Change analysis from Vec<f32> to Analysis

This commit is contained in:
Polochon-street 2021-06-01 18:02:15 +02:00
parent d286965a2e
commit f3612fa3cc
6 changed files with 508 additions and 105 deletions

270
Cargo.lock generated
View file

@ -6,15 +6,30 @@ version = "1.0.2"
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[[package]] [[package]]
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@ -23,7 +38,7 @@ checksum = "d9b39be18770d11421cdb1b9947a45dd3f37e93092cbf377614828a319d5fee8"
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"libc", "libc",
"winapi", "winapi 0.3.9",
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[[package]] [[package]]
@ -42,12 +57,12 @@ dependencies = [
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"clang-sys", "clang-sys",
"lazy_static", "lazy_static 1.4.0",
"lazycell", "lazycell",
"peeking_take_while", "peeking_take_while",
"proc-macro2", "proc-macro2",
"quote", "quote",
"regex", "regex 1.5.4",
"rustc-hash", "rustc-hash",
"shlex", "shlex",
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@ -60,13 +75,13 @@ checksum = "cf1de2fe8c75bc145a2f577add951f8134889b4795d47466a54a5c846d691693"
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"lazy_static", "lazy_static 1.4.0",
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@ -77,6 +92,8 @@ dependencies = [
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"rustfft", "rustfft",
"serde", "serde",
"strum",
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@ -96,6 +113,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]] [[package]]
@ -140,6 +158,27 @@ version = "1.4.3"
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@ -170,6 +209,16 @@ version = "1.0.0"
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[[package]] [[package]]
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@ -233,7 +282,7 @@ checksum = "52fb27eab85b17fbb9f6fd667089e07d6a2eb8743d02639ee7f6a7a7729c9c94"
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@ -256,7 +305,7 @@ checksum = "4feb231f0d4d6af81aed15928e58ecf5816aa62a2393e2c82f46973e92a9a278"
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[[package]] [[package]]
@ -292,7 +341,7 @@ dependencies = [
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"humantime", "humantime",
"log", "log",
"regex", "regex 1.5.4",
"termcolor", "termcolor",
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@ -327,6 +376,30 @@ dependencies = [
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] ]
[[package]]
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@ -339,6 +412,23 @@ dependencies = [
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[[package]]
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@ -381,6 +471,15 @@ version = "0.9.1"
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@ -424,6 +523,22 @@ dependencies = [
"libc", "libc",
] ]
[[package]]
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@ -449,7 +564,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]] [[package]]
@ -476,6 +591,15 @@ dependencies = [
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] ]
[[package]]
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@ -558,10 +682,21 @@ version = "5.1.2"
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@ -601,6 +736,17 @@ dependencies = [
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] ]
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@ -800,21 +946,40 @@ dependencies = [
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"crossbeam-utils", "crossbeam-utils",
"lazy_static", "lazy_static 1.4.0",
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@ -902,6 +1067,24 @@ version = "0.2.3"
source = "registry+https://github.com/rust-lang/crates.io-index" source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]]
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"syn",
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[[package]] [[package]]
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@ -942,6 +1125,35 @@ dependencies = [
"syn", "syn",
] ]
[[package]]
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[[package]]
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[[package]] [[package]]
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@ -964,12 +1176,24 @@ version = "0.1.3"
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[[package]] [[package]]
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@ -988,6 +1212,12 @@ version = "0.10.2+wasi-snapshot-preview1"
source = "registry+https://github.com/rust-lang/crates.io-index" source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]] [[package]]
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@ -998,6 +1228,12 @@ dependencies = [
"winapi-x86_64-pc-windows-gnu", "winapi-x86_64-pc-windows-gnu",
] ]
[[package]]
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[[package]] [[package]]
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[[package]] [[package]]
@ -1026,7 +1262,9 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
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dependencies = [ dependencies = [
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"thiserror", "thiserror",
"time",
] ]

