Abstract: A meme creation method and apparatus are provided, and relate to the terminal field, to enrich forms and content of memes, and improve user experience. The method includes: displaying a first interface, where the first interface includes a speech input button; receiving, in response to an operation of triggering the speech input button by a user, a speech input by the user; recognizing the speech in a preset manner, where recognition in the preset manner includes at least content recognition, and if the speech includes a target keyword, recommending a first image meme set to the user; obtaining, in response to an operation of selecting one image meme from the first image meme set by the user, a target meme based on the image meme selected by the user and the speech or semantics corresponding to the speech; and sending the target meme.

Abstract: An active noise cancellation method and active noise cancellation earphones are provided, which may improve a noise cancellation effect of the active noise cancellation earphones. The method includes: determining a first primary path transfer function according to a first out-of-ear data collected by the out-of-ear microphone and a first in-ear data collected by the in-ear microphone when the speaker plays audio data; determining audio data received by the in-ear microphone according to the first in-ear data, the first out-of-ear data and the first primary path transfer function; determining a first secondary path transfer function according to the audio data played through the speaker and the audio data received by the in-ear microphone; and updating an operation coefficient of the filter to a first operation coefficient according to the first primary path transfer function and/or the first secondary path transfer function.

Abstract: Embodiments of the present application provide a method and system for active noise control, which can meet different needs of different consumers on sound quality of headphones. The method includes: determining an expected noise control curve of performing active noise control on a target object; determining a target filter according to the expected noise control curve and a filter model; and performing noise control processing on an external noise signal using the target filter.

Abstract: Embodiments and methods perform ear cavity frequency response (EFCR) adaptive noise cancelation (ANC) with path-compensation over an entire main path to the eardrum (MPED) of a user. A number of ANC filter models are pre-trained to include respective anti-noise path (ANP) filter models and respective MPED filter models representing ANC filter configurations. As a user wears a headphone earpiece, characteristics of the wearer and the position/orientation of wearing manifest a wearer/wearing condition. Techniques described herein can continuously or periodically and efficiently determine which of the pre-trained ANC filter models most closely described the present MPED of the present wearer/wearing condition, and can continuously or periodically update the ANC filter configuration based on the pre-trained models to maintain high-performance ANC that includes EFCR path-compensation.

Abstract: Embodiments and methods perform ear cavity frequency response (EFCR) adaptive noise cancelation (ANC) with path-compensation over an entire main path to the eardrum (MPED) of a user. A number of ANC filter models are pre-trained to include respective anti-noise path (ANP) filter models and respective MPED filter models representing ANC filter configurations. As a user wears a headphone earpiece, characteristics of the wearer and the position/orientation of wearing manifest a wearer/wearing condition. Techniques described herein can continuously or periodically and efficiently determine which of the pre-trained ANC filter models most closely described the present MPED of the present wearer/wearing condition, and can continuously or periodically update the ANC filter configuration based on the pre-trained models to maintain high-performance ANC that includes EFCR path-compensation.

Abstract: A meme creation method and apparatus are provided, and relate to the terminal field, to enrich forms and content of memes, and improve user experience. The method includes: displaying a first interface, where the first interface includes a speech input button; receiving, in response to an operation of triggering the speech input button by a user, a speech input by the user; recognizing the speech in a preset manner, where recognition in the preset manner includes at least content recognition, and if the speech includes a target keyword, recommending a first image meme set to the user; obtaining, in response to an operation of selecting one image meme from the first image meme set by the user, a target meme based on the image meme selected by the user and the speech or semantics corresponding to the speech; and sending the target meme.

Abstract: The present application relates to the field of signal processing, and in particular, to a hearing aid method and apparatus for noise reduction. A hearing aid method for noise reduction, comprising: identifying a scenario where a user is located; and if detection data contains sample data in a sample database corresponding to the scenario, entering a hearing aid mode, and in the hearing aid mode, playing back all or part of external sounds, the external sounds being acquired by a reference microphone; the sample database is a sample sound library, and the sample data is a sample sound; different scenarios correspond to different sample sound libraries; wherein the sample sounds in respective sample sound libraries are configured with priorities; and the sample sounds in the sample sound libraries corresponding to different scenarios have different priorities.

Abstract: Embodiments of the present application provide a method and system for active noise control, which can meet different needs of different consumers on sound quality of headphones. The method includes: determining an expected noise control curve of performing active noise control on a target object; determining a target filter according to the expected noise control curve and a filter model; and performing noise control processing on an external noise signal using the target filter.

Abstract: Various embodiment provide a multi-terminal cooperative working method, a terminal device, and a multi-terminal cooperative system. In those embodiments, a primary device can send networking information to a plurality of secondary devices, and the primary device has a permission to manage the cooperative network. The primary device can receive networking confirmation information sent by the plurality of secondary devices; and send configuration information to the plurality of secondary devices separately. The configuration information can be used to instruct to switch, based on a preset management permission switching mechanism when the primary device becomes abnormal or the primary device exits from the cooperative network, the permission to manage the cooperative network. The primary device can clear the secondary device from the cooperative network the secondary device becomes abnormal. In this way, robustness of the cooperative network can be improved.

