, reducing manual work for cohesive mashups.

Scenario analysis matches user materials to template segments, while beat-aware timing keeps background music synchronized during automatic video generation.

A controller uses voice analysis to drive haptic and visual cues, helping vision-impaired users follow pitch, rhythm, and timing.

Collaborative noise reduction combines mobile-terminal and earbud recordings to improve voice-signal integrity without wired accessories.

A wireless hub converts sensor impulses to MIDI and uses frequency-shift keying to keep electronic percussion latency at 20 ms or less.

Selective inference-time biases steer sensitive attention heads toward target traits, controlling generated audio without costly model retraining.

Playback and capture latency are converted into a reference timestamp that aligns recorded audio with music before mixing for karaoke.

A removable neck and headstock plus a reinforcing mounting plate improve transport while preserving alignment and structural integrity during reassembly.

Elastic support and threshold-based signal processing separate second-rim hits from head vibrations during side-stick playing.

Combine fNIRS, EEG, and PPG signals to measure psychological absorption and personalize music libraries for trait training.

A Hall-effect sensor and aligned magnet track cymbal position to expand electronic hi-hat sound control and tactile response.

An integrated drum shell sends sensor signals wirelessly to a hub, addressing latency while removing the cable burden of electronic drums.

When a played pitch misses the tune's chord structure, a passing tone preserves action feedback while restoring a natural melody.

An encoder compares features from content segments as relative sequences to generate new content with the source structure and length.

Temperature changes can shift porous-resin piezoelectric pickup levels; a thermistor circuit stabilizes output across 0°C to 50°C.

Multiple encoders separate rhythm and melody features so learned models can generate user-directed music variations without losing the original rhythm.

Storing all chord note numbers lets an arpeggiator reflect multiple performance inputs in richer, more expressive patterns.

A narrow slit links separated guitar-body chambers to control resonance, reduce weight, and preserve structural rigidity.

Selectable templates and AI assemble pre-generated loops into complete, musically pleasing works for novice creators.

Manual equalizer adjustments are tedious across music tracks, so semantic audio features set frequency profiles automatically.

Fixed chord data can sound unnatural in jazz; probabilistic voicing patterns and timing variation add tension notes selectively for live-style accompaniment.

Pre-composed loops lack timing cues for user actions; this engine generates music from live controls and adapts playback around important audio.

Cloud DSP separates performer and audience audio paths, balancing minimal added latency with buffered, high-quality streaming at scale.

An internal rib wall supports spaced guide walls to limit molding deflection, reduce key friction, and simplify rearward key removal.

Audio source separation compares the singer’s vocal range with the original to adjust accompaniment pitch and reduce vocal strain in karaoke.

Multi-track instrument channels are balanced by output volume to produce low-, medium-, or high-energy song variants.

Video analysis and user preferences guide AI-generated audio tracks, helping creators avoid copyrighted songs and manual music selection.

Iteratively varying pitch, tempo, and key compares uploaded tracks with rights-repository audio to detect transformed infringement automatically.

Replacing a heavy metal outer edge with flat resin and fiber-reinforced material lightens hits while preserving strength.

Separate channels let an electronic drum device balance backing and click sounds independently for headphones and speakers without an external mixer.

Moving reference-performer hands overlay observed keyboard images, giving continuous practice guidance without a trainer staying nearby.

Static playback cannot adapt to changing users or surroundings; blockchain data and algorithmic segment selection enable responsive, personalized media.

A multi-touch pickup replaces multiple knobs with visual control for timbre, tone, and equalizer adjustments.

A convex soundboard and piezoelectric pickup reduce feedback while preserving attack and sustain.

Cabin acoustic feedback automatically controls vocal suppression, reducing manual interaction during in-car karaoke.

Mode-based mixing of near-stage and distant audience sound sources simulates venue atmospheres without storing many complete recordings.

This audio mixing approach adjusts timestamps for play and capture latency, synchronizing accompaniment with recorded karaoke audio.

This case routes key excitation through low-register channels and feedback paths to reproduce acoustic piano damper resonance.

This case uses resonant and magnetic sensing to vary audio characteristics, enabling crossfade, legato, and portamento from key motion.

Real-time fingering detection sets equalizer frequency and gain, adapting sound while reducing volume variation and howling.

Small speakers gain virtual bass through band-specific nonlinear processing that limits intermodulation distortion and preserves timbre.

A trained sound model analyzes user-generated vehicle sounds and triggers matching drum playback through the vehicle speakers.

This case uses separate encoders for whole content and extracted data to preserve user-selected rhythm during song generation.

This case organizes chord, bass, melody, and rhythm features as labeled learning data for producer-directed AI composition.

This case maps chords, intervals, and psychoacoustic features to synchronized visuals, enriching musical perception without losing texture.