View file

@ -1,13 +1,13 @@
[package] [package]
name = "bliss-audio" name = "bliss-audio"
version = "0.1.3" version = "0.2.3"
authors = ["Polochon-street <polochonstreet@gmx.fr>"] authors = ["Polochon-street <polochonstreet@gmx.fr>"]
edition = "2018" edition = "2018"
license = "GPL-3.0-only" license = "GPL-3.0-only"
description = "A song analysis library for making playlists" description = "A song analysis library for making playlists"
homepage = "https://lelele.io/bliss.html" homepage = "https://lelele.io/bliss.html"
repository = "https://github.com/Polochon-street/bliss-rs" repository = "https://github.com/Polochon-street/bliss-rs"
keywords = ["audio", "analysis", "MIR", "playlist"] keywords = ["audio", "analysis", "MIR", "playlist", "similarity"]
readme = "README.md" readme = "README.md"
[package.metadata.docs.rs] [package.metadata.docs.rs]
@ -41,4 +41,6 @@ thiserror = "1.0.24"
# Until https://github.com/aubio/aubio/issues/336 is somehow solved # Until https://github.com/aubio/aubio/issues/336 is somehow solved
# Hopefully we'll be able to use the official aubio-rs at some point. # Hopefully we'll be able to use the official aubio-rs at some point.
bliss-audio-aubio-rs = "0.2.0" bliss-audio-aubio-rs = "0.2.0"
strum = "0.21"
strum_macros = "0.21"
serde = { version = "1.0", optional = true, features = ["derive"] } serde = { version = "1.0", optional = true, features = ["derive"] }

View file

@ -10,7 +10,7 @@ fn main() {
let args: Vec<String> = env::args().skip(1).collect(); let args: Vec<String> = env::args().skip(1).collect();
for path in &args { for path in &args {
match Song::new(&path) { match Song::new(&path) {
Ok(song) => println!("{}: {:?}", path, song.analysis,), Ok(song) => println!("{}: {:?}", path, song.analysis),
Err(e) => println!("{}: {}", path, e), Err(e) => println!("{}: {}", path, e),
} }
} }

View file

@ -1,3 +1,5 @@
//! # bliss audio library
//!
//! bliss is a library for making "smart" audio playlists. //! bliss is a library for making "smart" audio playlists.
//! //!
//! The core of the library is the `Song` object, which relates to a //! The core of the library is the `Song` object, which relates to a
@ -17,6 +19,49 @@
//! It should be as easy as implementing the necessary traits for [Library]. //! It should be as easy as implementing the necessary traits for [Library].
//! A reference implementation for the MPD player is available //! A reference implementation for the MPD player is available
//! [here](https://github.com/Polochon-street/blissify-rs) //! [here](https://github.com/Polochon-street/blissify-rs)
//!
//! # Examples
//!
//! ## Analyze & compute the distance between two songs
//! ```no_run
//! use bliss_audio::{BlissError, Song};
//!
//! fn main() -> Result<(), BlissError> {
//! let song1 = Song::new("/path/to/song1")?;
//! let song2 = Song::new("/path/to/song2")?;
//!
//! println!("Distance between song1 and song2 is {}", song1.distance(&song2));
//! Ok(())
//! }
//! ```
//!
//! ### Make a playlist from a song
//! ```no_run
//! use bliss_audio::{BlissError, Song};
//! use ndarray::{arr1, Array};
//! use noisy_float::prelude::n32;
//!
//! fn main() -> Result<(), BlissError> {
//! let paths = vec!["/path/to/song1", "/path/to/song2", "/path/to/song3"];
//! let mut songs: Vec<Song> = paths
//! .iter()
//! .map(|path| Song::new(path))
//! .collect::<Result<Vec<Song>, BlissError>>()?;
//!
//! // Assuming there is a first song
//! let first_song = songs.first().unwrap().to_owned();
//!
//! songs.sort_by_cached_key(|song| n32(first_song.distance(&song)));
//! println!(
//! "Playlist is: {:?}",
//! songs
//! .iter()
//! .map(|song| &song.path)
//! .collect::<Vec<&String>>()
//! );
//! Ok(())
//! }
//! ```
#![cfg_attr(feature = "bench", feature(test))] #![cfg_attr(feature = "bench", feature(test))]
#![warn(missing_docs)] #![warn(missing_docs)]
#![warn(missing_doc_code_examples)] #![warn(missing_doc_code_examples)]
@ -35,13 +80,13 @@ extern crate num_cpus;
extern crate serde; extern crate serde;
use thiserror::Error; use thiserror::Error;
pub use song::Song;
pub use library::Library; pub use library::Library;
pub use song::{Analysis, AnalysisIndex, Song};
const CHANNELS: u16 = 1; const CHANNELS: u16 = 1;
const SAMPLE_RATE: u32 = 22050; const SAMPLE_RATE: u32 = 22050;
#[derive(Error, Debug, PartialEq)] #[derive(Error, Clone, Debug, PartialEq)]
/// Umbrella type for bliss error types /// Umbrella type for bliss error types
pub enum BlissError { pub enum BlissError {
#[error("error happened while decoding file {0}")] #[error("error happened while decoding file {0}")]

