A collection of metrics for evaluating timbre dissimilarity using the TorchMetrics API

Overview

Timbre Dissimilarity Metrics

A collection of metrics for evaluating timbre dissimilarity using the TorchMetrics API

Installation

pip install -e .

Usage

import timbremetrics

datasets = timbremetrics.list_datasets()
dataset = datasets[0] # get the first timbre dataset

# MAE between target dataset and pred embedding distances
metric = timbremetrics.TimbreMAE(
    margin=0.0, dataset=dataset, distance=timbremetrics.l1
)

# get numpy audio for the timbre dataset
audio = timbremetrics.get_audio(dataset)

# get arbitrary embeddings for the timbre dataset's audio
embeddings = net(audio)

# compute the metric
metric(embeddings)

Metrics

The following metrics are implemented.

Mean Squared Error

Gives the mean squared error between the upper triangles of the predicted distance matrix and target distance matrix:

Mean squared error equation

Mean Absolute Error

Gives the mean squared error between the upper triangles of the predicted distance matrix and target distance matrix:

Mean absolute error equation

Item Rank Agreement

Gives the proportion of distances ranked per-item that match between the predicted distance matrix and target distance matrix.

Item rank agreement equation

Where idf is the indicator function given by:

Indicator function

and R_X & R_Y are distances matrices ranked per item such that each row contains the ordinal distances from the corresponding item. We also provide a top-k version which computes this metric considering only the closest k items in each row.

Triplet Agreement

Samples pseudo-triplets from the target distance matrix according to a positivity radius and margin, and returns the proportion of these triplets for which ordering is retained in the predicted distance matrix, with the margin optionally enforced.

Mantel Test

The Mantel test computes Pearson's r or Spearman's rho on the condensed form of the upper triangles of the predicted and target distance matrices. The significance of the given result can be estimated using permutation analysis.

Owner
Ben Hayes
AI & Music PhD researcher @ Centre for Digital Music, QMUL
Ben Hayes
A PyTorch implementation of SlowFast based on ICCV 2019 paper "SlowFast Networks for Video Recognition"

SlowFast A PyTorch implementation of SlowFast based on ICCV 2019 paper SlowFast Networks for Video Recognition. Requirements Anaconda PyTorch conda in

Hao Ren 8 Dec 23, 2022
ALBERT-pytorch-implementation - ALBERT pytorch implementation

ALBERT-pytorch-implementation developing... 모델의 개념이해를 돕기 위한 구현물로 현재 변수명을 상세히 적었고

BG Kim 3 Oct 06, 2022
FaRL for Facial Representation Learning

FaRL for Facial Representation Learning This repo hosts official implementation of our paper General Facial Representation Learning in a Visual-Lingui

Microsoft 19 Jan 05, 2022
Compare GAN code.

Compare GAN This repository offers TensorFlow implementations for many components related to Generative Adversarial Networks: losses (such non-saturat

Google 1.8k Jan 05, 2023
[CVPR 2020] Transform and Tell: Entity-Aware News Image Captioning

Transform and Tell: Entity-Aware News Image Captioning This repository contains the code to reproduce the results in our CVPR 2020 paper Transform and

Alasdair Tran 85 Dec 13, 2022
Semi-SDP Semi-supervised parser for semantic dependency parsing.

Semi-SDP Semi-supervised parser for semantic dependency parsing. This repo contains the code used for the semi-supervised semantic dependency parser i

12 Sep 17, 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts (ICCV 2021)

CrossNorm (CN) and SelfNorm (SN) (Accepted at ICCV 2021) This is the official PyTorch implementation of our CNSN paper, in which we propose CrossNorm

100 Dec 28, 2022
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Realtime Unsupervised Depth Estimation from an Image This is the caffe implementation of our paper "Unsupervised CNN for single view depth estimation:

Ravi Garg 227 Nov 28, 2022
PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021

HyperSPN This repository contains code for the paper: HyperSPNs: Compact and Expressive Probabilistic Circuits "HyperSPNs: Compact and Expressive Prob

8 Nov 08, 2022
This is an unofficial PyTorch implementation of Meta Pseudo Labels

This is an unofficial PyTorch implementation of Meta Pseudo Labels. The official Tensorflow implementation is here.

Jungdae Kim 320 Jan 08, 2023
This code is a near-infrared spectrum modeling method based on PCA and pls

Nirs-Pls-Corn This code is a near-infrared spectrum modeling method based on PCA and pls 近红外光谱分析技术属于交叉领域,需要化学、计算机科学、生物科学等多领域的合作。为此,在(北邮邮电大学杨辉华老师团队)指导下

Fu Pengyou 6 Dec 17, 2022
Allows including an action inside another action (by preprocessing the Yaml file). This is how composite actions should have worked.

actions-includes Allows including an action inside another action (by preprocessing the Yaml file). Instead of using uses or run in your action step,

Tim Ansell 70 Nov 04, 2022
Keeper for Ricochet Protocol, implemented with Apache Airflow

Ricochet Keeper This repository contains Apache Airflow DAGs for executing keeper operations for Ricochet Exchange. Usage You will need to run this us

Ricochet Exchange 5 May 24, 2022
This project intends to use SVM supervised learning to determine whether or not an individual is diabetic given certain attributes.

Diabetes Prediction Using SVM I explore a diabetes prediction algorithm using a Diabetes dataset. Using a Support Vector Machine for my prediction alg

Jeff Shen 1 Jan 14, 2022
Code for ViTAS_Vision Transformer Architecture Search

Vision Transformer Architecture Search This repository open source the code for ViTAS: Vision Transformer Architecture Search. ViTAS aims to search fo

46 Dec 17, 2022
Out-of-boundary View Synthesis towards Full-frame Video Stabilization

Out-of-boundary View Synthesis towards Full-frame Video Stabilization Introduction | Update | Results Demo | Introduction This repository contains the

25 Oct 10, 2022
A fast and easy to use, moddable, Python based Minecraft server!

PyMine PyMine - The fastest, easiest to use, Python-based Minecraft Server! Features Note: This list is not always up to date, and doesn't contain all

PyMine 144 Dec 30, 2022
Pytorch implementation of Hinton's Dynamic Routing Between Capsules

pytorch-capsule A Pytorch implementation of Hinton's "Dynamic Routing Between Capsules". https://arxiv.org/pdf/1710.09829.pdf Thanks to @naturomics fo

Tim Omernick 625 Oct 27, 2022
OSLO: Open Source framework for Large-scale transformer Optimization

O S L O Open Source framework for Large-scale transformer Optimization What's New: December 21, 2021 Released OSLO 1.0. What is OSLO about? OSLO is a

TUNiB 280 Nov 24, 2022
Speech-Emotion-Analyzer - The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Speech Emotion Analyzer The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have

Mitesh Puthran 965 Dec 24, 2022