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PyPi

Introduction

The goal of HiFiScan is to help equalize an audio system to get the best possible audio quality from it. There are two ways to do this:

1. Manual: The realtime frequency response is displayed and the peaks and troughs can be interactively equalized away.

2. Automatic: The frequency response is measured and a correction is calculated. This correction is by default a phase-neutral finite impulse response (FIR) that can be imported into most equalizer programs.

The measuring is done by playing a "chirp" sound that sweeps across all frequencies and recording how loud each frequency comes out of the speakers. A good microphone is needed, with a wide frequency range and preferably with a flat frequency response.

The equalization itself is not provided; It can be performed by an equalizer of your choice, such as EasyEffects for Linux, Equalizer APO and Peace for Windows, or eqMac for macOS.

Installation

pip install -U hifiscan

The program is started from a console by typing:

hifiscan

All functionality is also available for interactive use in this Jupyter notebook.

Examples

Laptop

Lets first optimize the speakers of a laptop. The laptop has tiny down-firing speakers and a massive case resonance that makes it sound about as bad as it gets.

The sound is recorded with a USB studio microphone; The built-in microphone of the laptop is not suitable for this.

images/laptop_setup.jpg

Letting the measurements run it becomes clear just how bad the spectrum is, with a peak at 1 kHz about 20 dB above average. Every 10 dB is a factor 10 in power, so 20 dB is a factor 100.

The low frequency is set to 200 Hz since the laptop can't possibly output anything below this.

images/laptop-spectrum.png

To get an automatic correction, we go to the "Impulse Response" section (selectable in the lower left corner). From here it's possible to use all-default values and click straight on "Export as WAV" to get a perfectly adequate result.

But lets optimize a bit further for this laptop. There are various tradeoffs that can be made, one of which involves the Duration of the impulse. A longer duration gives better bass control, but also adds more latency. The latency added by the equalizer is halve the duration of the impulse. Since the laptop has no bass anyway, we choose a 22 ms duration for a super-low 11 ms latency. This is less time than it takes sound to travel four meters and is good enough even for gaming or video-calls.

We also increase the Range to 27 dB to get just a little bit of extra equalization.

The lower graph (in brown) shows how the equalized spectrum is expected to be, and it looks nicely flattened.

images/laptop-IR.png

So lets export the impulse response and import it into EasyEffects (In Convolver effect: "Impulses -> Import Impulse" and then "Load"):

images/Convolver.png

We go back to the spectrum measurement and store the uncorrected spectrum with the Store button (to compare with later measurements). More measurements can be stored as well, for example where the microphone is placed in different locatations, The total average of the stored measurements is shown in orange

Measuring the equalized system gives this:

images/laptop-flattened-spectrum.png

It is seen that the equalization works by attenuation only: Everything gets chopped to some level under the top (27 dB here) and this flattens the whole landscape.

All this attenuation does decrease the total loudness, so the volume has to be turned up to get the same loudness. This also brings up the flanks of the spectrum and increases the effective frequency range. There's a very welcome 40 Hz of extra bass and a whole lot of treble:

images/laptop-spectrum-equivolume.png

This is the point to leave the graphs and start to listen to some music. Is there an improvement? There are of course lots of different tastes in what sounds good, but for those who like a neutrally balanced sound there is a huge improvement. Voices are also much easier to understand.

The lack of bass is somewhat offset by the missing fundamental phenomenon, were the brain "adds" a missing low frequency based on its higher frequency harmonics. It seems that by equalizing the harmonics the phantom bass gets equalized as well.

HiFi Stereo

The HiFi installation has four JBL surround loudspeakers wired in series as a 2x2 stereo setup, plus a subwoofer. The sound can only be described as very dull, as if the tweeters are not working.

To calibrate we use the same microphone as for the laptop, which is a Superlux E205UMKII. Lets this time correct for any non-flatness of the microphone. According to the documentation it has this frequency response:

images/mic_response.png

We create a text file that describes the microphone's frequency response:

20 -1.5
150 0
4500 0
10000 4
17000 0
20000 -2

The file is imported with "Corrections... -> Mic Calibration -> Load". Manifucturer-supplied calibration files can be imported here as well.

