Business 05
This is not a business of recording sound. We design and capture the input structures that determine how AI and robotics perceive space — with IR measurement capabilities across diverse Japanese environments. From traditional architecture to modern facilities, we work with the acoustic conditions that shape machine perception.
Proprietary measurement and audio processing systems developed in-house.
Most acoustic and IR data fails to function adequately for AI applications for these reasons:
Measurement conditions don't match intended use
Spatial information is missing
Not designed for reuse
No alignment with simulation
Cannot be applied to physical robots
Especially in robotics and embodied AI, a frequent situation occurs:
"The measurement is correct, but it can't be used."
We treat acoustics and IR not as byproducts of speech or acoustic engineering, but as primary input for spatial perception.
Therefore, the design target is not sound itself, but relationships.
Sound as a Perceptual System — not as audio engineering output.
Principle
Design targets:
IR is not measured in isolation. We first define "what configuration, what reproduction target."
Environmental sound is not random noise. For AI, it directly connects to: direction information, distance information, priority judgment.
Explicitly designed:
This is the core of the business.
4.1 Requirements Definition — What to Decide Before Acquisition
Target System
Robot hearing
XR
Spatial AI
Digital twin
Usage Phase
Simulation
Training
Evaluation
Deployment
Reproduction Target
Real space
Abstract space
Typical environment
Failure Modes to Avoid
Excessive reflection
Directionality misidentification
Distance estimation errors
4.2 Acquisition Geometry Design
Intentionally designed:
Source placement
Microphone placement
Movement patterns
Height differences
Fixed / variable conditions
This enables: same-space comparison, conditional learning, and regeneration.
5.1 Mandatory Recording Items
Acquisition date/time
Environmental conditions
Equipment used
Calibration conditions
Spatial dimensions
Position information
"Data that can't be recalled later" is not created.
5.2 Reproducibility Guarantee
Re-measurable under same conditions
Differential generation with changed conditions
Time-lapse changes also acquirable
This is the premise for research and long-term operation.
Acoustic and IR data loses meaning without metadata.
We design as standard:
Spatial dimensions
Source / receiver positions
Azimuth / angle
Distance
Environmental characteristics
Intended use
This enables cross-application use in: simulation, model training, and physical deployment.
This business has particular strength in the following domains:
Robot Sound Localization
Human Distance Estimation
Action Decision Making
Navigation Assistance
Environmental Change Adaptation
We create acoustic input that connects to "how to act" — not just "what is heard."
Typically includes:
Raw Acoustic Data
IR Data
Spatial Metadata
Design Specification Document
Acquisition Conditions Document
Regeneration Premise Notes
We do not end with simple wav / IR file delivery.
Use-Case Design
Can design for intended use before acquisition
Structural Treatment
Can treat space as structure
Reuse & Regeneration
Built with reuse and regeneration as premise
Robotics Understanding
Understands robotics implementation requirements
Cross-Modal Integration
Can integrate with non-verbal and linguistic data
The decisive difference: elevating acoustics and IR from "measurement" to "perception design."
M9 STUDIO's acoustic, IR, and spatial data business is not about collecting sound — it is about preventing AI from misunderstanding the world.
Not suited for: cheap one-time measurements or quick-turnaround data.
However, for those seriously building AI and robots that work in real environments — we can support from design to execution.