View file

@ -1,8 +1,7 @@
//! Module containing the Library trait, useful to get started to implement //! Module containing the Library trait, useful to get started to implement
//! a plug-in for an audio player. //! a plug-in for an audio player.
use crate::{BlissError, Song}; use crate::{BlissError, Song};
use log::{error, info, warn}; use log::{debug, error, info};
use ndarray::{arr1, Array};
use noisy_float::prelude::*; use noisy_float::prelude::*;
use std::sync::mpsc; use std::sync::mpsc;
use std::sync::mpsc::{Receiver, Sender}; use std::sync::mpsc::{Receiver, Sender};
@ -43,18 +42,16 @@ pub trait Library {
first_song: Song, first_song: Song,
playlist_length: usize, playlist_length: usize,
) -> Result<Vec<Song>, BlissError> { ) -> Result<Vec<Song>, BlissError> {
let analysis_current_song = arr1(&first_song.analysis.to_vec()); let analysis_current_song = first_song.analysis;
let mut songs = self.get_stored_songs()?; let mut songs = self.get_stored_songs()?;
let m = Array::eye(first_song.analysis.len()); songs.sort_by_cached_key(|song| n32(analysis_current_song.distance(&song.analysis)));
songs.sort_by_cached_key(|song| {
n32((arr1(&song.analysis) - &analysis_current_song) let playlist = songs
.dot(&m)
.dot(&(arr1(&song.analysis) - &analysis_current_song)))
});
Ok(songs
.into_iter() .into_iter()
.take(playlist_length) .take(playlist_length)
.collect::<Vec<Song>>()) .collect::<Vec<Song>>();
debug!("Playlist created: {:?}", playlist);
Ok(playlist)
} }
/// Analyze and store songs in `paths`, using `store_song` and /// Analyze and store songs in `paths`, using `store_song` and
@ -103,11 +100,14 @@ pub trait Library {
info!("Analyzed and stored song '{}' successfully.", song.path) info!("Analyzed and stored song '{}' successfully.", song.path)
} }
Err(e) => { Err(e) => {
self.store_error_song(path.to_string(), e) self.store_error_song(path.to_string(), e.to_owned())
.unwrap_or_else(|e| { .unwrap_or_else(|e| {
error!("Error while storing errored song '{}': {}", path, e) error!("Error while storing errored song '{}': {}", path, e)
}); });
warn!("Analysis of song '{}' failed. Storing error.", path) error!(
"Analysis of song '{}': {} failed. Error has been stored.",
path, e
)
} }
} }
} }
@ -134,6 +134,7 @@ pub trait Library {
#[cfg(test)] #[cfg(test)]
mod test { mod test {
use super::*; use super::*;
use crate::song::Analysis;
#[derive(Default)] #[derive(Default)]
struct TestLibrary { struct TestLibrary {
