# US 2025/0149033 A1 · Artificial intelligence assistance for an audio, video and control system > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0149033 A1 - Document ID: US20250149033A1 - Status: Published application - Kind: A1 - Application number: 18/585,587 - Filed: 2024-02-23 - Published: 2025-05-08 - Earliest claimed: 2023-11-07 - Assignees: Qsc, LLC - Applicants: Qsc, LLC - Inventors: Derek Wearin Lieb - Web page: https://patentgrep.com/patent/US20250149033A1 ## CPC - G10L 15/22: Procedures used during a speech recognition process, e.g. man-machine dialogue - G10L 15/063: {Training} - G10L 15/183: using context dependencies, e.g. language models - G10L 15/28: Constructional details of speech recognition systems - H04N 7/15: Conference systems - G10L 2015/0638: {Interactive procedures} - G10L 2015/223: {Execution procedure of a spoken command} - G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## Abstract An audio, video and control (“AVC”) operating system is implemented on an AVC processing core coupled to one or more peripheral devices. Using a large learning model (“LLM”) module, the AVC system detects one or more oral commands issued from a user, executes corresponding command sets, and performs actions on the peripheral devices or AVC processing core accordingly. The command sets may be preconfigured and taught by the user. ## Claims ### Claim 1 A computer-implemented method, comprising: implementing an audio, video and control (“AVC”) operating system on an AVC processing core communicably coupled to one or more peripheral devices, the AVC processing core being configured to manage and control functionality of audio, video and control features of the peripheral devices; detecting, using a large language model (“LLM”) module communicably coupled to the AVC processing core, one or more oral commands issued from a user; and performing actions on the peripheral devices or AVC processing core which correspond to the oral commands. ### Claim 2 (depends on 1) The computer-implemented method as defined in claim 1, wherein the LLM module executes a preconfigured command set to perform actions on the peripheral devices. ### Claim 3 (depends on 1) The computer-implemented method as defined in claim 1, wherein the LLM module executes a taught command set to perform actions on the peripheral devices, the taught command set being taught by the user. ### Claim 4 (depends on 3) The computer-implemented method as defined in claim 3, wherein the taught command set is obtained from the user via a web interface. ### Claim 5 (depends on 3) The computer-implemented method as defined in claim 3, wherein the taught command set is obtained from the user via a listening device. ### Claim 6 (depends on 3) The computer-implemented method as defined in claim 3, wherein the AVC processing core communicates the taught command set to one or more secondary AVC processing cores, thereby teaching the secondary AVC processing cores the taught command set. ### Claim 7 (depends on 1) The computer-implemented method as defined in claim 1, wherein the LLM module is accessed from a cloud service, local network service, or on the AVC processing core. ### Claim 8 A system, comprising: one or more peripheral devices; and an audio, video, and control (“AVC”) processing core communicably coupled to the peripheral devices, the AVC processing core having an AVC operating system executable thereon to manage and control functionality of the peripheral devices, wherein the AVC processing core is configured to perform operations comprising: detecting, using a large language model (“LLM”) module communicably coupled to the AVC processing core, one or more oral commands issued from a user; and performing actions on the peripheral devices or AVC processing core which correspond to the oral commands. ### Claim 9 (depends on 8) The system as defined in claim 8, wherein the LLM module executes a preconfigured command set to perform actions on the peripheral devices. ### Claim 10 (depends on 8) The system as defined in claim 8, wherein the LLM module executes a taught command set to perform actions on the peripheral devices, the taught command set being taught by the user. ### Claim 11 (depends on 10) The system as defined in claim 10, wherein the taught command set is obtained from the user via a web interface. ### Claim 12 (depends on 10) The system as defined in claim 10, wherein the taught command set is obtained from the user via a listening device. ### Claim 13 (depends on 10) The system as defined in claim 10, wherein the AVC processing core communicates the taught command set to one or more secondary AVC processing cores, thereby teaching the secondary AVC processing cores the taught command set. ### Claim 14 (depends on 8) The system as defined in claim 8, wherein the LLM module is accessed from a cloud service, local network service or on the AVC processing core. ### Claim 15 A non-transitory computer-readable storage medium storing instructions that, when executed by a computing system, cause the computing system to perform operations comprising: implementing an audio, video and control (“AVC”) operating system on an AVC processing core communicably coupled to one or more peripheral devices, the AVC processing core being configured to manage and control functionality of audio, video and control features of the peripheral devices; detecting, using a large language model (“LLM”) module communicably coupled to the AVC processing core, one or more oral commands issued from a user; and performing actions on the peripheral devices or AVC processing core which correspond to the oral commands. ### Claim 16 (depends on 15) The computer-readable storage medium as defined in claim 15, wherein the LLM module executes a preconfigured command set to perform actions on the peripheral devices. ### Claim 17 (depends on 15) The computer-readable storage medium as defined in claim 15, wherein the LLM module executes a taught command set to perform actions on the peripheral devices, the taught command set being taught by the user. ### Claim 18 (depends on 17) The computer-readable storage medium as defined in claim 17, wherein the taught command set is obtained from the user via a web interface or from the user via a listening device. ### Claim 19 (depends on 17) The computer-readable storage medium as defined in claim 17, wherein the AVC processing core communicates the taught command set to one or more secondary AVC processing cores, thereby teaching the secondary AVC processing cores the taught command set. ### Claim 20 (depends on 17) The computer-readable storage medium as defined in claim 17, wherein the LLM module is accessed from a cloud service, local network service or on the AVC processing core.