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aether_timbre/
transfer.rs

1//! Timbre transfer — apply a target instrument's spectral envelope to a source signal.
2
3use rustfft::{FftPlanner, num_complex::Complex};
4use crate::analysis::SpectralEnvelope;
5
6/// Applies spectral envelope transfer in real time using overlap-add.
7pub struct TimbreTransfer {
8    fft_size: usize,
9    hop_size: usize,
10    /// Target spectral envelope to impose.
11    target_envelope: Option<SpectralEnvelope>,
12    /// Transfer amount: 0.0 = no transfer, 1.0 = full transfer.
13    pub amount: f32,
14    /// Input overlap buffer.
15    input_buffer: Vec<f32>,
16    /// Output overlap-add buffer.
17    output_buffer: Vec<f32>,
18    /// Analysis window.
19    window: Vec<f32>,
20    planner: FftPlanner<f32>,
21}
22
23impl TimbreTransfer {
24    pub fn new(fft_size: usize) -> Self {
25        let fft_size = fft_size.next_power_of_two();
26        let hop_size = fft_size / 4;
27        let window: Vec<f32> = (0..fft_size)
28            .map(|i| 0.5 * (1.0 - (2.0 * std::f32::consts::PI * i as f32 / (fft_size - 1) as f32).cos()))
29            .collect();
30        Self {
31            fft_size,
32            hop_size,
33            target_envelope: None,
34            amount: 1.0,
35            input_buffer: vec![0.0; fft_size * 2],
36            output_buffer: vec![0.0; fft_size * 2],
37            window,
38            planner: FftPlanner::new(),
39        }
40    }
41
42    /// Set the target spectral envelope.
43    pub fn set_target(&mut self, envelope: SpectralEnvelope) {
44        self.target_envelope = Some(envelope);
45    }
46
47    /// Clear the target (pass-through mode).
48    pub fn clear_target(&mut self) {
49        self.target_envelope = None;
50    }
51
52    /// Process a block of audio samples.
53    /// Returns the processed output (same length as input).
54    pub fn process_block(&mut self, input: &[f32]) -> Vec<f32> {
55        if self.target_envelope.is_none() || self.amount < 0.001 {
56            return input.to_vec();
57        }
58
59        let target = self.target_envelope.as_ref().unwrap();
60        let fft = self.planner.plan_fft_forward(self.fft_size);
61        let ifft = self.planner.plan_fft_inverse(self.fft_size);
62
63        let mut output = vec![0.0f32; input.len()];
64
65        // Simple single-frame processing for now (full overlap-add in v0.2)
66        // Process in fft_size chunks
67        let mut pos = 0;
68        while pos + self.fft_size <= input.len() {
69            // Apply window
70            let mut buf: Vec<Complex<f32>> = input[pos..pos + self.fft_size]
71                .iter()
72                .zip(self.window.iter())
73                .map(|(&s, &w)| Complex::new(s * w, 0.0))
74                .collect();
75
76            // Forward FFT
77            fft.process(&mut buf);
78
79            // Extract source envelope and apply target envelope
80            let n_bins = self.fft_size / 2 + 1;
81            let mut source_env = vec![0.0f32; n_bins];
82            for i in 0..n_bins {
83                source_env[i] = buf[i].norm().max(1e-10);
84            }
85            let smoothed_source = smooth(&source_env, 4);
86
87            for i in 0..n_bins {
88                let src_mag = smoothed_source[i];
89                let tgt_mag = target.magnitudes.get(i).copied().unwrap_or(1.0).max(1e-10);
90                let ratio = (tgt_mag / src_mag).powf(self.amount);
91                // Apply ratio to both positive and negative frequency bins
92                buf[i] = buf[i] * ratio;
93                if i > 0 && i < self.fft_size - i {
94                    buf[self.fft_size - i] = buf[self.fft_size - i] * ratio;
95                }
96            }
97
98            // Inverse FFT
99            ifft.process(&mut buf);
100
101            // Normalize and overlap-add
102            let norm = 1.0 / self.fft_size as f32;
103            for (j, s) in buf.iter().enumerate().take(self.fft_size) {
104                if pos + j < output.len() {
105                    let dry = input[pos + j];
106                    let wet = s.re * norm;
107                    output[pos + j] = dry * (1.0 - self.amount) + wet * self.amount;
108                }
109            }
110
111            pos += self.hop_size;
112        }
113
114        // Copy remaining samples unchanged
115        for i in pos..input.len() {
116            output[i] = input[i];
117        }
118
119        output
120    }
121}
122
123fn smooth(v: &[f32], w: usize) -> Vec<f32> {
124    let n = v.len();
125    let mut out = vec![0.0f32; n];
126    for i in 0..n {
127        let s = i.saturating_sub(w / 2);
128        let e = (i + w / 2 + 1).min(n);
129        out[i] = v[s..e].iter().sum::<f32>() / (e - s) as f32;
130    }
131    out
132}