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| 1 | +//! Example demonstrating audio fingerprinting and similarity detection |
| 2 | +
|
| 3 | +use ferrous_waves::analysis::fingerprint::{ |
| 4 | + FingerprintDatabase, FingerprintGenerator, FingerprintMatcher, |
| 5 | +}; |
| 6 | +use ferrous_waves::{AnalysisEngine, AudioFile}; |
| 7 | +use std::error::Error; |
| 8 | + |
| 9 | +#[tokio::main] |
| 10 | +async fn main() -> Result<(), Box<dyn Error>> { |
| 11 | + println!("Audio Fingerprinting and Similarity Detection Example"); |
| 12 | + println!("====================================================\n"); |
| 13 | + |
| 14 | + // Analyze files and generate fingerprints |
| 15 | + let files = vec![ |
| 16 | + ("samples/drums.wav", "Drum pattern"), |
| 17 | + ("samples/music.wav", "Musical content"), |
| 18 | + ("samples/test.wav", "Test signal"), |
| 19 | + ]; |
| 20 | + |
| 21 | + let engine = AnalysisEngine::new(); |
| 22 | + let generator = FingerprintGenerator::new(44100.0); |
| 23 | + let mut database = FingerprintDatabase::new(); |
| 24 | + |
| 25 | + println!("Generating fingerprints..."); |
| 26 | + println!("-------------------------"); |
| 27 | + |
| 28 | + for (file_path, description) in &files { |
| 29 | + println!("\nAnalyzing: {} ({})", file_path, description); |
| 30 | + |
| 31 | + let audio = AudioFile::load(file_path)?; |
| 32 | + let result = engine.analyze(&audio).await?; |
| 33 | + |
| 34 | + // Display fingerprint info |
| 35 | + let fingerprint = &result.fingerprint; |
| 36 | + |
| 37 | + println!(" Fingerprint Details:"); |
| 38 | + println!(" Perceptual hash: {:016x}", fingerprint.perceptual_hash); |
| 39 | + println!(" Spectral hashes: {}", fingerprint.spectral_hashes.len()); |
| 40 | + println!(" Landmarks: {}", fingerprint.landmarks.len()); |
| 41 | + println!( |
| 42 | + " Sub-fingerprints: {}", |
| 43 | + fingerprint.sub_fingerprints.len() |
| 44 | + ); |
| 45 | + println!( |
| 46 | + " Compact size: {} bytes", |
| 47 | + fingerprint.fingerprint.len() * 8 |
| 48 | + ); |
| 49 | + |
| 50 | + // Show dominant frequencies |
| 51 | + if !fingerprint.metadata.dominant_frequencies.is_empty() { |
| 52 | + println!(" Dominant frequencies:"); |
| 53 | + for freq in fingerprint.metadata.dominant_frequencies.iter().take(3) { |
| 54 | + println!(" {:.1} Hz", freq); |
| 55 | + } |
| 56 | + } |
| 57 | + |
| 58 | + // Show landmark types |
| 59 | + let spectral_peaks = fingerprint |
| 60 | + .landmarks |
| 61 | + .iter() |
| 62 | + .filter(|l| { |
| 63 | + matches!( |
| 64 | + l.landmark_type, |
| 65 | + ferrous_waves::analysis::fingerprint::LandmarkType::SpectralPeak |
| 66 | + ) |
| 67 | + }) |
| 68 | + .count(); |
| 69 | + let onsets = fingerprint |
| 70 | + .landmarks |
| 71 | + .iter() |
| 72 | + .filter(|l| { |
| 73 | + matches!( |
| 74 | + l.landmark_type, |
| 75 | + ferrous_waves::analysis::fingerprint::LandmarkType::OnsetEvent |
| 76 | + ) |
| 77 | + }) |
| 78 | + .count(); |
| 79 | + |
| 80 | + println!(" Landmark breakdown:"); |
| 81 | + println!(" Spectral peaks: {}", spectral_peaks); |
| 82 | + println!(" Onset events: {}", onsets); |
| 83 | + |
| 84 | + // Add to database |
| 85 | + database.insert(file_path.to_string(), fingerprint.clone()); |
| 86 | + } |
| 87 | + |
| 88 | + // Compare fingerprints |
| 89 | + println!("\n\nSimilarity Comparison:"); |
| 90 | + println!("======================"); |
| 91 | + |
| 92 | + let matcher = FingerprintMatcher::new(); |
| 93 | + |
| 94 | + for i in 0..files.len() { |
| 95 | + for j in i + 1..files.len() { |
| 96 | + let (file_a, desc_a) = files[i]; |
| 97 | + let (file_b, desc_b) = files[j]; |
| 98 | + |
| 99 | + let audio_a = AudioFile::load(file_a)?; |
| 100 | + let audio_b = AudioFile::load(file_b)?; |
| 101 | + |
| 102 | + let fp_a = generator.generate(&audio_a.buffer.to_mono())?; |
| 103 | + let fp_b = generator.generate(&audio_b.buffer.to_mono())?; |
| 104 | + |
| 105 | + let match_result = matcher.compare(&fp_a, &fp_b); |
| 106 | + |
| 107 | + println!("\n{} vs {}", desc_a, desc_b); |
| 108 | + println!( |
| 109 | + " Overall similarity: {:.1}%", |
| 110 | + match_result.similarity * 100.0 |
| 111 | + ); |
