IP Library Granted Patent US 12,593,194
Granted Patent B2
US 12,593,194 · App. 18/635,390 · Granted Mar 31, 2026

Virtual bass enhancement based on source separation

Inventors: Alessandro Ilic Mezza (Milan, IT); Riccardo Giampiccolo (Cisliano, IT); Alberto Bernardini (Milan, IT); Augusto Sarti (Seregno, IT)
Assignee: INVENTVM Semiconductor Srl
H04S7/307H04S3/008H04S2400/01H04S2400/13
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Quick Facts
Patent No.
US 12,593,194
App. No.
18/635,390
Granted
Mar 31, 2026
Kind
B2
Abstract

A virtual bass enhancing device for enhancing a virtual bass of an input audio signal includes a demixer, configured to extract at least one audio channel from the input audio signal, wherein the audio channel corresponds to an acoustic source, or to a group of acoustic sources, of the input audio signal, at least one virtual bass enhancing unit configured to generate overtones for enhancing a bass perception of the audio channel, and at least one adder configured to add the overtones to the input audio signal so as to generate an enhanced audio signal.

Claims (62)

1 . A virtual bass enhancing device for enhancing a virtual bass of an input audio signal, the virtual bass enhancing device comprising:

a demixer, configured to extract at least one audio channel from the input audio signal, wherein the at least one audio channel corresponds to an acoustic source, or to a group of acoustic sources, of the input audio signal,

at least one virtual bass enhancing unit configured to generate overtones for enhancing a bass perception of the at least one audio channel,

at least one adder configured to add the overtones to the input audio signal so as to generate an enhanced audio signal.

2 . The virtual bass enhancing device according to claim 1 , wherein the demixer comprises at least one neural network trained to extract the at least one audio channel from the input audio signal.

3 . The virtual bass enhancing device according to claim 1 , wherein the demixer comprises a plurality of neural networks trained to extract a respective plurality of audio channels from the input audio signal.

4 . The virtual bass enhancing device according to claim 1 , further comprising:

at least one filter configured to filter the at least one audio channel and output at least one filtered audio channel,

wherein at least one virtual bass enhancing unit is configured to generate overtones for enhancing the bass perception of the at least one filtered audio channel.

5 . The virtual bass enhancing device according to claim 1 , wherein the virtual bass enhancing unit is a time-domain virtual bass enhancing unit.

6 . The virtual bass enhancing device according to claim 4 , wherein the at least one filter is a linear-phase digital filter, or a zero-phase digital filter.

7 . The virtual bass enhancing device according to claim 4 , further comprising at least one subtractor configured to subtract the at least one filtered audio channel from the input audio signal.

8 . The virtual bass enhancing device according to claim 1 , wherein the at least one virtual bass enhancing unit comprises a normalization unit, a non-linear device, and a gain unit.

9 . The virtual bass enhancing device according to claim 1 , wherein the at least one virtual bass enhancing unit is configured to implement at least a function ƒ(x) having a continuous first derivative and second derivative having a value smaller than 1 in the interval (0,1].

10 . The virtual bass enhancing device according to claim 9 , wherein the at least one virtual bass enhancing unit is configured to implement at least a function ƒ(x)=tanh (kx)

where

k is a predetermined value, preferably equal to, and/or larger than 1.

11 . The virtual bass enhancing device according to claim 9 , wherein the at least one virtual bass enhancing unit is configured to implement at least a function ƒ(x):

f

(

x

)

=

{

atsr

(

x

)

if

x

0

tanh

(

kx

)

if

x

<

0

where

“k” is a constant value equal to 2.25;

“tanh” is the hyperbolic tangent function;

and “atsr” is the Arc-Tangent Square Root function.

12 . The virtual bass enhancing device according to claim 1 , further comprising:

a high-pass filter, receiving as input the enhanced audio signal and outputting a filtered enhanced audio signal,

a peak normalizer and a loudness normalizer, operating on the filtered enhanced audio signal.

13 . The virtual bass enhancing device according to claim 12 , wherein

the virtual bass enhancing device is configured to be used with a transducer having a cut-off frequency,

the high-pass filter has a cut-off frequency corresponding to the transducer cut-off frequency.

14 . The virtual bass enhancing device according to claim 1 , wherein the acoustic source comprises any of drum, vocal or a musical instrument.

