# US 10,482,123 B2 · Audible acoustic performance tool > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,482,123 B2 - Document ID: US10482123B2 - Status: Granted - Kind: B2 - Application number: 16/122,537 - Filed: 2018-09-05 - Published: 2019-03-07 - Granted: 2019-11-19 - Earliest claimed: 2017-09-05 - Assignees: Columbia Insurance Company - Applicants: Columbia Insurance Company - Inventors: Joseph M. Woodall; Julie B. Brumbelow; Barrett R. Morton; Alan Buttenhoff; Robert Blane Haywood; David Pearson - Web page: https://patentgrep.com/patent/US10482123B2 ## CPC - G06F 16/60: of audio data - G06F 16/164: {File meta data generation} - G06F 16/68: Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually - G06N 5/04: Inference or reasoning models - G06N 20/00: Machine learning - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract In an aspect, provided are methods, systems, and apparatuses comprising receiving a query specifying one or more materials of a floor/ceiling assembly and/or a classification or result, determining one or more media files responsive to the query, and providing the one or more media files for playback. ## Claims ### Claim 1 A method comprising: receiving, by a computing device, data comprising one or more testing parameters, one or more resulting measurements, and one or more classification/result, wherein the data is associated with a plurality of tests; generating, by the computing device, based on the data, a predictive model; receiving, by the computing device, a query comprising at least one of the one or more testing parameters; generating, by the computing device, based on applying the predictive model to the at least one of the one or more testing parameters, one or more predicted resulting measurements and one or more predicted classification/result; comparing, by the computing device, the one or more predicted resulting measurements to the data; identifying, by the computing device, based on the comparison, an existing test, wherein the one or more predicted resulting measurements are within a defined range of resulting measurements of the existing test; and providing, by the computing device, one or more acoustic test recordings associated with the existing acoustic test for playback and the one or more predicted classification/result. ### Claim 2 (depends on 1) The method of claim 1, wherein the one or more testing parameters comprise at least one of a material of a floor/ceiling assembly or a test of the plurality of tests. ### Claim 3 (depends on 1) The method of claim 1, wherein the one or more resulting measurements comprise at least one of dB or absorption. ### Claim 4 (depends on 1) The method of claim 1, wherein the one or more classification/result comprises a sound performance testing result. ### Claim 5 (depends on 1) The method of claim 1, wherein generating the predictive model comprises utilizing one or more predictive analytics algorithms. ### Claim 6 An apparatus comprising: one or more processors; and memory storing processor executable instructions that, when executed by the one or more processors, cause the apparatus to: receive data comprising one or more testing parameters, one or more resulting measurements, and one or more classification/result, wherein the data is associated with a plurality of tests; generate, based on the data, a predictive model; receive a query comprising at least one of the one or more testing parameters; generate, based on applying the predictive model to the at least one of the one or more testing parameters, one or more predicted resulting measurements and one or more predicted classification/result; compare the one or more predicted resulting measurements to the data; identify, based on the comparison, an existing test, wherein the one or more predicted resulting measurements are within a defined range of resulting measurements of the existing test; and provide one or more acoustic test recordings associated with the existing acoustic test for playback and the one or more predicted classification/result. ### Claim 7 (depends on 6) The apparatus of claim 6, wherein the one or more testing parameters comprise at least one of a material of a floor/ceiling assembly or a test of the plurality of tests. ### Claim 8 (depends on 6) The apparatus of claim 6, wherein the one or more resulting measurements comprise at least one of dB or absorption. ### Claim 9 (depends on 6) The apparatus of claim 6, wherein the one or more classification/result comprises a sound performance testing result. ### Claim 10 (depends on 6) The apparatus of claim 6, wherein the processor executable instructions that cause the apparatus to generate the predictive model further cause the apparatus to utilize one or more predictive analytics algorithms. ### Claim 11 A non-transitory computer readable medium storing processor executable instructions that, when executed by at least one processor, cause the at least one processor to: receive data comprising one or more testing parameters, one or more resulting measurements, and one or more classification/result, wherein the data is associated with a plurality of tests; generate, based on the data, a predictive model; receive a query comprising at least one of the one or more testing parameters; generate, based on applying the predictive model to the at least one of the one or more testing parameters, one or more predicted resulting measurements and one or more predicted classification/result; compare the one or more predicted resulting measurements to the data; identify, based on the comparison, an existing test, wherein the one or more predicted resulting measurements are within a defined range of resulting measurements of the existing test; and provide one or more acoustic test recordings associated with the existing acoustic test for playback and the one or more predicted classification/result. ### Claim 12 (depends on 11) The non-transitory computer readable medium of claim 11, wherein the one or more testing parameters comprise at least one of a material of a floor/ceiling assembly or a test of the plurality of tests. ### Claim 13 (depends on 11) The non-transitory computer readable medium of claim 11, wherein the one or more resulting measurements comprise at least one of dB or absorption. ### Claim 14 (depends on 11) The non-transitory computer readable medium of claim 11, wherein the one or more classification/result comprises a sound performance testing result. ### Claim 15 (depends on 11) The non-transitory computer readable medium of claim 11, wherein the processor executable instructions that cause the at least one processor to generate the predictive model further cause the at least one processor to utilize one or more predictive analytics algorithms.