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chadmed-triforce-0baf04f/LICENCE.txt 0000664 0000000 0000000 00000043100 15012023530 0017166 0 ustar 00root root 0000000 0000000 GNU GENERAL PUBLIC LICENSE
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OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES
PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED
OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS
TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE
PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING,
REPAIR OR CORRECTION.
12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR
REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES,
INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING
OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED
TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY
YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER
PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE
POSSIBILITY OF SUCH DAMAGES.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
convey the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
Copyright (C)
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, see .
Also add information on how to contact you by electronic and paper mail.
If the program is interactive, make it output a short notice like this
when it starts in an interactive mode:
Gnomovision version 69, Copyright (C) year name of author
Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, the commands you use may
be called something other than `show w' and `show c'; they could even be
mouse-clicks or menu items--whatever suits your program.
You should also get your employer (if you work as a programmer) or your
school, if any, to sign a "copyright disclaimer" for the program, if
necessary. Here is a sample; alter the names:
Yoyodyne, Inc., hereby disclaims all copyright interest in the program
`Gnomovision' (which makes passes at compilers) written by James Hacker.
, 1 April 1989
Moe Ghoul, President of Vice
This General Public License does not permit incorporating your program into
proprietary programs. If your program is a subroutine library, you may
consider it more useful to permit linking proprietary applications with the
library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License.
chadmed-triforce-0baf04f/Makefile 0000664 0000000 0000000 00000001305 15012023530 0017024 0 ustar 00root root 0000000 0000000 # SPDX-License-Identifier: GPL-2.0-or-later
# Copyright (C) 2024 James Calligeros
PREFIX ?= /usr/local
LIBDIR ?= $(PREFIX)/lib64
default:
cargo build --release
performance-test:
cargo build --release --example performance_test
hyperfine -w 3 -- 'target/release/examples/performance_test 600'
install:
install -dDm0755 $(DESTDIR)/$(LIBDIR)/lv2/triforce.lv2/
install -pm0755 target/release/libtriforce.so $(DESTDIR)/$(LIBDIR)/lv2/triforce.lv2/triforce.so
install -pm0644 triforce.ttl $(DESTDIR)/$(LIBDIR)/lv2/triforce.lv2/triforce.ttl
install -pm0644 manifest.ttl $(DESTDIR)/$(LIBDIR)/lv2/triforce.lv2/manifest.ttl
uninstall:
rm -rf $(DESTDIR)/$(LIBDIR)/lv2/triforce.lv2/
chadmed-triforce-0baf04f/README.md 0000664 0000000 0000000 00000003673 15012023530 0016655 0 ustar 00root root 0000000 0000000 # Triforce - a beamformer for Apple Silicon laptops
Triforce implements a Minimum Variance Distortionless Response adaptive beamformer
for the microphone array found in the following Apple Silicon laptops:
* MacBook Pro 13" (M1/M2)
* MacBook Air 13" (M1/M2)
* MacBook Pro 14" (M1 Pro/Max, M2 Pro/Max)
* MacBook Pro 16" (M1 Pro/Max, M2 Pro/Max)
* MacBook Air 15" (M2)
## Dependencies
Triforce tries to keep dependencies to a minimum. On top of the
crates specified in Cargo.lock, you will only require:
* LV2
## Why?
The Apple Silicon laptops mentioned above have an array of microphones arranged
either in a triangle or in a straight line. Much like with the speakers, Apple are trying way too hard to be
fancy here, and implement an adaptive beamformer in userspace to try and isolate
the desired signal from background noise. Without beamforming, the array is far
too sensitive and omnidirectional to be at all useful. Thus, to make it useful outside
of macOS, we need a beamformer.
## Expectation management
Finding accessible literature on any DSP-related topics, let alone something like
wideband adaptive beamforming, is challenging to say the least. This is an attempt
at a beamformer armed only with first year undergrad level engineering maths and some vague
idea of the principles gleaned from various webpages and PDFs. Do not expect it to
outperform Apple's implementation at this time. Patches to improve it are always welcome!
