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
|
pub const RMS_ANALYSIS_WINDOW_SECONDS: f64 = 0.02;
pub fn sample_bucket_range(
start_sample: usize,
end_sample: usize,
bucket_index: usize,
bucket_count: usize,
) -> (usize, usize) {
let range_length = end_sample.saturating_sub(start_sample);
let bucket_start = start_sample + bucket_index * range_length / bucket_count;
let bucket_end = start_sample + (bucket_index + 1) * range_length / bucket_count;
(bucket_start, bucket_end.max(bucket_start))
}
pub fn extract_peak_range(
samples: &[f32],
channels: usize,
count: usize,
start_sample: usize,
end_sample: usize,
) -> Vec<f32> {
let channels = channels.max(1);
let frames = samples.len() / channels;
let end = end_sample.min(frames);
let start = start_sample.min(end);
let mut peaks = vec![0.0_f32; count];
for (index, peak) in peaks.iter_mut().enumerate() {
let (bucket_start, bucket_end) = sample_bucket_range(start, end, index, count);
let mut bucket_peak = 0.0_f32;
for frame in bucket_start..bucket_end {
for channel in 0..channels {
let magnitude = samples[frame * channels + channel].abs();
if magnitude > bucket_peak {
bucket_peak = magnitude;
}
}
}
*peak = bucket_peak;
}
peaks
}
pub fn extract_rms_windowed(
samples: &[f32],
channels: usize,
sample_rate: u32,
buckets: &[(usize, usize)],
) -> Vec<f32> {
let channels = channels.max(1);
let max_window =
(f64::from(sample_rate) * RMS_ANALYSIS_WINDOW_SECONDS).floor().max(1.0) as usize;
buckets
.iter()
.map(|&(bucket_start, bucket_end)| {
let bucket_length = bucket_end.saturating_sub(bucket_start);
if bucket_length == 0 {
return 0.0;
}
let window_length = bucket_length.min(max_window).max(1);
let mut max_mean_square = 0.0_f64;
let mut window_start = bucket_start;
while window_start < bucket_end {
let window_end = (window_start + window_length).min(bucket_end);
let n = window_end - window_start;
let mut sum = 0.0_f64;
for frame in window_start..window_end {
for channel in 0..channels {
let value = f64::from(samples[frame * channels + channel]);
sum += value * value;
}
}
let mean_square = sum / (n * channels) as f64;
if mean_square > max_mean_square {
max_mean_square = mean_square;
}
window_start = window_end;
}
max_mean_square.sqrt() as f32
})
.collect()
}
pub fn extract_rms_range(
samples: &[f32],
channels: usize,
sample_rate: u32,
count: usize,
start_sample: usize,
end_sample: usize,
) -> Vec<f32> {
let buckets: Vec<(usize, usize)> = (0..count)
.map(|index| sample_bucket_range(start_sample, end_sample, index, count))
.collect();
extract_rms_windowed(samples, channels, sample_rate, &buckets)
}
pub fn extract_rms_buckets(
samples: &[f32],
channels: usize,
sample_rate: u32,
bucket_count: usize,
) -> Vec<f32> {
let frames = samples.len() / channels.max(1);
extract_rms_range(samples, channels, sample_rate, bucket_count, 0, frames)
}
|