Room Acoustics Visualization Project

WIP

AI Generated Template Dump

What Is This Project?

This project is a virtual simulation that shows how sound behaves inside a room. Using a 3D environment, we can watch sound waves travel from a speaker, bounce off walls, and eventually reach a listener’s ears. Think of it like being able to see sound — something that’s normally invisible to us.

Why Does This Matter?

Understanding how sound moves through a room is important for many real-world applications:

Concert halls and theaters need to be designed so that everyone in the audience hears the music clearly
Recording studios must control echoes and reflections to capture clean audio
Conference rooms should allow people to hear each other without confusing echoes
Home theaters can be optimized for the best movie-watching experience

Architects, audio engineers, and designers use these principles to create spaces that sound good. This project lets us see and experiment with these concepts in a virtual environment.

The Basic Idea: How Sound Travels

When you clap your hands in a room, the sound doesn’t just travel directly to your ears. It also:

Travels outward in all directions from the source
Hits the walls, floor, and ceiling
Bounces back into the room (like a ball bouncing off a wall)
Bounces again and again until the sound fades away
Reaches your ears as a combination of the direct sound and all its reflections

This is why your voice sounds different in a bathroom (lots of hard, reflective surfaces) compared to a bedroom with carpet and curtains (soft, absorbing surfaces).

The Components of Our Virtual Room

The Room Itself

We built a simple rectangular room with six surfaces:

Floor
Ceiling
Four walls (front, back, left, right)

Each surface can be assigned different properties that determine how much sound it absorbs versus reflects. For example:

Surface Type	Absorption	What It Simulates
Concrete	Very low (reflects most sound)	Hard warehouse floor
Carpet	Medium to high	Living room floor
Acoustic panels	Very high	Recording studio walls

The absorption coefficient is a number between 0 and 1:

0 means the surface reflects all sound (like a mirror for sound)
1 means the surface absorbs all sound (like an open window — sound escapes and doesn’t come back)

Most real materials fall somewhere in between, and they absorb different amounts depending on the pitch of the sound. Low rumbling sounds behave differently than high-pitched sounds.

The Sound Source (Monopole)

In the center of our room, we placed a virtual speaker called a monopole source. This is the simplest type of sound source — it radiates sound equally in all directions, like a tiny pulsing sphere. Imagine dropping a pebble in still water and watching the ripples spread outward in a perfect circle. A monopole does the same thing, but in three dimensions and with sound waves instead of water waves.

The Sound Rays

To visualize how sound travels, we use a technique similar to how computer graphics programs create realistic lighting. Instead of trying to simulate every single sound wave (which would be impossibly complex), we shoot out invisible “rays” from the sound source in many directions — like the spokes of a wheel extending outward from the center.

Each ray:

Travels in a straight line until it hits a surface
Loses some energy when it bounces (based on how absorptive the surface is)
Bounces off in a new direction (like a billiard ball)
Continues bouncing until it runs out of energy or reaches the maximum number of bounces

We track hundreds of these rays as they ping-pong around the room, recording how much energy they have at each step.

The Virtual Microphone

Somewhere in the room, we placed a virtual microphone — a listener position. This is represented as a sphere with a certain capture radius. Whenever a sound ray passes through this sphere, the microphone “hears” it and records:

How much energy the ray had when it arrived
What frequencies (pitches) were strongest
How far the sound traveled to get there

By adding up all the rays that reach the microphone, we can calculate the total sound energy at that position.