## Known limitations
* nalgebra does not do any explicit SIMD optimisation, relying only on LLVM auto-vectorisation.
Performance and efficiency of matrix math routines are not very good.
* Following from that, we are not doing wideband decomposition due to the added computational
burden. Without SIMD/NEON support, this is simply too slow for a realtime audio plugin.
* Output is mono only. Much like with wideband decomposition, adding additional matrix processing
to fake stereo output would be too computationally intensive
chadmed-triforce-0baf04f/examples/ 0000775 0000000 0000000 00000000000 15012023530 0017203 5 ustar 00root root 0000000 0000000 chadmed-triforce-0baf04f/examples/performance_test.rs 0000664 0000000 0000000 00000001757 15012023530 0023123 0 ustar 00root root 0000000 0000000 use triforce;
fn main() {
let args: Vec = std::env::args().collect();
let seconds: f32 = if args.len() < 2 {
60.0
} else {
match args[1].parse() {
Ok(x) => x,
Err(_) => {
panic!(
"Usage: perf_test \n\
Simulate processing seconds of microphone input \
(default to 60 seconds)."
)
}
}
};
let sample_rate = 48000.0;
let mut inst = triforce::Triforce::with_sample_rate(48000.0);
let i1: Vec = (0..1024).map(|x| (x as f32) / 1024.0).collect();
let i2: Vec = (0..1024).map(|x| ((x as f32) + 10.0) / 1024.0).collect();
let i3: Vec = (0..1024).map(|x| ((x as f32) - 10.0) / 1024.0).collect();
let mut out: Vec = vec![0.0; 1024];
for _ in 0..(sample_rate * seconds / 1024.0) as i32 {
inst.process_slice(&i1, &i2, &i3, &mut out, 100.0, i1.len());
}
}
chadmed-triforce-0baf04f/manifest.ttl 0000664 0000000 0000000 00000000510 15012023530 0017714 0 ustar 00root root 0000000 0000000 # SPDX-License-Identifier: GPL-2.0-or-later
# Copyright (C) 2024 James Calligeros
@prefix lv2: .
@prefix rdfs: .
a lv2:Plugin ;
lv2:binary ;
rdfs:seeAlso .
chadmed-triforce-0baf04f/src/ 0000775 0000000 0000000 00000000000 15012023530 0016154 5 ustar 00root root 0000000 0000000 chadmed-triforce-0baf04f/src/lib.rs 0000664 0000000 0000000 00000025611 15012023530 0017275 0 ustar 00root root 0000000 0000000 // SPDX-License-Identifier: GPL-2.0-or-later
/*
* An attempt at an MVDR beamformer for equilateral triangle mic arrays
* as found on newer Apple Silicon Macs.
*
* Currently mono, but could probably be extended to be stereo somewhat
* easily. I think.
*
* Copyright (C) 2024 James Calligeros
*/
use std::f32::consts::PI;
use lv2::prelude::*;
use nalgebra::{linalg::SVD, Matrix3, Vector3};
use rustfft::{num_complex::Complex, num_traits::Zero, FftPlanner};
use std::sync::Mutex;
const C: f32 = 343.00; /* m*s^-1 */
/// The distance of a given element in the array from the zeroth
/// element
#[derive(Copy, Clone)]
struct ElemDistance {
x: f32,
y: f32,
}
/// Perform a Hilbert transform on a slice of f32s to give us the analytic signal of
/// our input sample buffer. This is necessary to extract phase information from the
/// signal, and to make matrix operations a bit easier.
fn analytic_signal(planner: &mut FftPlanner, signal: &[f32], len: usize) -> Vec> {
// Convert each real sample into a complex sample
let mut complex_signal: Vec> =
signal.iter().map(|&x| Complex::new(x, 0.0)).collect();
// Set up the fft and inverse fft
let fft = planner.plan_fft_forward(len);
let ifft = planner.plan_fft_inverse(len);
// Mutate the output buffer into the forward FFT
fft.process(&mut complex_signal);
// Perform the Hilbert transform on the FFT. To do this, we multiply every
// positive sample under the Nyquist limit by 2+0j, and destroy every sample
// above it.
