Method of localizing a sound source, a hearing device, and a hearing system
US-10219083-B2 · Feb 26, 2019 · US
US11922964B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11922964-B2 |
| Application number | US-201917633191-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 8, 2019 |
| Priority date | Aug 8, 2019 |
| Publication date | Mar 5, 2024 |
| Grant date | Mar 5, 2024 |
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Sound source enhancement technology is provided that is capable of improving sound source enhancement capabilities in accordance with settings of usage and applications. A PSD optimization device includes a PSD updating unit that takes a target sound PSD input value {circumflex over ( )}φS(ω, τ), an interference noise PSD input value {circumflex over ( )}φIN(ω, τ), and a background noise PSD input value {circumflex over ( )}φBN(ω, τ) as input, and generates a target sound PSD output value φS(ω, τ), an interference noise PSD output value {circumflex over ( )}φIN(ω, τ), and a background noise PSD output value {circumflex over ( )}φBN(ω, τ), by solving an optimization problem for a cost function relating to a variable uS representing a target sound PSD, a variable uIN representing an interference noise PSD, and a variable uBN representing a background noise PSD. The optimization problem for the cost function is defined using at least one of a constraint relating to a frequency structure of a sound source or a convex cost term relating to the frequency structure of the sound source, a constraint relating to a temporal structure of the sound source or a convex cost term relating to the temporal structure of the sound source, and a constraint relating to a spatial structure of the sound source or a convex cost term relating to the spatial structure of the sound source.
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The invention claimed is: 1. A power spectral density (PSD) optimization device including a PSD updating unit that, with us as a variable representing a target sound PSD, u IN as a variable representing an interference noise PSD, and u BN as a variable representing a background noise PSD, takes a target sound PSD input value {circumflex over ( )}φ S (ω, τ), an interference noise PSD input value {circumflex over ( )}φ IN (ω, τ), and a background noise PSD input value {circumflex over ( )}φ BN (ω, τ) as input, and generates a target sound PSD output value φ S (ω, τ), an interference noise PSD output value φ IN (ω, τ), and a background noise PSD output value φ BN (ω, τ), by solving an optimization problem for a cost function relating to the variable u S , the variable u IN , and the variable u BN , wherein the optimization problem for the cost function is defined using at least one of a constraint relating to a frequency structure of a sound source or a convex cost term relating to the frequency structure of the sound source, a constraint relating to a temporal structure of the sound source or a convex cost term relating to the temporal structure of the sound source, and a constraint relating to a spatial structure of the sound source or a convex cost term relating to the spatial structure of the sound source. 2. The PSD optimization device according to claim 1 , wherein a convex cost term L relating to the frequency structure is defined by L ( u S ) = μ Λ u S 1 + ρ 2 Λ u S - Λ φ ^ S 2 2 where μ, ρ(∈R + ) are weighting coefficients, Λ(∈R Ω×Ω ) is a predetermined sparse matrix, and Ω is a count of frequency bands. 3. The PSD optimization device according to claim 1 , wherein, with u BN,τ as a variable representing the background noise PSD at a time frame τ, and {circumflex over ( )}φ BN,τ−1 as a background noise PSD estimation value at time frame τ−1, a convex cost term L relating to the temporal structure is defined by L ( u BN , τ ) = γ BN 2 φ ^ BN , τ - 1 - u BN , τ 2 2 where γ BN (∈R + ) is a weighting coefficient. 4. The PSD optimization device according to claim 1 , wherein, with c as a PSD estimation value of enhanced signals of the sound source at the target sound direction-of-arrival θ S , the constraint relating to the spatial structure is defined by u S +u IN +u BN =c. 5. The PSD optimization device according to claim 1 , wherein, with u=[u S T , u IN T , u BN T ] T , and v as an auxiliary variable of variable u, the optimization problem for the cost function is defined as a problem in which inf u,v F 1 (u)+F 2 (v) (where F 1 and F 2 are convex functions) is solved under linear constraints relating to the variables u and v, and where the linear constraints relating to the variables u and v include at least one of a constraint relating to the frequency structure of the sound source, a constraint relating to the temporal structure of the sound source, and a constraint relating to the spatial structure of the sound source, or F 1 (u)+F 2 (v) includes at least one of a convex cost term relating to the frequency structure of the sound source, a convex cost term relating to the temporal structure of the sound source, and a convex cost term relating to the spatial structure of the sound source. 6. The PSD optimization device according to claim 5 , wherein linear constraints regarding the variables u and v are Au=v,Bu=c,u≥ 0 where A=[Λ 0 0], B=[I, I, I], c is the PSD estimation value of enhanced signals of the sound source at the target sound direction-of-arrival θ S , Λ(∈R Ω×Ω ) is a predetermined sparse matrix, I(∈R Ω×Ω ) is an identity matrix, and Ω is the number of frequency bands, F 1 (u) and F 2 (v) are each F 1 ( u ) = 1 2 W 1 / 2 (
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