The Display

On screen, we show:

Power meter: A number showing how loud the sound is at the microphone position (measured in decibels, abbreviated dB)
Frequency bars: Six bars showing how much energy arrived at different pitches:
- 125 Hz (low rumble, like thunder)
- 250 Hz (low-mid, like a bass guitar)
- 500 Hz (mid-range, like a male speaking voice)
- 1000 Hz (mid-high, like a female speaking voice)
- 2000 Hz (high, like a whistle)
- 4000 Hz (very high, like cymbals)

What You Can See and Do

When you run the simulation:

Red lines appear showing the paths of sound rays as they travel from the source, bounce off walls, and eventually fade away
The power meter updates showing how much sound energy reaches the microphone
The frequency bars change based on how different pitches are affected by the room

You can experiment by:

Moving the microphone to different positions and seeing how the sound changes
Changing the room’s absorption to simulate different materials (make a wall more reflective or more absorptive)
Moving the sound source to different locations

Comparing Our Model to Theory

Scientists have developed mathematical formulas to predict how sound behaves in rooms without having to simulate every ray. Two famous formulas are:

The Sabine Equation (1900)

Developed by Wallace Sabine, a Harvard physicist who pioneered the science of room acoustics. His formula predicts reverberation time — how long it takes for sound to fade away after the source stops. This formula works well for rooms with hard, reflective surfaces (what acousticians call “live” rooms).

The Eyring Equation (1930)

Carl Eyring improved on Sabine’s work to create a formula that also works for rooms with lots of absorption (what acousticians call “dead” rooms, like recording studios). His formula gives more accurate predictions when rooms have very absorptive surfaces.

Our project calculates both theoretical predictions and compares them to what our ray-tracing simulation actually measures. This helps verify that our virtual model is behaving realistically.

The Physics Behind It All

Energy Conservation

Sound carries energy. When a sound wave hits a surface:

Some energy is absorbed by the material (converted to tiny amounts of heat)
The remaining energy is reflected back into the room

This is why sounds fade away over time — each bounce removes some energy until there’s nothing left to hear.

Frequency-Dependent Absorption

Different materials absorb different pitches differently. For example:

Thick carpet absorbs high frequencies well but lets low frequencies bounce back
Thin panels often absorb mid-range frequencies but not the extremes
Heavy concrete reflects almost everything regardless of pitch

This is why rooms sound different from each other — not just louder or quieter, but with different tonal qualities.

The Inverse Square Law

Sound gets quieter the farther you are from the source. Specifically, if you double your distance from a speaker, the sound energy drops to one-quarter of what it was. This is because the sound is spreading out over a larger and larger area as it travels.

Limitations of This Model

Like all simulations, ours makes some simplifications:

We use rays instead of waves: Real sound waves can bend around corners (diffraction) and create complex patterns when waves overlap (interference). Our ray model doesn’t capture these effects.
We assume simple reflections: Real surfaces scatter sound in complex ways. We assume simple mirror-like bounces.
We use a limited number of rays: More rays would give more accurate results but would take longer to calculate.
We sample only six frequency bands: Real sound contains a continuous spectrum of frequencies.

Despite these limitations, ray-tracing models like ours are widely used in professional acoustic design because they provide a good balance between accuracy and computational speed.

Glossary

Term	Definition
Absorption coefficient	A number (0-1) indicating how much sound energy a surface absorbs
Decibels (dB)	A unit for measuring sound intensity
Frequency	The pitch of a sound, measured in Hertz (Hz)
Monopole	A simple sound source that radiates equally in all directions
Ray tracing	A technique that simulates sound by following individual rays as they travel and bounce
Reverberation	The persistence of sound in a space after the source stops, caused by reflections
RT60	The time it takes for sound to decrease by 60 decibels (become one millionth as loud)

Summary

This project creates a virtual laboratory for exploring room acoustics. By visualizing sound as rays that travel, bounce, and fade, we can:

See how room shape and materials affect what we hear
Experiment with different configurations instantly
Compare our simulated results against well-established theoretical predictions

Whether you’re designing a concert hall, setting up a home studio, or just curious about why your bathroom sounds so echoey, understanding room acoustics helps explain the invisible world of sound around us.

Raytraced Acoustic Room Model

An project created using Unreal Engine blueprints to demonstrate how a mono-pole source emits sound waves that decay as they bounce around a room and are captured by a microphone.