Control theory | Signal processing

Head-related transfer function

A head-related transfer function (HRTF), also known as anatomical transfer function (ATF), is a response that characterizes how an ear receives a sound from a point in space. As sound strikes the listener, the size and shape of the head, ears, ear canal, density of the head, size and shape of nasal and oral cavities, all transform the sound and affect how it is perceived, boosting some frequencies and attenuating others. Generally speaking, the HRTF boosts frequencies from 2–5 kHz with a primary resonance of +17 dB at 2,700 Hz. But the response curve is more complex than a single bump, affects a broad frequency spectrum, and varies significantly from person to person. A pair of HRTFs for two ears can be used to synthesize a binaural sound that seems to come from a particular point in space. It is a transfer function, describing how a sound from a specific point will arrive at the ear (generally at the outer end of the auditory canal). Some consumer home entertainment products designed to reproduce surround sound from stereo (two-speaker) headphones use HRTFs. Some forms of HRTF-processing have also been included in computer software to simulate surround sound playback from loudspeakers. Humans have just two ears, but can locate sounds in three dimensions – in range (distance), in direction above and below (elevation), in front and to the rear, as well as to either side (azimuth). This is possible because the brain, inner ear, and the external ears (pinna) work together to make inferences about location. This ability to localize sound sources may have developed in humans and ancestors as an evolutionary necessity, since the eyes can only see a fraction of the world around a viewer, and vision is hampered in darkness, while the ability to localize a sound source works in all directions, to varying accuracy, regardless of the surrounding light. Humans estimate the location of a source by taking cues derived from one ear (monaural cues), and by comparing cues received at both ears (difference cues or binaural cues). Among the difference cues are time differences of arrival and intensity differences. The monaural cues come from the interaction between the sound source and the human anatomy, in which the original source sound is modified before it enters the ear canal for processing by the auditory system. These modifications encode the source location, and may be captured via an impulse response which relates the source location and the ear location. This impulse response is termed the head-related impulse response (HRIR). Convolution of an arbitrary source sound with the HRIR converts the sound to that which would have been heard by the listener if it had been played at the source location, with the listener's ear at the receiver location. HRIRs have been used to produce virtual surround sound. The HRTF is the Fourier transform of HRIR. HRTFs for left and right ear (expressed above as HRIRs) describe the filtering of a sound source (x(t)) before it is perceived at the left and right ears as xL(t) and xR(t), respectively. The HRTF can also be described as the modifications to a sound from a direction in free air to the sound as it arrives at the eardrum. These modifications include the shape of the listener's outer ear, the shape of the listener's head and body, the acoustic characteristics of the space in which the sound is played, and so on. All these characteristics will influence how (or whether) a listener can accurately tell what direction a sound is coming from. In the AES69-2015 standard, the Audio Engineering Society (AES) has defined the SOFA file format for storing spatially oriented acoustic data like head-related transfer functions (HRTFs). SOFA software libraries and files are collected at the Sofa Conventions website. (Wikipedia).

Head-related transfer function
Video thumbnail

What are Transfer Functions? | Control Systems in Practice

This video introduces transfer functions - a compact way of representing the relationship between the input into a system and its output. It covers why transfer functions are so popular and what they are used for. Learn more: - MATLAB Tech Talk: 4 Ways to Implement a Transfer Function in

From playlist Control Systems in Practice

Video thumbnail

Transfer Functions: Introduction and Implementation

In this video we introduce transfer functions and show how they can be derived from a set of linear, ordinary differential equations. We also examine how to use a transfer function to predict the output of system to a given input. Topics and time stamps: 0:38 – Example using an aircraft

From playlist Control Theory

Video thumbnail

Head Tracking for Desktop VR Displays using the WiiRemote

Using the infrared camera in the Wii remote and a head mounted sensor bar (two IR LEDs), you can accurately track the location of your head and render view dependent images on the screen. This effectively transforms your display into a portal to a virtual environment. The display properly

From playlist Staff Favorites

Video thumbnail

Frequency Response

Transfer Functions, Resonance, and Frequency Response. My Patreon page is at: https://www.patreon.com/EugeneK

From playlist Physics

Video thumbnail

Lecture: Bode diagram sketch 2018-10-22

Construction of bode diagrams from asymptotes and back

From playlist Lectures

Video thumbnail

The Anatomy of the Brain

In this lecture, Mr Kevin Silber (University of Derby) thinks about how the human brain in structured, focusing in particular on: (i) the division of the brain into three areas and each of their constituent parts; (ii) the hindbrain: the role of the medulla oblongata in controlling vital l