@ -247,7 +248,7 @@ mod test {
let test_library = FailingLibrary {}; let test_library = FailingLibrary {};
let song = Song { let song = Song {
path: String::from("path-to-first"), path: String::from("path-to-first"),
analysis: vec![0., 0., 0.], analysis: Analysis::new([0.; 20]),
..Default::default() ..Default::default()
}; };
@ -304,11 +305,6 @@ mod test {
String::from("./data/white_noise.flac"), String::from("./data/white_noise.flac"),
], ],
); );
test_library
.internal_storage
.iter()
.for_each(|x| assert!(x.analysis.len() > 0));
} }
#[test] #[test]
@ -316,25 +312,25 @@ mod test {
let mut test_library = TestLibrary::default(); let mut test_library = TestLibrary::default();
let first_song = Song { let first_song = Song {
path: String::from("path-to-first"), path: String::from("path-to-first"),
analysis: vec![0., 0., 0.], analysis: Analysis::new([0.; 20]),
..Default::default() ..Default::default()
}; };
let second_song = Song { let second_song = Song {
path: String::from("path-to-second"), path: String::from("path-to-second"),
analysis: vec![0.1, 0., 0.], analysis: Analysis::new([0.1; 20]),
..Default::default() ..Default::default()
}; };
let third_song = Song { let third_song = Song {
path: String::from("path-to-third"), path: String::from("path-to-third"),
analysis: vec![10., 11., 10.], analysis: Analysis::new([10.; 20]),
..Default::default() ..Default::default()
}; };
let fourth_song = Song { let fourth_song = Song {
path: String::from("path-to-fourth"), path: String::from("path-to-fourth"),
analysis: vec![20., 21., 20.], analysis: Analysis::new([20.; 20]),
..Default::default() ..Default::default()
}; };
@ -355,19 +351,19 @@ mod test {
let mut test_library = TestLibrary::default(); let mut test_library = TestLibrary::default();
let first_song = Song { let first_song = Song {
path: String::from("path-to-first"), path: String::from("path-to-first"),
analysis: vec![0., 0., 0.], analysis: Analysis::new([0.; 20]),
..Default::default() ..Default::default()
}; };
let second_song = Song { let second_song = Song {
path: String::from("path-to-second"), path: String::from("path-to-second"),
analysis: vec![0.1, 0., 0.], analysis: Analysis::new([0.1; 20]),
..Default::default() ..Default::default()
}; };
let third_song = Song { let third_song = Song {
path: String::from("path-to-third"), path: String::from("path-to-third"),
analysis: vec![10., 11., 10.], analysis: Analysis::new([10.; 20]),
..Default::default() ..Default::default()
}; };

