# US 2026/0229230 A1 · Method for speech recognition, computer device and storage medium > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0229230 A1 - Document ID: US20260229230A1 - Status: Published application - Kind: A1 - Application number: 19/458,396 - Filed: 2026-01-23 - Published: 2026-08-06 - Earliest claimed: 2025-01-24 - Assignees: Beijing Zitiao Network Technology Co., Ltd. - Applicants: Beijing Zitiao Network Technology Co., Ltd. - Inventors: Lu LIU; Lu Huang; Jun Zhang - Web page: https://patentgrep.com/patent/US20260229230A1 ## CPC - G10L 15/22: Procedures used during a speech recognition process, e.g. man-machine dialogue - G10L 15/08: Speech classification or search - G10L 15/1822: {Parsing for meaning understanding} - G10L 2015/088: {Word spotting} - 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 ## Abstract A method for speech recognition, a computer device, and a storage medium are provided. The method includes: receiving a speech input by a user; recognizing the speech to determine first content information and intention information corresponding to the speech, and function information associated with the intention information; in response to the first content information recognized not matching the speech, calling a function corresponding to the function information to determine second content information based on the first content information through an application programming interface (API) corresponding to the function; and generating a recognition result of the speech based on the intention information and the second content information. ## Claims ### Claim 1 A method for speech recognition, comprising: receiving a speech input by a user; recognizing the speech to determine first content information and intention information corresponding to the speech, and function information associated with the intention information; in response to the first content information recognized failing to match the speech, calling a function corresponding to the function information to determine second content information based on the first content information through an application programming interface (API) corresponding to the function; and generating a recognition result of the speech based on the intention information and the second content information. ### Claim 2 (depends on 1) The method of claim 1, further comprising: obtaining a plurality of keywords associated with the intention information; in response to the first content information recognized failing to match the plurality of keywords, determining that the first content information recognized fails to match the speech; or in response to the first content information recognized matching a target keyword among the plurality of keywords, determining that the first content information recognized matches the speech. ### Claim 3 (depends on 2) The method of claim 2, wherein the plurality of keywords comprise at least one selected from the group consisting of a plurality of words and a plurality of phrases in a field associated with the intention information which are searched for more than a preset number of times within a preset time period. ### Claim 4 (depends on 1) The method of claim 1, wherein the recognizing the speech to determine first content information and intention information corresponding to the speech, and function information associated with the intention information, comprises: calling a speech recognition model to output the first content information and the intention information corresponding to the speech, and the function information associated with the intention information based on the speech. ### Claim 5 (depends on 4) The method of claim 4, wherein the generating a recognition result of the speech based on the intention information and the second content information, comprises: inputting the intention information and the second content information into the speech recognition model to output and obtain the recognition result of the speech. ### Claim 6 (depends on 1) The method of claim 1, wherein the determine second content information based on the first content information through an application programming interface (API) corresponding to the function, comprises: transferring the first content information to the API as a parameter of the API; and receiving the second content information returned by the API based on the parameter. ### Claim 7 (depends on 6) The method of claim 6, wherein the API is used for performing a fuzzy search based on the first content information to determine the second content information. ### Claim 8 (depends on 1) The method of claim 1, wherein the generating a recognition result of the speech based on the intention information and the second content information, comprises: splicing the intention information and the second content information to generate the recognition result of the speech. ### Claim 9 (depends on 1) The method of claim 1, further comprising: in response to the first content information recognized matching the speech, generating the recognition result of the speech based on the intention information and the first content information. ### Claim 10 (depends on 1) The method of claim 1, wherein the intention information comprises an intention related to music playing, and the first content information comprises at least one selected from the group of a song name, a singer, a lyricist and a composer. ### Claim 11 A computer device, comprising at least one processors, a memory, and at least one programs, wherein the at least one programs are stored in the memory and executed by the at least one processors, and the programs comprise instructions for causing a method for speech recognition to be performed, wherein the method for speech recognition comprises: receiving a speech input by a user; recognizing the speech to determine first content information and intention information corresponding to the speech, and function information associated with the intention information; in response to the first content information recognized failing to match the speech, calling a function corresponding to the function information to determine second content information based on the first content information through an application programming interface (API) corresponding to the function; and generating a recognition result of the speech based on the intention information and the second content information. ### Claim 12 (depends on 11) The computer device of claim 11, wherein the processor is further configured to: acquire a plurality of keywords associated with the intention information; in response to the first content information recognized failing to match the plurality of keywords, determine that the first content information recognized fails to match the speech; or in response to the first content information recognized matching a target keyword among the plurality of keywords, determine that the first content information recognized matches the speech. ### Claim 13 (depends on 12) The computer device of claim 12, wherein the plurality of keywords comprise at least one selected from the group consisting of a plurality of words and a plurality of phrases in a field associated with the intention information which are searched for more than a preset number of times within a preset time period. ### Claim 14 (depends on 11) The computer device of claim 11, wherein the recognizing the speech to determine first content information and intention information corresponding to the speech, and function information associated with the intention information, comprises: calling a speech recognition model to output the first content information and the intention information corresponding to the speech, and the function information associated with the intention information based on the speech. ### Claim 15 (depends on 14) The computer device of claim 14, wherein the generating a recognition result of the speech based on the intention information and the second content information, comprises: inputting the intention information and the second content information into the speech recognition model to output and obtain the recognition result of the speech. ### Claim 16 (depends on 11) The computer device of claim 11, wherein the determine second content information based on the first content information through an application programming interface (API) corresponding to the function, comprises: transferring the first content information to the API as a parameter of the API; and receiving the second content information returned by the API based on the parameter. ### Claim 17 (depends on 16) The computer device of claim 16, wherein the API is used for performing a fuzzy search based on the first content information to determine the second content information. ### Claim 18 (depends on 11) The computer device of claim 11, wherein the generating a recognition result of the speech based on the intention information and the second content information, comprises: splicing the intention information and the second content information to generate the recognition result of the speech. ### Claim 19 (depends on 11) The computer device of claim 11, wherein the processor is further configured to: in response to the first content information recognized matching the speech, generate the recognition result of the speech based on the intention information and the first content information. ### Claim 20 A non-volatile computer-readable storage medium, wherein a computer program is stored on the non-volatile computer-readable storage medium, the computer program, when executed by at least one processors, causes the processors to execute a method for speech recognition, wherein the method for speech recognition comprises: receiving a speech input by a user; recognizing the speech to determine first content information and intention information corresponding to the speech, and function information associated with the intention information; in response to the first content information recognized failing to match the speech, calling a function corresponding to the function information to determine second content information based on the first content information through an application programming interface (API) corresponding to the function; and generating a recognition result of the speech based on the intention information and the second content information.