Crossover Design Walkthrough - High-value Bookshelf - Part 3 of 5
In this episode:
• What a crossover actually does and why it's essential
• Reading and understanding crossover schematics
• Why some crossovers are simple while others become very complex
• Choosing the listening axis for optimization
• Understanding Boxed Driver Response and how it affects the final frequency response
• System impedance and why it matters
• Crossover transfer functions explained
• Editing crossovers by:
- Adding components
- Removing, opening, or shorting components
- Changing component values
- Scroll wheel editing and value snapping
- Automatic resistor scaling
- Component thermal calculations
- Changing driver polarity and driver roles
- Adding parallel components before or after shunt elements • Using the response graphs and metrics to evaluate changes • Finding and adjusting crossover points • Saving designs and using Undo • Estimated crossover cost and complete parts list • Automatically generating an optimized crossover with the Auto-Solver • Manually refining the Auto-Solved design • Exporting crossover netlists
u/wigginjs — 8 days ago
Enclosure Design Walkthrough - High-value Bookshelf - Part 2 of 5
I just posted Episode 2 of my LoudspeakerLab bookshelf speaker design series. This one is focused on enclosure design.
In the last episode, I walked through driver selection for a high-value 2-way bookshelf speaker. In this video, I take those selected drivers into LoudspeakerLab and work through the enclosure setup, including sealed vs. vented alignment, box dimensions, driver placement, port tuning, port velocity, baffle step, diffraction, edge treatment, stuffing, and even what changes when you move into 3-way or 2.5-way designs.
I also show a new driver comparison feature that lets you compare up to three drivers side by side, including on-axis response, off-axis behavior, impedance, sensitivity, usable bandwidth, and scoring.
A few topics covered:
- Sealed vs. vented enclosure tradeoffs
- Port length, tuning frequency, and port noise
- Slot ports vs. round ports
- Baffle step and diffraction modeling
- Offset tweeter placement
- Edge treatments like roundovers and chamfers
- Stuffing and apparent enclosure volume
- Multi-chamber enclosures for 3-way designs
The goal of LoudspeakerLab is to make DIY speaker design more accessible while still exposing the real engineering tradeoffs behind driver selection, enclosure alignment, diffraction, and crossover design.
LoudspeakerLab: https://loudspeakerlab.io
Happy building.
u/wigginjs — 18 days ago
Drivers Selection Walkthrough - High-value Bookshelf - Part 1 of 5
I just posted Part 1 of a new series designing a high-value bookshelf speaker from scratch in LoudspeakerLab.
This first video focuses on driver selection: comparing candidate woofers/tweeters, looking at usable passband, on-axis smoothness, off-axis/directivity behavior, distortion data where available, and the evidence score behind each driver’s measurement set.
u/wigginjs — 29 days ago
▲ 12 r/diyaudio
LoudspeakerLab update: Evidence scores, Expected Range overlays, and a much better Box Review workflow
LoudspeakerLab — Recent Improvements (May–June 2026)
Homepage & design browsing
- Homepage redesign with featured designs and driver cards that show band subscores (flatness, directivity, etc.).
- Design thumbnails rendered with the same 3D viewer look: textures, lighting, and framing match the detail page.
- Faster page loads on homepage, design detail, and preview plots.
Driver catalog
- Readable driver URLs with variants grouped under canonical model pages.
- Driver photos and a media viewer where images are available.
- Evidence grades (A-C) showing measurement trustworthiness per profile.
- Richer filtering: role/size tree, sensitivity sliders, cabinet-type filters, and Predicted Optimal Enclosure hints.
- Expanded Quality Score breakdown with clearer band subscores.
Design analysis & planning
- Design Evidence score on completed builds: summarizes how trustworthy the measurement inputs are across all drivers.
- Expected Range overlay: optional shaded band on plots showing likely variation; pairs with Evidence to show prediction confidence.
- Driver compatibility warnings when assembling a new design: overlap, sensitivity, and baffle-fit guidance before you solve.
Box Review & enclosures
- Live auto-preview as you edit dimensions and ports.
- Draggable cabinet handles for width, height, depth, and baffle.
- Continuous diffraction preview while adjusting baffle size.
- Slot ports and bottom ports with aligned 2D cross-sections and 3D cabinet views.
- Enclosure hints on driver browse and saved auto-solve target curve preferences.