| 112 | + println!(" Match type: {:?}", match_result.match_type); |
| 113 | + println!(" Confidence: {:.1}%", match_result.confidence * 100.0); |
| 114 | + |
| 115 | + println!(" Detailed scores:"); |
| 116 | + println!(" Spectral: {:.1}%", match_result.scores.spectral * 100.0); |
| 117 | + println!(" Temporal: {:.1}%", match_result.scores.temporal * 100.0); |
| 118 | + println!(" Energy: {:.1}%", match_result.scores.energy * 100.0); |
| 119 | + println!(" Landmark: {:.1}%", match_result.scores.landmark * 100.0); |
| 120 | + println!( |
| 121 | + " Perceptual: {:.1}%", |
| 122 | + match_result.scores.perceptual * 100.0 |
| 123 | + ); |
| 124 | + |
| 125 | + if !match_result.matched_segments.is_empty() { |
| 126 | + println!( |
| 127 | + " Matched segments: {}", |
| 128 | + match_result.matched_segments.len() |
| 129 | + ); |
| 130 | + for (idx, segment) in match_result.matched_segments.iter().enumerate().take(3) { |
| 131 | + println!( |
| 132 | + " {}. [{:.1}s] ↔ [{:.1}s] (quality: {:.1}%)", |
| 133 | + idx + 1, |
| 134 | + segment.time_a, |
| 135 | + segment.time_b, |
| 136 | + segment.quality * 100.0 |
| 137 | + ); |
| 138 | + } |
| 139 | + } |
| 140 | + |
| 141 | + if let Some(offset) = match_result.time_offset { |
| 142 | + println!(" Time offset detected: {:.2}s", offset); |
| 143 | + } |
| 144 | + } |
| 145 | + } |
| 146 | + |
| 147 | + // Database search demonstration |
| 148 | + println!("\n\nDatabase Search:"); |
| 149 | + println!("================"); |
| 150 | + |
| 151 | + // Search with the first file |
| 152 | + if let Some((query_file, query_desc)) = files.first() { |
| 153 | + let audio = AudioFile::load(query_file)?; |
| 154 | + let query_fp = generator.generate(&audio.buffer.to_mono())?; |
| 155 | + |
| 156 | + println!("Searching for: {} in database", query_desc); |
| 157 | + |
| 158 | + let results = database.search(&query_fp, 0.3); |
| 159 | + |
| 160 | + println!("Found {} matches:", results.len()); |
| 161 | + for (id, match_result) in results { |
| 162 | + println!( |
| 163 | + " - {} (similarity: {:.1}%, type: {:?})", |
| 164 | + id, |
| 165 | + match_result.similarity * 100.0, |
| 166 | + match_result.match_type |
| 167 | + ); |
| 168 | + } |
| 169 | + } |
| 170 | + |
| 171 | + // Self-similarity test |
| 172 | + println!("\n\nSelf-Similarity Test:"); |
| 173 | + println!("====================="); |
| 174 | + |
| 175 | + let test_audio = AudioFile::load("samples/test.wav")?; |
| 176 | + let fp1 = generator.generate(&test_audio.buffer.to_mono())?; |
| 177 | + let fp2 = generator.generate(&test_audio.buffer.to_mono())?; |
| 178 | + |
| 179 | + let self_match = matcher.compare(&fp1, &fp2); |
| 180 | + |
| 181 | + println!("Same audio compared to itself:"); |
| 182 | + println!(" Similarity: {:.1}%", self_match.similarity * 100.0); |
| 183 | + println!(" Match type: {:?}", self_match.match_type); |
| 184 | + println!(" Expected: >99% similarity for identical audio"); |
| 185 | + |
| 186 | + // Reference information |
| 187 | + println!("\n\nFingerprinting Reference:"); |
| 188 | + println!("========================"); |
| 189 | + println!("Match Types:"); |
| 190 | + println!(" Identical: >95% similarity"); |
| 191 | + println!(" Very Similar: 85-95% similarity"); |
| 192 | + println!(" Similar: 70-85% similarity"); |
| 193 | + println!(" Partially Similar: 50-70% similarity"); |
| 194 | + println!(" Different: <50% similarity"); |
| 195 | + println!("\nUse Cases:"); |
| 196 | + println!(" - Duplicate detection in music libraries"); |
| 197 | + println!(" - Copyright and content identification"); |
| 198 | + println!(" - Version tracking (remixes, covers)"); |
| 199 | + println!(" - Audio synchronization and alignment"); |
| 200 | + println!(" - Partial matching for samples and loops"); |
| 201 | + println!("\nFingerprint Components:"); |
| 202 | + println!(" - Spectral hashes: Frequency pattern encoding"); |
| 203 | + println!(" - Landmarks: Significant acoustic events"); |
| 204 | + println!(" - Perceptual hash: Overall audio signature"); |
| 205 | + println!(" - Sub-fingerprints: Partial matching support"); |
| 206 | + |
| 207 | + Ok(()) |
| 208 | +} |
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