The invention relates to the technical field of sound
source localization, in particular to a sound source direction localization method and
system based on
deep learning feature mapping, and the method comprises the steps: collecting an
audio signal through an edge calculation front end of an integrated voice
sensor array and a
field programmable gate array, executing the neural generalized cross-correlation phase transformation, and carrying out the
deep learning feature mapping; generating an acoustic feature
tensor with denaturation such as displacement through a learnable filtering layer; inputting into a depth sound
source localization network, carrying out space-time modeling by using a
state space model, and resolving three-dimensional space coordinates; and outputting to a holographic sound rendering unit, and calculating an
excitation amplitude parameter to reconstruct a holographic
sound field. According to the method, the
edge computing front end is combined with the depth sound
source localization network,
reverberation is suppressed by using a learnable filtering layer, the computing power
bottleneck is broken through by means of linear computing complexity of a
state space model, high-precision three-dimensional tracking is realized, a
wave field synthesis
algorithm is driven to synchronize a virtual sound source, and immersive experience is created.