Abstract: A data processing method, a device wake-up method, an electronic device, and a storage medium are provided. In the data processing method, speech to be processed is converted into a keyword phone sequence, and a similar pronunciation sequence generator acquires a similar phone sequence corresponding to the keyword phone sequence in a sequence generation manner, thereby acquiring a first data processed result corresponding to the speech to be processed. By replacing the search method of large-scale speech databases with this generation manner, effective coverage of possible real-life sounds can be achieved with a smaller model, thus improving the ability to distinguish confusing pronunciations. The above data processing method performed by the electronic device can be performed by an artificial intelligence (AI) model.

Abstract: The present disclosure provides methods, devices, and computer-readable mediums for audio signal processing. In some embodiments, a method executed by an electronic device includes obtaining guidance features corresponding to an audio signal to be processed, the guidance features indicating distinguishable features of at least one signal type of at least one signal category. The method further includes extracting, according to the guidance features, target audio features corresponding to the audio signal. The method further includes determining, according to the target audio features, a target signal type of the audio signal from among the at least one signal type of the at least one signal category. The method further includes performing corresponding processing according to the target signal type of the audio signal.

Abstract: A video encoding method includes: based on at least one of first distortion aware information about a current encoding unit and second distortion aware information about a corresponding reference encoding unit, determining a first predicted value of the current encoding unit using at least one interpolation filter, wherein the at least one type of interpolation filter may include an artificial intelligence (AI) interpolation filter; and encoding the current encoding unit based on the first predicted value of the current encoding unit.

Abstract: A speech recognition method, an apparatus, an electronic device, and a computer-readable storage medium are provided. The method includes acquiring a first speech recognition result of a speech; acquiring context information and pronunciation feature information about a target text unit in the first speech recognition result; and acquiring a second speech recognition result of the speech based on the context information and the pronunciation feature information.

Abstract: Embodiments of the present disclosure provides a device control method, an apparatus, an electronic device, and a computer readable storage medium, the method including: acquiring a device control instruction input by a user, acquiring at least one of user information, environment information, and device information, and controlling at least one target device to perform a corresponding operation based on the acquired information and the device control instruction. The embodiments of the present disclosure implement the safe and convenient control of a smart device to perform corresponding operations.

Abstract: Embodiments of the present application provide a file processing method, a file processing device, an electronic apparatus, and a readable storage medium. The method comprises: receiving an operation request for a file, the file comprising at least two sub-files separately stored in at least two equipments; and correspondingly processing at least one sub-file of the file according to the operation request. By the solutions provided in the embodiments of the present application, since at least two sub-files of a file are separately stored in at least two equipments, original contents of the file cannot be obtained even if a sub-file in one equipment is leaked. By the solutions provided in the embodiments of the present application, the security of files can be effectively improved.

Abstract: A device and a method for providing user-customized content are provided. The method, performed by the device, of providing information regarding at least one primary chat window includes: acquiring a plurality of messages included in at least one primary chat window; determining that a specific event has occurred, based on the acquired plurality of messages; generating a secondary chat window for informing a user of the device about the occurred event; and displaying guidance information about the occurred event in the secondary chat window.

Abstract: A device and a method for providing user-customized content are provided. The method, performed by the device, of providing information regarding at least one primary chat window includes: acquiring a plurality of messages included in at least one primary chat window; determining that a specific event has occurred, based on the acquired plurality of messages; generating a secondary chat window for informing a user of the device about the occurred event; and displaying guidance information about the occurred event in the secondary chat window.

Abstract: According to one embodiment, a method, apparatus for synthesizing speech, and a method for training acoustic model used in speech synthesis is provided. The method for synthesizing speech may include determining data generated by text analysis as fuzzy heteronym data, performing fuzzy heteronym prediction on the fuzzy heteronym data to output a plurality of candidate pronunciations of the fuzzy heteronym data and probabilities thereof, generating fuzzy context feature labels based on the plurality of candidate pronunciations and probabilities thereof, determining model parameters for the fuzzy context feature labels based on acoustic model with fuzzy decision tree, generating speech parameters from the model parameters, and synthesizing the speech parameters via synthesizer as speech.

Abstract: According to one embodiment, a method, apparatus for synthesizing speech, and a method for training acoustic model used in speech synthesis is provided. The method for synthesizing speech may include determining data generated by text analysis as fuzzy heteronym data, performing fuzzy heteronym prediction on the fuzzy heteronym data to output a plurality of candidate pronunciations of the fuzzy heteronym data and probabilities thereof, generating fuzzy context feature labels based on the plurality of candidate pronunciations and probabilities thereof, determining model parameters for the fuzzy context feature labels based on acoustic model with fuzzy decision tree, generating speech parameters from the model parameters, and synthesizing the speech parameters via synthesizer as speech.