Abstract: A method, an apparatus, a device, and a storage medium for data processing are provided. Based on scene information of a plurality of video segments of a sample video, a set of candidate video segments is determined from the plurality of video segments. A set of candidate audio segments is determined by removing speech content from a plurality of audio segments of a sample audio. Correlation information between the set of candidate video segments and the set of candidate audio segments is determined. At least one sample pair is determined based on the correlation information, and each sample pair includes a video segment and a corresponding audio segment. Based on the at least one sample pair, a training dataset for training an audio generation model is constructed, and the audio generation model is configured to generate audio content corresponding to an input video.

Abstract: In a method for speech generation, text data and speech data corresponding to the text data are received, the speech data comprising a speech segment and a speech unit that follows the speech segment, the speech segment comprising at least one speech unit. A causal autoregressive module in a machine learning model determines a latent feature associated with the text data and the speech segment. A diffusion module in the machine learning model determines a prediction of the speech unit based on the latent feature. The machine learning model is updated based on the speech unit and the prediction of the speech unit. With these implementations, the latent feature may comprise various aspects of both of the text data and the speech data, and then the latent feature may work as the condition feature to control the diffusion module to output the speech data related to the next patch.

Abstract: The present disclosure belongs to the technical field of agriculture, and specifically relates to an application of a borage extract in promoting plant growth and/or regulating plant stress resistance. At present, only the use of borage extract in the medical field has been reported, and it has not been involved in agriculture. The present disclosure provides a novel application of a borage extract, specifically the use thereof as a biostimulant for promoting plant growth and enhancing plant stress resistance.

Abstract: Provided are a speech processing method and apparatus, and an electronic device. The method includes: displaying an accent conversion page, where the accent conversion page includes an accent control associated with a target accent, and a speech obtaining control; determining an identifier of the target accent in response to a touch operation on the accent control; obtaining first speech in response to a touch operation on the speech obtaining control, where the target accent is different from an accent of the first speech; performing accent conversion on the first speech based on the first speech and the identifier of the target accent, to obtain second speech, where an accent of the second speech is the target accent, the accent conversion is implemented based on a speech processing model, and the speech processing model is obtained through training based on sample speech of non-parallel data; and playing the second speech.

Abstract: A method and an apparatus, a device, and a storage medium for audio encoding are provided. The method includes: obtaining audio content; processing the audio content using an audio encoder to determine a target mean representation and a target variance representation; and generating an encoding representation of the audio content based on the target mean representation and the target variance representation, where the audio encoder is trained based on a process including: processing sample audio using the audio encoder to determine a sample mean representation; determining a semantic loss based on the sample mean representation and a reference semantic feature of the sample audio; and determining a training loss of the audio encoder based on the semantic loss, to train the audio encoder.

Abstract: There are provided a method, an apparatus, an electronic device and a storage medium for generating audio. The method includes: processing video content with a video encoder to determine a video feature; and processing the video feature with a generation model to generate a target audio, where the video encoder is trained based on following processes: obtaining a sample video and a sample audio; determining a first feature representation of the sample video with the video encoder, and determining a second feature representation of the sample audio with an audio encoder; determining a training loss based on the first feature representation, the second feature representation, and reference information, the reference information indicating whether the sample video and the sample audio correspond to a same media file; and training the video encoder based on the training loss.

Abstract: Embodiments of the disclosure relate to a method, an apparatus, a device, and a storage medium for information processing. The method proposed herein includes: processing video content using an action encoder to determine an action feature, and processing the video content using an image encoder to determine an image feature; constructing an input feature of a model based on the action feature, the image feature, and an audio feature of audio content; and providing the input feature to the model to determine a matching degree between the video content and the audio content. Accordingly, the embodiments of the disclosure can evaluate the matching degree between the video content and the audio content from multiple perspectives based on images and actions of the video content and the audio content, thereby improving the accuracy of the matching degree between the video content and the audio content.

Abstract: Provided are an audio synthesis method and apparatus, an electronic device, and a readable storage medium. In the present solution, conversion from a text to an audio having a target timbre is achieved by means of a pre-trained voice synthesis model, the voice synthesis model comprising a first feature extraction sub-model and a second feature extraction sub-model, wherein the first feature extraction sub-model outputs, according to an inputted text to be processed, an acoustic feature comprising a bottleneck feature; the second feature extraction sub-model outputs, according to the inputted first acoustic features, a Mel spectrum feature corresponding to the text to be processed; according to the Mel spectrum feature corresponding to the text to be processed, the target audio corresponding to the text to be processed is obtained, and the target audio has the target timbre.

Abstract: This invention provides a system and method for generating a dense, visibility-aware 3D occupancy grid from LiDAR data to enhance spatial perception in autonomous driving. The system comprises a voxel densification module that aggregates sequential LiDAR frames, a K-nearest neighbors algorithm for label propagation, and a mesh reconstruction process to fill sparse regions. An occlusion reasoning module classifies each voxel as occupied, free, or unobserved through LiDAR-based ray-casting. Additionally, camera image-guided refinement adjusts voxel states by aligning 3D voxel labels with 2D image pixels, ensuring accurate boundary representation and correcting for sensor noise. The resulting occupancy grid includes general objects outside predefined categories, enabling more robust obstacle detection. This system significantly improves autonomous navigation by enhancing object recognition, boundary accuracy, and overall environmental understanding.