View file

@ -19,6 +19,7 @@ use crate::temporal::BPMDesc;
use crate::timbral::{SpectralDesc, ZeroCrossingRateDesc}; use crate::timbral::{SpectralDesc, ZeroCrossingRateDesc};
use crate::{BlissError, SAMPLE_RATE}; use crate::{BlissError, SAMPLE_RATE};
use ::log::warn; use ::log::warn;
use core::ops::Index;
use crossbeam::thread; use crossbeam::thread;
use ffmpeg_next::codec::threading::{Config, Type as ThreadingType}; use ffmpeg_next::codec::threading::{Config, Type as ThreadingType};
use ffmpeg_next::software::resampling::context::Context; use ffmpeg_next::software::resampling::context::Context;
@ -30,10 +31,14 @@ use ffmpeg_next::util::format::sample::{Sample, Type};
use ffmpeg_next::util::frame::audio::Audio; use ffmpeg_next::util::frame::audio::Audio;
use ffmpeg_next::util::log; use ffmpeg_next::util::log;
use ffmpeg_next::util::log::level::Level; use ffmpeg_next::util::log::level::Level;
use ndarray::{arr1, Array}; use ndarray::{arr1, Array, Array1};
use std::convert::TryInto;
use std::fmt;
use std::sync::mpsc; use std::sync::mpsc;
use std::sync::mpsc::Receiver; use std::sync::mpsc::Receiver;
use std::thread as std_thread; use std::thread as std_thread;
use strum::{EnumCount, IntoEnumIterator};
use strum_macros::{EnumCount, EnumIter};
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))] #[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
#[derive(Default, Debug, PartialEq, Clone)] #[derive(Default, Debug, PartialEq, Clone)]
@ -52,14 +57,126 @@ pub struct Song {
pub track_number: String, pub track_number: String,
/// Song's genre, read from the metadata (`""` if empty) /// Song's genre, read from the metadata (`""` if empty)
pub genre: String, pub genre: String,
/// Vec containing analysis, in order: tempo, zero-crossing rate, /// bliss analysis results
/// mean spectral centroid, std deviation spectral centroid, pub analysis: Analysis,
/// mean spectral rolloff, std deviation spectral rolloff }
/// mean spectral_flatness, std deviation spectral flatness,
/// mean loudness, std deviation loudness, chroma interval feature 1 to 10. #[derive(Debug, EnumIter, EnumCount)]
/// Indexes different fields of an [Analysis](Song::analysis).
///
/// * Example:
/// ```no_run
/// use bliss_audio::{AnalysisIndex, BlissError, Song};
///
/// fn main() -> Result<(), BlissError> {
/// let song = Song::new("path/to/song")?;
/// println!("{}", song.analysis[AnalysisIndex::Tempo]);
/// Ok(())
/// }
/// ```
///
/// Prints the tempo value of an analysis.
///
/// Note that this should mostly be used for debugging / distance metric
/// customization purposes.
#[allow(missing_docs)]
pub enum AnalysisIndex {
Tempo,
Zcr,
MeanSpectralCentroid,
StdDeviationSpectralCentroid,
MeanSpectralRolloff,
StdDeviationSpectralRolloff,
MeanSpectralFlatness,
StdDeviationSpectralFlatness,
MeanLoudness,
StdDeviationLoudness,
Chroma1,
Chroma2,
Chroma3,
Chroma4,
Chroma5,
Chroma6,
Chroma7,
Chroma8,
Chroma9,
Chroma10,
}
const NUMBER_FEATURES: usize = AnalysisIndex::COUNT;
#[derive(Default, PartialEq, Clone, Copy)]
/// Object holding the results of the song's analysis.
///
/// Only use it if you want to have an in-depth look of what is
/// happening behind the scene, or make a distance metric yourself.
///
/// Under the hood, it is just an array of f32 holding different numeric
/// features.
///
/// For more info on the different features, build the
/// documentation with private items included using
/// `cargo doc --document-private-items`, and / or read up
/// [this document](https://lelele.io/thesis.pdf), that contains a description
/// on most of the features, except the chroma ones, which are documented