From playlist Psychology

Video thumbnail

Transfer Functions - Of Sound Mind

Transfer functions are a powerful tool for modeling signal response. Join me and special guest Julian as we explore the theory and practice. Sections: 0:00 Intro 0:54 Motivation 2:00 Laplace transform and transfer function 5:18 Attenuation 10:16 Reverb 14:38 Showcase 15:43 Other applicat

From playlist Summer of Math Exposition 2 videos

Video thumbnail

The Peripheral Nervous System: Nerves and Sensory Organs

We've learned about one main division of the nervous system, the central nervous system, so let's learn about the other. That's the peripheral nervous system. This is the part that receives information from your surroundings and brings it to the brain, and when the brain decides what to do

From playlist Anatomy & Physiology

Video thumbnail

Working with Transfer Functions in MATLAB

Learn how to work with transfer functions using MATLAB® and Control System Toolbox™. This video demonstrates how you can create a transfer function to model a linear-time invariant system. Two transfer functions are combined to create a plant model. You can add a controller, and compute

From playlist Control System Design and Analysis

Video thumbnail

🔥Computer Networks Full Course | Computer Network Security | Networking Course 2022 | Simplilearn

🔥Free Cyber Security Course With Completion Certificate: https://www.simplilearn.com/learn-cyber-security-basics-skillup?utm_campaign=CNFC07Aug22&utm_medium=DescriptionFirstFold&utm_source=youtube This video on computer network full course is designed and deployed in collaboration with re

From playlist Simplilearn Live

Video thumbnail

DDPS | Model order reduction assisted by deep neural networks (ROM-net)

In this talk from June 10, 2021, David Ryckelynck of MINES ParisTech University discusses a general framework for projection-based model order reduction assisted by deep neural networks. The proposed methodology, called ROM-net [1], consists in using deep learning techniques to adapt the

From playlist Data-driven Physical Simulations (DDPS) Seminar Series

Video thumbnail

Matrix Equations and Model Reduction Lecture 3

Peter Benner from the Max Planck Institute presents: Matrix Equations and Model Reduction

From playlist Gene Golub SIAM Summer School Videos

Video thumbnail

Lecture: Convolution and Laplace transform intuition 2018 09 04

I discuss the convolution and ways in which the impulse response can be used to find the response of a system without doing the math

From playlist Laplace

Video thumbnail

Reduced-Order Modeling and Inversion for Large-Scale Problems of Geophysical Exploration

Date and Time: Thursday, May 12, 2022, 12:00pm Eastern time zone Speaker: Mikhail Zaslavsky, Schlumberger Doll Research Abstract: Geophysical exploration using electromagnetic and seismic method involves large-scale forward and nonlinear inverse problems that often have to be solved in re

From playlist SIAM Geosciences Webinar Series

Video thumbnail

Stanford CS330: Deep Multi-task and Meta Learning | 2020 | Lecture 2 - Multi-Task Learning

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3vM17K0 This lecture covers: Multi-Task Learning -Problem Statement -Models, objectives, optimization -Challenges -Case study of real-world multi learning Transfer

From playlist Stanford CS330: Deep Multi-task and Meta Learning | Autumn 2020

Video thumbnail

Integrable stochastic interacting systems (Lecture - 3) by Tomohiro Sasamoto

PROGRAM :UNIVERSALITY IN RANDOM STRUCTURES: INTERFACES, MATRICES, SANDPILES ORGANIZERS :Arvind Ayyer, Riddhipratim Basu and Manjunath Krishnapur DATE & TIME :14 January 2019 to 08 February 2019 VENUE :Madhava Lecture Hall, ICTS, Bangalore The primary focus of this program will be on the

From playlist Universality in random structures: Interfaces, Matrices, Sandpiles - 2019

Video thumbnail

Peter Benner: Matrix Equations and Model Reduction, Lecture 4

Peter Benner from the Max Planck Institute presents: Matrix Equations and Model Reduction; Lecture 4

From playlist Gene Golub SIAM Summer School Videos

Video thumbnail

Transference

Transference is a very useful word from psychoanalysis which describes the process whereby we react to situations in the present according to a pattern laid down in the past, usually in childhood. Getting to know our own particular transferences is part of becoming a sane adult. If you lik

From playlist RELATIONSHIPS

Video thumbnail

AI Weekly Update - June 23rd, 2021 (#36!)

Content Links: Break-It-Fix-It: https://arxiv.org/pdf/2106.06600.pdf SimGAN: https://ai.googleblog.com/2021/06/learning-accurate-physics-simulator-via.html AugLy: https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/ Scientific LMs for Bio

From playlist AI Research Weekly Updates

Related pages

Interpolation | Frequency | Nyquist rate | 3D sound reconstruction | Time-invariant system | Maximum length sequence | Spherical coordinate system | Signal-to-noise ratio | Transfer function | Frequency domain | Lasso (statistics) | Fourier transform | Impulse response | Convolution