Solver & preview performance
- Faster Auto-Solve: a major optimization to the core objective evaluation path cuts typical solve time by about ~30%.
- Faster crossover and design previews while editing: cached evaluations and parallel plot generation so curves update sooner on design detail.
Crossover & schematic editing
- Automatic thermal resistor splitting: split undersized resistors into practical parallel/series stacks with updated BOM and schematic.
- Raw per-driver response traces available on the frequency plot legend (boxed/baffled, unfiltered).
3D & AR
- Automatic 3D model generation on design publish.
Transparency
- Accuracy page: predicted vs measured comparisons with openable example designs.
TL;DR
Richer driver catalog (photos, provenance grades, smarter filters). Design pages now expose prediction confidence (Evidence + Expected Range) and compatibility guidance upfront. Auto-Solve and live previews are noticeably faster. Box Review is interactive with live preview, draggable geometry, and diffraction preview. Crossover editing adds thermal resistor splitting and optional raw driver traces. 3D/AR got a meaningful upgrade.
u/wigginjs — 1 month ago
Create a speaker design in 10 minutes - LoudspeakerLab Tutorial
Questions about how it works? https://loudspeakerlab.io/faq
Questions about accuracy? https://loudspeakerlab.io/case-studies/mechano23-klippel-vituixcad-loudspeakerlab
u/wigginjs — 2 months ago
▲ 40 r/crtgaming
Guess who came to live at my house…
Honestly, never thought I’d have the opportunity. I’m coming from a 36FS120 and thought “how big of a difference could it be?” Well, brother, I’m a believer now. This thing looks more like my PVM than it does the FS120
u/wigginjs — 2 months ago
▲ 10 r/diyaudio
Mechano23 is an unusually good DIY validation case. XMechanik published an excellent open-source speaker design and shared the driver measurements and VituixCAD project files in the original Mechano23 AudioScienceReview thread. Amir later measured the finished speaker on the Klippel NFS and shared images and measurement data in the Mechano23 AudioScienceReview review thread. That gives us a rare chance to compare the full chain: raw driver measurements, design software predictions (VituixCAD, LoudspeakerLab), and real-world loudspeaker performance.
The goal of this post is to explore how close modeled designs get to real-world results and how the completeness of the measurement dataset affects accuracy. Also, how does LoudspeakerLab compare to the current DIY reference workflow in VituixCAD? Finally, how much do we give up if we design from manufacturer spec-sheet data instead of in-cabinet measurements?
Compared Sources
- Klippel NFS measurement from Amir's Mechano23 AudioScienceReview review, treated here as ground truth.
- VituixCAD from XMechanik's original Mechano23 AudioScienceReview post, using exported frequency response, impedance, crossover-transfer, CTA, and directivity data from the shared VituixCAD project.
- Mechano23 LoudspeakerLab, using the in-cabinet driver measurements.
- Mechano23 LoudspeakerLab spec sheet, using manufacturer spec-sheet FR/ZMA data.
Reference Notes And Caveats
- Klippel is treated as ground truth for acoustic response.
- Klippel On-Axis, Listening Window, Early Reflections, and polar comparisons use Amir's provided horizontal and vertical SPL data.
- Klippel Sound Power and Directivity Index use the best available extraction from the CEA2034 image, so those conclusions are lower confidence than the On-Axis, Listening Window, Early Reflections, and polar-shape conclusions.
- Klippel impedance/phase are digitized from the supplied impedance image. This is good enough to compare the main impedance shape and minima, but lower precision than source text data.
- Crossover-transfer errors are referenced to VituixCAD exported crossover-transfer data because Klippel does not provide electrical transfer-function data.
- LoudspeakerLab data comes from the two public designs linked above, using their generated frequency response, impedance, CTA, crossover-transfer, and polar outputs.
- The VituixCAD preference score shown in the shared VituixCAD materials is 8.139, using the VituixCAD default of omitting the low-frequency extension score. LoudspeakerLab's Preference Score is based more closely on the Olive standard and includes the low-frequency extension penalty by default, but a "w/ Sub" Preference Score is also calculated which omits the low-frequency extension and produces a result more comparable to the default VituixCAD score.
Error cells are median / p95 / max dB over 100 Hz-16 kHz. SPL curves are level-aligned over 300 Hz-1 kHz before acoustic shape comparisons; DI is not level-aligned.