/// directly in this code.
pub struct Analysis {
internal_analysis: [f32; NUMBER_FEATURES],
}
impl Index<AnalysisIndex> for Analysis {
type Output = f32;
fn index(&self, index: AnalysisIndex) -> &f32 {
&self.internal_analysis[index as usize]
}
}
impl fmt::Debug for Analysis {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
let mut debug_struct = f.debug_struct("Analysis");
for feature in AnalysisIndex::iter() {
debug_struct.field(&format!("{:?}", feature), &self[feature]);
}
debug_struct.finish()?;
f.write_str(&format!(" /* {:?} */", &self.to_vec()))
}
}
impl Analysis {
pub(crate) fn new(analysis: [f32; NUMBER_FEATURES]) -> Analysis {
Analysis {
internal_analysis: analysis,
}
}
/// Return an ndarray `arr1`.
/// ///
/// All the numbers are between -1 and 1. /// Particularly useful if you want to make a custom distance metric.
pub analysis: Vec<f32>, pub fn to_arr1(&self) -> Array1<f32> {
arr1(&self.internal_analysis)
}
#[allow(dead_code)]
pub(crate) fn to_vec(&self) -> Vec<f32> {
self.internal_analysis.to_vec()
}
/// Return the [euclidean
/// distance](https://en.wikipedia.org/wiki/Euclidean_distance#Higher_dimensions)
/// between two analysis.
///
/// Note that it is usually easier to just use [`song.distance(song2)`](Song::distance)
/// (which calls this function in turn).
pub fn distance(&self, other: &Self) -> f32 {
let a1 = self.to_arr1();
let a2 = other.to_arr1();
// Could be any square symmetric positive semi-definite matrix;
// just no metric learning has been done yet.
// See https://lelele.io/thesis.pdf chapter 4.
let m = Array::eye(NUMBER_FEATURES);
(self.to_arr1() - &a2).dot(&m).dot(&(&a1 - &a2)).sqrt()
}
} }
impl Song { impl Song {
@ -71,14 +188,7 @@ impl Song {
/// (e.g. if song1.distance(song2) < song1.distance(song3), then song1 is /// (e.g. if song1.distance(song2) < song1.distance(song3), then song1 is
/// closer to song2 than it is to song3. /// closer to song2 than it is to song3.
pub fn distance(&self, other: &Self) -> f32 { pub fn distance(&self, other: &Self) -> f32 {
let a1 = arr1(&self.analysis.to_vec()); self.analysis.distance(&other.analysis)
let a2 = arr1(&other.analysis.to_vec());
// Could be any square symmetric positive semi-definite matrix;
// just no metric learning has been done yet.
// See https://lelele.io/thesis.pdf chapter 4.
let m = Array::eye(self.analysis.len());
(arr1(&self.analysis) - &a2).dot(&m).dot(&(&a1 - &a2))
} }
/// Returns a decoded Song given a file path, or an error if the song /// Returns a decoded Song given a file path, or an error if the song
@ -122,7 +232,7 @@ impl Song {
* Useful in the rare cases where the full song is not * Useful in the rare cases where the full song is not
* completely available. * completely available.
**/ **/
fn analyse(sample_array: Vec<f32>) -> Result<Vec<f32>, BlissError> { fn analyse(sample_array: Vec<f32>) -> Result<Analysis, BlissError> {
let largest_window = vec![ let largest_window = vec![
BPMDesc::WINDOW_SIZE, BPMDesc::WINDOW_SIZE,
ChromaDesc::WINDOW_SIZE, ChromaDesc::WINDOW_SIZE,
@ -207,7 +317,14 @@ impl Song {
result.extend_from_slice(&flatness); result.extend_from_slice(&flatness);
result.extend_from_slice(&loudness); result.extend_from_slice(&loudness);
result.extend_from_slice(&chroma); result.extend_from_slice(&chroma);
Ok(result) let array: [f32; NUMBER_FEATURES] = result.try_into().map_err(|_| {
BlissError::AnalysisError(
"Too many or too little features were provided at the end of
the analysis."
.to_string(),
)
})?;
Ok(Analysis::new(array))
}) })
.unwrap() .unwrap()
} }
@ -226,9 +343,7 @@ impl Song {
let stream = format let stream = format
.streams() .streams()