Measuring the spectrum bears out the concerning lack of treble:

images/stereo-spectrum.png

So lets go to the Impulse Response section to fix this.

The Range is set to 33 dB - this is an extreme value but what the heck.

The Tapering is left at 5. It pulls the flanks of the Impulse Response closer to zero (visible in the green curve), which also has a smoothing effect on the spectrum. A value less than 5 might leave the flanks of the green curve too high and this can cause nasty pre-echos. A value higher than 5 might cause too much smoothing of the bass region.

The Smoothing will also smooth the spectrum, but the smoothing is done proportional to the frequency. It will smooth the bass region less, allowing for better precision there. A good smoothing value can be judged from the Correction Factor graph (in red): It should be smooth with nicely rounded corners, yet with enough detail.

The Duration is fiddled with until an acceptable bass response is reached (visible in lowest graph in brown).

images/stereo-ir.png

After exporting the Impulse Response and importing it into EasyEffects the result looks promising.

images/stereo-spectrum-corrected.png

We turn up the volume to get the same loudness as before and apply some visual smoothing to the spectrum for clarity. It turns out that the tweeters can do their job if only the amplifier drives them 100 times as hard.

images/stereo-final.png

The difference in sound quality is night and day. Music is really really good now. For movies it brings very immersive action and excellent clarity of dialogue.

As mentioned in the introduction, the equalization is phase- neutral. This means that despite the heavy and steep equalization there are no relative phase shifts added. The details in a lossless source of music (such as the bounces of a cymbal) remain as crisp as can be.

As an aside, the amplifier used is a $18 circuit board based on the TPA3116D2 digital amplifier chip. It draws 1.1 Watt while playing which only increases if the subwoofer is really busy.

Bluetooth headphones

HiFiScan is not intended for use with headphones. There is the AutoEq project with ready-made corrections for most headphones, Even so, it can be used for experiments. For example, I have very nice Dali IO-4 headphones that can be used with Bluetooth or passively with an analog audio cable. It sounds better with Bluetooth, which suggests that some equalization is taking place. Lets measure this!

images/dali.jpg

It is seen that there is a indeed a bit of active tuning going on, although most of the tuning is done acoustically. In orange is bluetooth and in cyan is the analog cable. There's a wide -10dB attenuation at 1.8 kHz and a narrow -4dB one at 5.5 kHz. This tuning can be applied to the analog signal to get the same sound as with Bluetooth.

images/dali-spectrum.png

Using a target curve

Instead of aiming for a flat spectrum, it's also possible to target a specific curve. This is done by creating a text file with the target curve and importing it with "Corrections... -> Target Curve -> Load". Lets use this zig-zagging target curve:

300 -10
500 10
1000 5
2000 10
4000 10
6000 0
20000 -10

In the Impulse Response section we see in the lower graph that a fit is made to the red line, which is the target curve.

images/target_IR.png

The impulse with the baked-in target spectrum is exported and imported into EasyEffects. In orange is the original spectrum, in red is the target and in cyan the reshaped spectrum that tries to follow the target curve:

images/target_spectrum.png

Causality

The default is to create a phase-neutral (aka linear-phase) impulse response. It's also possible to create a minimum-phase response. Even everything in between is possible. This is done with the Causality parameter, where 0% is phase-neutral and 100% is minimum-phase. By varying the causality a smooth transition between the extremes is made:

images/causality-waveform.png

The latency decreases proportional to the causality. At 100% the response becomes zero-latency and purely causal, where only the current and past sound samples are used. The pre-echo is eliminated at the price of twice the post-echo. Note that despite the name of "minimum-phase" this setting actually incurs the most phase distortion, which can get severe with a steep equalization.

A good compromise may be a causality of 40%, which reduces the pre-echo by about 6 dB while not phase-smearing too much. Let your ears be the judge of what sounds best.

A tool for changing the causality of existing impulse responses (as WAV file) is found in "Tools... -> Change IR causality".

Disclaimer

The software is provided on the conditions of the simplified BSD license. Any blown speakers or shattered glasses are on you.

Enjoy,

author:Ewald de Wit <ewald.de.wit@gmail.com>

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