15 . A virtual bass enhancing device for enhancing a virtual bass of an input audio signal, the virtual bass enhancing device comprising a processor and a memory,

the memory comprising instructions to cause the processor to implement a demixer, configured to extract at least one audio channel from the input audio signal, wherein the at least one audio channel corresponds to an acoustic source, or to a group of acoustic sources, of the input audio signal,

the memory further comprising instructions to cause the processor to implement at least one virtual bass enhancing unit configured to generate overtones for enhancing a bass perception of the at least one audio channel,

the memory further comprising instructions to cause the processor to implement at least one adder configured to add the overtones to the input audio signal so as to generate an enhanced audio signal.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 22, 2024
From: MEZZA, ALESSANDRO ILIC; GIAMPICCOLO, RICCARDO; BERNARDINI, ALBERTO; SARTI, AUGUSTO
To: INVENTVM SEMICONDUCTOR SRL
Reel/Frame 069377/0871 →
Priority Claims (1)
EP 23168140 · Apr 15, 2023 · regional
Continuity (1)
Related Publication 20240349009A1 · Oct 17, 2024
References Cited (28)
US 9794689B2 · You · 2017 [cited by examiner]
US 10893362B2 · You · 2021 [cited by examiner]
US 20150312676A1 · Ekstrand · 2015 [cited by examiner]
US 20240045644A1 · Welti · 2024 [cited by examiner]
US 20240155290A1 · Hiroe · 2024 [cited by applicant]
CN 114067827 · 2022 [cited by applicant]
CN 114299976 · 2022 [cited by applicant]
CN 116072133A · 2023 [cited by examiner]
CN 115442709B · 2023 [cited by examiner]
EP 3811514B1 · 2023 [cited by examiner]
JP 2014116657A · 2014 [cited by applicant]
JP 2015195432A · 2015 [cited by applicant]
WO WO2012161781 · 2012 [cited by applicant]
WO WO2021154211 · 2021 [cited by applicant]
WO WO2021161543 · 2021 [cited by applicant]
WO WO2022190615 · 2022 [cited by applicant]
R. Giampiccolo et al. “Virtual Bass Enhancement via Music Demixing,” IEEE Signal Processing Letters, vol. 30, pp. 908-912 (Jul. 19, 2023). [cited by applicant]
M. Bai et al., “Synthesis and Implementation of Virtual Bass System with a Phase-Vocoder Approach,” J. Audio Eng. Soc., vol. 54, No. 11, pp. 1077-1091 (Nov. 2006). [cited by applicant]
D. Ben-Tzur et al., “The Effect of the MaxxBass Psychoacoustic Bass Enhancement System on Loudspeaker Design,” in Proceedings of the 106th Audio Engineering Society Convention (May 8, 1999) (11 pages). [cited by applicant]
European Broadcasting Union, R 128—Loudness Normalisation and Permitted Maximum Level of Audio Signals (Jun. 2014) (5 pages). [cited by applicant]
R. Giampiccolo et al., “A Time-Domain Virtual Bass Enhancement Circuital Model for Real-Time Music Applications,” IEEE 24th International Workshop on Multimedia Signal Processing (MMSP) (Sep. 26-28, 2022) (5 pages). [cited by applicant]
A Hill et al., “A hybrid virtual bass system for optimized steady-state and transient performance,” in Proceedings of the 2nd Computer Science and Electronic Engineering Conference (CEEC) (2010) (6 pages). [cited by applicant]
E. Larsen et al., Audio Bandwidth Extension: Application of Psychoacoustics, Signal Processing and Loudspeaker Design (2004) (313 pages). [cited by applicant]
E. Manilow et al.: “Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity” in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 45-4… [cited by applicant]
E. Moliner et al., “Virtual Bass System with Fuzzy Separation of Tones and Transients,” in Proceedings of the 23rd International Conference on Digital Audio Effects (DAFx2020) pp. 86-93 (Sep. 2020). [cited by applicant]
H. Mu et al.: A Timbre Matching Approach to Enhance Audio Quality of Psychoacoustic Bass Enhancement System, pp. 36-40 (2013). [cited by applicant]
N. Oo et al., “Harmonic Analysis of Nonlinear Devices for Virtual Bass System,” in Proceedings of the Int. Conf. Audio, Language, and Image Processing, pp. 279-284 (2008). [cited by applicant]
N. Oo et al., “Perceptually-Motivated Objective Grading of Nonlinear Processing in Virtual-Bass Systems,” J. Audio Eng. Soc., vol. 59, No. 11, pp. 804-824 (Nov. 2011). [cited by applicant]