.find(|s| s.codec().medium() == ffmpeg::media::Type::Audio) .find(|s| s.codec().medium() == ffmpeg::media::Type::Audio)
.ok_or_else(|| BlissError::DecodingError(String::from( .ok_or_else(|| BlissError::DecodingError(String::from("No audio stream found.")))?;
"No audio stream found.",
)))?;
stream.codec().set_threading(Config { stream.codec().set_threading(Config {
kind: ThreadingType::Frame, kind: ThreadingType::Frame,
count: 0, count: 0,
@ -477,7 +592,7 @@ mod tests {
-0.9820945, -0.9820945,
-0.95968974, -0.95968974,
]; ];
for (x, y) in song.analysis.iter().zip(expected_analysis) { for (x, y) in song.analysis.to_vec().iter().zip(expected_analysis) {
assert!(0.01 > (x - y).abs()); assert!(0.01 > (x - y).abs());
} }
} }
@ -582,48 +697,28 @@ mod tests {
#[test] #[test]
fn test_analysis_distance() { fn test_analysis_distance() {
let mut a = Song::default(); let mut a = Song::default();
a.analysis = vec![ a.analysis = Analysis::new([
0.37860596, 0.16391512, 0.11326739, 0.96868552, 0.8353934, 0.49867523, 0.76532606, 0.63448005,
-0.75483, 0.82506196, 0.71457147, 0.62395476, 0.69680329, 0.9855766, 0.41369333, 0.13900452,
-0.85036564, 0.68001012, 0.11029723, 0.97192943, 0.57727861, 0.07994821, 0.88993185,
-0.6326486, ]);
-0.77610075,
0.27126348,
-1.,
0.,
1.,
];
let mut b = Song::default(); let mut b = Song::default();
b.analysis = vec![ b.analysis = Analysis::new([
0.31255, 0.5075758, 0.36440256, 0.28888011, 0.43032829, 0.62387977, 0.61894916, 0.99676086,
0.15483, 0.11913155, 0.00640396, 0.15943407, 0.33829514, 0.34947174, 0.82927523, 0.18987604,
-0.15036564, 0.54437275, 0.22076826, 0.91232151, 0.29233168, 0.32846024, 0.04522147,
-0.0326486, ]);
-0.87610075, assert_eq!(a.distance(&b), 1.9469079)
-0.27126348,
1.,
0.,
1.,
];
assert_eq!(a.distance(&b), 5.986180)
} }
#[test] #[test]
fn test_analysis_distance_indiscernible() { fn test_analysis_distance_indiscernible() {
let mut a = Song::default(); let mut a = Song::default();
a.analysis = vec![ a.analysis = Analysis::new([
0.37860596, 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16., 17., 18., 19.,
-0.75483, 20.,
-0.85036564, ]);
-0.6326486,
-0.77610075,
0.27126348,
-1.,
0.,
1.,
];
assert_eq!(a.distance(&a), 0.) assert_eq!(a.distance(&a), 0.)
} }
@ -640,6 +735,33 @@ mod tests {
BlissError::DecodingError(String::from("No audio stream found.")), BlissError::DecodingError(String::from("No audio stream found.")),
); );
} }
#[test]
fn test_index_analysis() {
let song = Song::new("data/s16_mono_22_5kHz.flac").unwrap();
assert_eq!(song.analysis[AnalysisIndex::Tempo], 0.3846389);
assert_eq!(song.analysis[AnalysisIndex::Chroma10], -0.95968974);
}
#[test]
fn test_debug_analysis() {
let song = Song::new("data/s16_mono_22_5kHz.flac").unwrap();
assert_eq!(
"Analysis { Tempo: 0.3846389, Zcr: -0.849141, MeanSpectralCentroid: \
-0.75481045, StdDeviationSpectralCentroid: -0.8790748, MeanSpectralR\
olloff: -0.63258266, StdDeviationSpectralRolloff: -0.7258959, MeanSp\
ectralFlatness: -0.7757379, StdDeviationSpectralFlatness: -0.8146726\
, MeanLoudness: 0.2716726, StdDeviationLoudness: 0.25779057, Chroma1\
: -0.35661936, Chroma2: -0.63578653, Chroma3: -0.29593682, Chroma4: \
0.06421304, Chroma5: 0.21852458, Chroma6: -0.581239, Chroma7: -0.946\
6835, Chroma8: -0.9481153, Chroma9: -0.9820945, Chroma10: -0.95968974 } \
/* [0.3846389, -0.849141, -0.75481045, -0.8790748, -0.63258266, -0.\
7258959, -0.7757379, -0.8146726, 0.2716726, 0.25779057, -0.35661936, \
-0.63578653, -0.29593682, 0.06421304, 0.21852458, -0.581239, -0.946\
6835, -0.9481153, -0.9820945, -0.95968974] */",
format!("{:?}", song.analysis),
);
}
} }
#[cfg(all(feature = "bench", test))] #[cfg(all(feature = "bench", test))]