HRTF Machine Learning Project

Generate an HRTF based on the input of direction of source, ear size, and headsize

HDF5 Format

Datasets are stored in the hdf5 format with the following structure

subject
	hrir_l, hrir_r, srcpos
	attrs
		fs
		(depends on dataset)

Additionaly spherical coordinates are represented in the folloing manner

$$(azimuth\ \theta, elevation\ \phi, r)$$

with the following conversions

$$x = r\cos(\theta)\cos(\phi)$$ $$y = r\sin(\theta)\cos(\phi)$$ $$z = r\sin(\phi)$$

(0, 90) is directory above. (0, 0) is directly in front. (90, 0) is directory left. (90,0) is directly right.

Cipic Docs

Var	Meaning
$x_{1}$	head width
$x_{2}$	head height
$x_{3}$	head depth
$x_{4}$	pinna offset down
$x_{5}$	pinna offset back
$x_{6}$	neck width
$x_{7}$	neck height
$x_{8}$	neck depth
$x_{9}$	torso top width
$x_{10}$	torso top height
$x_{11}$	torso top depth
$x_{12}$	shoulder width
$x_{13}$	head offset forward
$x_{14}$	height
$x_{15}$	seated height
$x_{16}$	head circumference
$x_{17}$	shoulder circumference
$d_{1}$	cavum concha height
$d_{2}$	cymba concha height
$d_{3}$	cavum concha width
$d_{4}$	fossa height
$d_{5}$	pinna height
$d_{6}$	pinna width
$d_{7}$	intertragal incisure width
$d_{8}$	cavum concha depth
$\theta_{1}$	pinna rotation angle
$\theta_{2}$	pinna flare angle

Python Packages

• h5py
• numpy
• scipy