Input Data
| Source | Input data | Angular coverage used by LL |
|---|---|---|
| VituixCAD | Shared Mechano23 VituixCAD project exports from in-cabinet driver measurements | As exported by VituixCAD |
| LoudspeakerLab | Same in-cabinet driver measurement family, public LL design | H 10..180 plus signed V -170..180 for both drivers |
| LoudspeakerLab (spec sheet) | Manufacturer FR/ZMA and sparse manufacturer horizontal polars | H30/H60 only; LL estimates the missing vertical and rear surface |
Core Metrics Vs Klippel
This shows the delta (p95 error) between the Klippel data from Amir and the values from VituixCAD, LoudspeakerLab, and LoudspeakerLab using spec-sheet data. Lower is better on all scores except Preference Rating. p95 error is in dB over 100 Hz-16 kHz after level-aligning SPL curves over 300 Hz-1 kHz. Directivity Index is not level-aligned.
| Source | On-Axis | Listening Window | Early Reflections | Sound Power | Predicted In-Room | Directivity Index | Preference Rating (no LF) |
|---|---|---|---|---|---|---|---|
| VituixCAD | 2.04 | 2.07 | 2.14 | 2.22 | 2.12 | 1.38 | 8.148 |
| LoudspeakerLab | 1.39 | 1.34 | 1.15 | 1.13 | 1.05 | 1.74 | 8.081 |
| LoudspeakerLab (spec sheet) | 3.18 | 2.34 | 1.56 | 2.64 | 1.62 | 4.00 | 7.122 |
Klippel's VXC-style score from the extracted reference curves is 7.920. The shared VituixCAD materials report 8.139, which is close to the recomputed value from these curves.
Supporting Electrical Checks
| Source | Minimum impedance | Impedance p95 vs Klippel | Crossover transfer p95 vs VituixCAD |
|---|---|---|---|
| VituixCAD | 4.13 ohm @ 219 Hz | 1.56 ohm | reference |
| LoudspeakerLab | 4.13 ohm @ 217 Hz | 1.48 ohm | W 0.07 dB / T 0.01 dB |
| LoudspeakerLab (spec sheet) | 1.42 ohm @ 40 Hz | 3.08 ohm | W 1.48 dB / T 0.35 dB |
Conclusions
1. Modeled speakers can match the real speaker surprisingly well when the input data is good
The in-cabinet models are close enough to the Klippel curves to be useful design tools rather than rough sketches. VituixCAD lands at 2.04 dB p95 on-axis error and 2.07 dB Listening Window p95 error after level alignment. LoudspeakerLab gives lower error at 1.39 dB and 1.34 dB on the same metrics.
The practical takeaway is that robust in-cabinet measurements remain the high-confidence path. They already contain the real baffle, mounting, diffraction, grille-less driver integration, sample variation, and low-frequency loading behavior. The software still has to sum drivers, apply offsets, apply crossover transfer functions, and calculate CTA curves, but it is no longer being asked to invent the loudspeaker from generic driver curves.
One key difference between LoudspeakerLab and similar speaker modeling tools is its ability to "unload" and "re-load" the box and baffle from measurements if those measurements were taken in a cabinet versus on a large measurement baffle. This cabinet/baffle unload-reload path exists for the core purpose of measurement re-use. An in-cabinet driver measurement is not just the driver; it also contains the measurement box, baffle, mounting, and low-frequency loading. VituixCAD's classic workflow works when those measurements are already from the final cabinet. LL's unload/re-load process makes the same driver profile reusable in other designs by estimating measured in cabinet A -> remove cabinet A/baffle A -> apply cabinet B/baffle B. The higher agreement here is best read as a useful by-product of that architecture, incorporating accurate box and baffle models based on T/S parameters to help estimate anechoic speaker behavior.
2. Why LoudspeakerLab and VituixCAD differ with the same input data
On the directly measured response curves, LoudspeakerLab is lower-error on On-Axis, Listening Window, and Early Reflections, at least for Mechano23. VituixCAD is lower-error on Directivity Index (1.38 dB p95 for VituixCAD versus 1.74 dB for LoudspeakerLab). That is the main place where LL trails in the headline graphic.