Abstract: This application provides a multimedia information processing method and apparatus, and a storage medium. The method includes: determining a data transmission delay between a terminal device and a first playing device of at least two playing devices; determining a clock offset between the terminal device and the first playing device based on the data transmission delay between the terminal device and the first playing device; and determining, based on the clock offset between the terminal device and the first playing device, a first start playing time of multimedia information corresponding to the first playing device. The multimedia information processing method and apparatus, and storage medium provided in this application can enable each of the at least two playing devices to synchronously play multimedia information corresponding to the playing device, to improve listening experience of a user.

Abstract: The present invention discloses a sound processing method and apparatus. The method is applied to a non-video-call scenario. The method includes: when it is detected that a camera of a terminal is in a shooting state, collecting a sound signal by using the two microphones at the top of the terminal; calculating an interaural level difference between the two microphones based on collected sound signals according to a preset first algorithm; determining whether the interaural level difference meets a sound source direction determining condition; if the determining condition is met, determining, based on the interaural level difference, whether the sound signal includes a rear sound signal, where the rear sound signal is a sound signal whose sound source is located behind the camera; and if it is determined that the sound signal includes a rear sound signal, filtering out the rear sound signal from the sound signal.

Abstract: Various embodiment provide a multi-terminal cooperative working method, a terminal device, and a multi-terminal cooperative system. In those embodiments, a primary device can send networking information to a plurality of secondary devices, and the primary device has a permission to manage the cooperative network. The primary device can receive networking confirmation information sent by the plurality of secondary devices; and send configuration information to the plurality of secondary devices separately. The configuration information can be used to instruct to switch, based on a preset management permission switching mechanism when the primary device becomes abnormal or the primary device exits from the cooperative network, the permission to manage the cooperative network. The primary device can clear the secondary device from the cooperative network the secondary device becomes abnormal. In this way, robustness of the cooperative network can be improved.

Abstract: The present invention discloses a sound processing method and apparatus. The method is applied to a non-video-call scenario. The method includes: when it is detected that a camera of a terminal is in a shooting state, collecting a sound signal by using the two microphones at the top of the terminal; calculating an interaural level difference between the two microphones based on collected sound signals according to a preset first algorithm; determining whether the interaural level difference meets a sound source direction determining condition; if the determining condition is met, determining, based on the interaural level difference, whether the sound signal includes a rear sound signal, where the rear sound signal is a sound signal whose sound source is located behind the camera; and if it is determined that the sound signal includes a rear sound signal, filtering out the rear sound signal from the sound signal.

Abstract: A method includes acquiring sound signals of a current frame using two microphones, calculating an interaural level difference between the two microphones based on the sound signals of the current frame according to a first preset algorithm, determining whether the interaural level difference satisfies a sound source direction determining condition, determining, based on the interaural level difference, whether the sound signals of the current frame include a backward sound signal if the determining condition is satisfied, filtering out the backward sound signal from the sound signals of the current frame.

Abstract: A method includes acquiring sound signals of a current frame using two microphones, calculating an interaural level difference between the two microphones based on the sound signals of the current frame according to a first preset algorithm, determining whether the interaural level difference satisfies a sound source direction determining condition, determining, based on the interaural level difference, whether the sound signals of the current frame include a backward sound signal if the determining condition is satisfied, filtering out the backward sound signal from the sound signals of the current frame.

Abstract: The present invention discloses a method, a node, and a monitoring center for detecting a network fault and relates to the field of network communications. The method includes: when a node receives a voice stream, receiving a source identifier, a codec type, and voice quality parameters; acquiring, according to the codec type and the voice quality parameters, a fault score corresponding to the node; and detecting, according to the fault score corresponding to the node, whether a network fault occurs on a network between the node and a source corresponding to the source identifier. The monitoring center includes: a first receiving module, a first acquiring module, and a first detecting module; and the node includes: a second acquiring module, a third acquiring module, and a second detecting module. In the present invention, a network fault that occurs on a network can be detected in time.

Abstract: The present invention discloses a method, a node, and a monitoring center for detecting a network fault and relates to the field of network communications. The method includes: when a node receives a voice stream, receiving a source identifier, a codec type, and voice quality parameters; acquiring, according to the codec type and the voice quality parameters, a fault score corresponding to the node; and detecting, according to the fault score corresponding to the node, whether a network fault occurs on a network between the node and a source corresponding to the source identifier. The monitoring center includes: a first receiving module, a first acquiring module, and a first detecting module; and the node includes: a second acquiring module, a third acquiring module, and a second detecting module. In the present invention, a network fault that occurs on a network can be detected in time.