1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
use crate::node::Node;
use crate::{convolve, crossfade, plot_mono, svec, Buffer, Context, SmallVec};
use arrayvec::ArrayVec;
use hound::WavReader;
use std::path::Path;
pub struct Convolution {
previous_kernel_left: SmallVec<[f32; 1024]>,
previous_kernel_right: SmallVec<[f32; 1024]>,
elevation: i32,
azimuth: u32,
all_left_convoluted: SmallVec<[SmallVec<[f32; 1024]>; 8]>,
all_right_convoluted: SmallVec<[SmallVec<[f32; 1024]>; 8]>,
to_remove: SmallVec<[usize; 8]>,
need_crossfade: usize,
crossfade_step: usize,
step: u32,
count: u32,
}
impl Convolution {
// pub fn new<P: AsRef<Path>>(paths: [P; 2]) -> Self {
pub fn new(elevation: i32, azimuth: u32) -> Self {
// let mut kernel_left: ArrayVec<f32, 512> = ArrayVec::new();
// let mut kernel_right: ArrayVec<f32, 512> = ArrayVec::new();
// plot_mono(&kernel_left);
// for (i, path) in paths.iter().enumerate() {
// let mut reader = WavReader::open(path).expect("Failed to open WAV file");
// let spec = reader.spec();
// assert_eq!(spec.channels, 1, "Convolution kernel must be mono");
// for result in reader.samples::<i16>() {
// let sample = result.unwrap() as f32 / i16::MAX as f32;
// match i {
// 0 => kernel_left.push(sample),
// 1 => kernel_right.push(sample),
// _ => panic!("We need two kernels!"),
// }
// }
// }
// let kernel_len = kernel_right.len();
// println!("Kernel length: {}", kernel_len);
Self {
previous_kernel_left: svec![],
previous_kernel_right: svec![],
elevation,
azimuth,
all_left_convoluted: svec![],
all_right_convoluted: svec![],
to_remove: svec![],
need_crossfade: 0,
crossfade_step: 0,
step: 0,
count: 0,
}
}
pub fn boxed(self) -> Box<dyn Node + Send> {
Box::new(self)
}
}
impl Node for Convolution {
fn process(&mut self, buffer: &mut Buffer, context: &mut Context) {
let buffer_len = buffer[0].len();
// let mut need_crossfade = 0;
if self.azimuth != (self.step / 5) * 5 {
self.need_crossfade = 10;
}
if self.need_crossfade == 0 {
let left_convoluted = convolve(
&buffer[0],
context
.ir_lib
.get(&(0, self.elevation, self.azimuth))
.unwrap(),
);
let right_convoluted = convolve(
&buffer[1],
context
.ir_lib
.get(&(1, self.elevation, self.azimuth))
.unwrap(),
);
self.all_left_convoluted.push(left_convoluted);
self.all_right_convoluted.push(right_convoluted);
} else {
println!(
"doing crossfade {} {} {}!",
self.need_crossfade,
self.azimuth,
(self.step / 5) * 5
);
if self.need_crossfade == 10 {
println!(
"write kernel to self {} {}!",
self.azimuth,
(self.step / 5) * 5
);
self.previous_kernel_left = SmallVec::from_vec(
context
.ir_lib
.get(&(0, self.elevation, self.azimuth))
.unwrap()
.clone(),
);
self.previous_kernel_right = SmallVec::from_vec(
context
.ir_lib
.get(&(1, self.elevation, self.azimuth))
.unwrap()
.clone(),
);
}
let new_kernel_left = context
.ir_lib
.get(&(0, self.elevation, (self.step / 5) * 5))
.unwrap();
let new_kernel_right = context
.ir_lib
.get(&(1, self.elevation, (self.step / 5) * 5))
.unwrap();
self.azimuth = (self.step / 5) * 5;
let crossfade_kernel_left = crossfade(
&self.previous_kernel_left,
&new_kernel_left,
self.need_crossfade,
);
let crossfade_kernel_right = crossfade(
&self.previous_kernel_right,
&new_kernel_right,
self.need_crossfade,
);
let left_convoluted = convolve(&buffer[0], &crossfade_kernel_left);
let right_convoluted = convolve(&buffer[1], &crossfade_kernel_right);
self.all_left_convoluted.push(left_convoluted);
self.all_right_convoluted.push(right_convoluted);
self.need_crossfade -= 1;
}
for n in 0..buffer_len {
buffer[0][n] = 0.0;
buffer[1][n] = 0.0;
for (i, convoluted) in self.all_left_convoluted.iter_mut().enumerate() {
if convoluted.is_empty() {
self.to_remove.push(i);
continue;
} else {
buffer[0][n] += convoluted.remove(0);
buffer[1][n] += self.all_right_convoluted[i].remove(0);
}
}
for i in self.to_remove.iter().rev() {
self.all_left_convoluted.remove(*i);
self.all_right_convoluted.remove(*i);
}
self.to_remove.clear();
}
self.count += 1;
if self.count % 100 == 0 {
eprintln!("New step: {}", self.step);
self.step = (self.step + 28) % 360;
self.count = 0;
}
}
}
// pub fn convolution<P: AsRef<Path>>(paths: [P; 2]) -> Convolution {
// Convolution::new(paths)
// }
pub fn convolution(elevation: i32, azimuth: u32) -> Convolution {
Convolution::new(elevation, azimuth)
}