I studied this to try to better understand why, since they use the same source measurements and crossover, and the strongest clue is the cabinet/baffle ablation. When I used the same LL in-cabinet FRDs directly and bypassed LL's measurement-cabinet/baffle unload and target-cabinet/baffle reload step, the main errors become VituixCAD-like: On-Axis 2.05 dB, Listening Window 2.06 dB, and Early Reflections 2.10 dB. With the normal LL process, those are roughly 30-40% lower: 1.39, 1.34, and 1.15 dB. That suggests the unload/reload process is likely a real contributor to LL's stronger front-curve agreement in this Mechano23 case.
The electrical transfer overlay is the strongest sanity check: LoudspeakerLab's in-cabinet crossover transfer differs from VituixCAD by only about 0.07 dB p95 on the woofer and 0.01 dB p95 on the tweeter, essentially the same. So it is acoustic modeling, not electrical modeling, that produces this lower error.
3. Spec-sheet modeling is useful, but it is not equivalent to in-cabinet measurement
The spec-sheet model gives a view into the widely accessible speaker design use case. Making in-cabinet spherical measurements requires a lot of expertise, expense, and effort. You have to buy the drivers, build the cabinet, and then actually take the 72 measurements correctly. Alternatively, you could use manufacturer FR/ZMA files or scraped spec-sheet data to get sparse manufacturer horizontal polars, then ask LL to predict the cabinet/baffle transformation, vertical behavior, rear radiation, acoustic offsets, and system integration. This is not as accurate as the in-cabinet spherical measuring process, but the quantification of the gap is interesting. On-Axis p95 error is 3.18 dB, Listening Window is 2.34 dB, and Directivity Index is 4.00 dB: higher, but not unusable to create a high-quality speaker design.
The electrical side points in the same direction. The spec-sheet model's impedance mismatch is much larger than the in-cabinet models, especially in the low-frequency region where box alignment and driver parameters dominate. That is a reminder that manufacturer ZMA/T/S data can be perfectly legitimate for its fixture and still be a poor stand-in for the exact driver/box/crossover combination being built.
That does not make the spec-sheet workflow worthless. It can get a plausible design into the right neighborhood, especially for early crossover exploration and enclosure sizing when no measurements exist. This can be helpful in making driver purchase decisions and later making spherical measurements, or accepting the lower-accuracy spec-sheet design as final. But this comparison argues against treating it as interchangeable with in-cabinet data. Manufacturer curves are measured on standardized baffles and fixtures, often on different driver samples, with different boundary conditions than the finished speaker. LL can model the transformation, but it cannot recover information that was never present in the input data.
4. The Preference Rating differences are real, but they are not a single-number verdict
The Klippel-derived VXC-equation score is 7.920. VituixCAD computes to 8.148, LL in-cabinet to 8.081, and the spec-sheet LL model to 7.122. Those numbers move because the score is sensitive to smoothness, directivity, and bass extension. A model can be close on on-axis response and still diverge in score if Sound Power, DI, or low-frequency extension shifts.
For DIY design work, the score is best treated as a useful summary statistic, not a substitute for looking at the curves. The score is especially vulnerable when Sound Power and DI are based on reconstructed or sparse angular data. That is exactly the region where this study finds the largest remaining LL/VXC/Klippel disagreement.
5. Where the agreement is strongest in modeled speakers
- The in-cabinet LL and VXC models both broadly reproduce the real-speaker on-axis and listening-window shape.
- Electrical impedance for the in-cabinet designs tracks the digitized Klippel impedance shape much better than the spec-sheet design.
- Crossover transfer functions between LL and VXC are close enough that transfer math is unlikely to be the dominant explanation for acoustic differences.
- Horizontal polar behavior is much more constrained for the in-cabinet LL design because measured H data extends to 180 degrees.
Bottom Line
If you have good in-cabinet driver measurements, both VituixCAD and LoudspeakerLab can produce a model that is meaningfully close to a real Klippel-measured speaker. If you only have manufacturer data, both tools can also still be useful, but will be limited by the input data. This study says to keep expectations realistic: the spec-sheet path is good for narrowing design space, not for proving final performance. The healthiest conclusion is boring in the best way: better input measurements beat cleverer modeling. The encouraging part is that when the input data is comparable, the output is broadly comparable too.
And here are my Mechano23s. I use them nearfield on my desk every day. They really are excellent.
u/wigginjs — 2 months ago