for i in 0..len {
if i > 0 && i < len / 2 {
complex_signal[i] *= Complex::new(2.0, 0.0);
} else if i >= len / 2 {
complex_signal[i] = Complex::zero();
}
}
// Turn the original complex buffer into the inverse FFT and then normalise
ifft.process(&mut complex_signal);
complex_signal.iter_mut().for_each(|x| *x /= len as f32);
complex_signal
}
/// The steering vector is a representation of the phase delays at each microphone.
/// It is calculated by taking the dot product of the array geometry matrix and the
/// unit vector of the direction of arrival.
fn steering_vec(theta: f32, phi: f32, f: f32, elems: [ElemDistance; 3]) -> Vector3> {
// Mic positions are relative to Left/Top to preserve x/y axis semantics
let mic_positions: Vec> =
elems.iter().map(|e| Vector3::new(e.x, e.y, 0f32)).collect();
// Calculate angular repetency (2pi/lambda)
let repetency = (2f32 * PI) / (f / C);
// Compute the unit vector of the DOA
let u_dir = Vector3::new(phi.sin() * theta.cos(), phi.sin() * theta.sin(), phi.cos());
// Calculate the steering vector by taking the array geometry, speed of sound,
// and DOA unit vector
let mut steering_vector = Vector3::from_element(Complex::new(0f32, 0f32));
for (i, mic_pos) in mic_positions.iter().enumerate() {
let delay = mic_pos.dot(&u_dir) / C;
let phase = -repetency * delay;
steering_vector[i] = Complex::new(phase.cos(), phase.sin());
}
steering_vector
}
/// There's nothing special about this, it's just a covariance matrix. It is always
/// square.
fn covariance(signals: &Vec>>, n_samples: usize) -> Matrix3> {
let mut covar = Matrix3::zeros();
for t in 0..n_samples {
let discrete: Vector3> = Vector3::from_iterator(signals.iter().map(|s| s[t]));
covar += &discrete * discrete.adjoint();
}
// Our samples are shit, so we can't get a very nice covariance matrix.
// Regularise the shit covariance matrix by introducing a constant value
// across the identity
let reg = Matrix3::identity().map(|x: f32| Complex::new(x * 1e-4f32, 0f32));
covar /= Complex::new(n_samples as f32, 0f32);
covar + reg
}
/// To calculate the weighting vector for the beamformer, we need to invert
/// the covariance matrix, multiply it by the steering vector, then divide that
/// by itself multiplied by the Hermitian transpose of the steering vector
/// w = (cov^-1 * sv) / (sv.adjoint() * (cov^-1 * sv)). Note that the denominator
/// is the same as the conjugate-linear dot product of the steering vector and
/// the numerator.
fn mvdr_weights(cov: &Matrix3>, sv: &Vector3>) -> Vector3> {
// Since we have a numerically unstable covariance matrix, we can't take the
// true inverse of it. Let's instead decompose it and take the pseudoinverse.
let svd = SVD::new(cov.to_owned(), true, true);
let r_inv = svd.pseudo_inverse(1e-4f32).unwrap();
let num = r_inv * sv;
let den = sv.dotc(&num); // Conjugate-linear dot product
num / den
}
/*
* Input and output ports used by the plugin
*
*
* Ports:
* in_1: channel 1 input (left/top)
* in_2: channel 2 input (right/bottom)
* in_3: channel 3 input (vertex)
* out: output
* h_angle: horizontal steering angle in degrees (relative to input 1)
* v_angle: vertical steering angle in degrees
* opt_freq: frequency to optimise for
* t_win: covariance matrix time window
*/
#[derive(PortCollection)]
pub struct Ports {
in_1: InputPort