Abstract: In one embodiment, a method for achieving zero packet loss in wireless roaming is implemented by a processor of a wireless client device in a system. The wireless client device establishes a first data plane in association with a first radio connected to a first access point and a second data plane in association with a second radio. The first data plane is different from and operates concurrently with the second data plane. The wireless client device determines a second access point by scanning a plurality of operating channels using the second radio. The wireless client device synchronizes the second data plane with a network controller to connect the second radio with the second data plane to the second access point. The wireless client device switches traffic of the first data plane connected to the first access point to the second data plane connected to the second access point.

Abstract: The present disclosure provides a water-soluble 1,3-diphenylguanidine (DPG)-based supramolecular inclusion complex and a preparation method and use thereof. A supramolecular compound and a vulcanization accelerator DPG are subjected to supramolecular interaction to form a DPG-based supramolecular inclusion complex. While improving water solubility and dispersibility of the DPG, a molecular structure of the DPG can be completely retained, and the supramolecular host used does not affect a performance of latex. The supramolecular compound and the DPG are ball milled in a certain proportion to prepare the DPG-based supramolecular inclusion complex, the water-soluble DPG-based supramolecular inclusion complex is added in a natural latex curing process; and after mixing evenly, a mixture is foamed on-machine, vulcanized in a steamer, and dried to obtain a latex foam product.

Abstract: In one embodiment, a method for achieving zero packet loss in wireless roaming is implemented by a processor of a wireless client device in a system. The wireless client device establishes a first data plane in association with a first radio connected to a first access point and a second data plane in association with a second radio. The first data plane is different from and operates concurrently with the second data plane. The wireless client device determines a second access point by scanning a plurality of operating channels using the second radio. The wireless client device synchronizes the second data plane with a network controller to connect the second radio with the second data plane to the second access point. The wireless client device switches traffic of the first data plane connected to the first access point to the second data plane connected to the second access point.

Abstract: Embodiments of the disclosure relate to speech synthesis. A method provided herein includes: constructing, based on target text and prompt speech content, an input sequence corresponding to a sequence template, wherein the sequence template includes a placeholder, and a sequence segment, in the input sequence, corresponding to the placeholder is: preset content independent of the prompt speech content, or a speech feature representation generated based on the prompt speech content; and processing the input sequence with a target model to generate target speech content corresponding to the target text, wherein the target model is trained with a set of training sequences constructed based on the sequence template, the set of training sequences corresponds to a set of training speech content, and the set of training sequences is constructed by replacing the placeholder with the preset content or a training speech feature representation corresponding to respective training speech content.

Abstract: A method, an apparatus, a device, and a storage medium for speech synthesis are provided. A reference description feature corresponding to prompted speech content is obtained, the reference description feature includes a text encoding representation determined by processing the prompted speech content with a contrastive learning module, and the text encoding representation describes a first expression state of the prompted speech content. Based on the reference description feature, a target description feature for indicating a target expression state is constructed. Target speech content corresponding to the target expression state is generated based on an input phoneme sequence including the target description feature.

Abstract: Embodiments in the disclosure relate to joint training. A method provided herein includes: obtaining a first sequence and a second sequence, wherein the first sequence is generated based on text content and the second sequence is generated based on speech content matching the text content, wherein the first sequence includes a plurality of text tokens and the second sequence includes a plurality of speech tokens; constructing a mixed sequence based on an alignment relationship between the plurality of text tokens and the plurality of speech tokens, the mixed sequence including at least one of the plurality of text tokens and at least one of the plurality of speech tokens; and training a target model with the mixed sequence.

Abstract: Embodiments of the present disclosure relate to a method, an apparatus, a device, a medium and a program product for generating acoustic features. The method comprises: acquiring a target text to be processed and a speech prompt having a target timbre. The method further comprises determining a text embedding based on the target text and a prompt text corresponding to the speech prompt. The method further comprises determining, based on prompt acoustic features corresponding to the speech prompt, a local timbre embedding corresponding to a plurality of feature frames of the prompt acoustic features. The method further comprises generating target acoustic features having the target timbre and corresponding to the target text based on the text embedding and the local timbre embedding.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for timbre conversion, an electronic device, and a product. The method includes determining a semantic feature of an audio to be converted, where the audio to be converted has an original timbre. The method further includes acquiring a prompt audio, where the prompt audio has a target timbre different from the original timbre. The method further includes generating, based on the semantic feature of the audio to be converted and the prompt audio, a converted acoustic feature using a self-attention-based diffusion model. Additionally, the method further includes generating a converted audio based on the converted acoustic feature, where the converted audio is an audio in which a timbre of the audio to be converted is converted into the target timbre.

Abstract: A method, an apparatus, a device, and a storage medium for processing speech content are provided. First speech content associated with a target object from target speech content is determined, and the first speech content corresponding to the first text. A second text corresponding to the first text is generated, the first text corresponds to a first language, and the second text corresponds to a second language. Based on at least one segment of the target speech content associated with the target object, a speech feature representation corresponding to the target object is determined. Based on the speech feature representation and a text feature representation of the second text, second speech content corresponding to the second text is generated.

Abstract: The embodiment of the disclosure relates to methods, apparatuses, devices, and storage media for processing video content. The method provided herein includes: generating a set of audio tokens corresponding to first audio content of first video content, the first audio content corresponding to first text content of a first language; generating, based on an audio feature representation corresponding to the set of audio tokens, second audio content corresponding to second text content, the second text content being generated by translating the first text content into a second language; generating a second set of video frames based on a set of visual features corresponding to a first set of video frames of the first video content and the audio feature representation; and generating second video content based on the second set of video frames and the second audio content.