Methods, systems, and devices for encoding are described. A device, which may be otherwise known as user equipment (UE), may support standards-compatible audio encoding (e.g., speech encoding) using a pre-encoded database. The device may receive a digital representation of an audio signal and identify, based on receiving the digital representation of the audio signal, a database that is pre-encoded according to a coding standard and that includes a quantity of digital representations of other audio signals. The device may encode the digital representation of the audio signal using a machine learning scheme and information from the database pre-encoded according to the coding standard. The device may generate a bitstream of the digital representation that is compatible with the coding standard based on encoding the digital representation of the audio signal, and output a representation of the bitstream.

Methods, systems, and devices for encoding are described. A device, which may be otherwise known as user equipment (UE), may support standards-compatible audio encoding (e.g., speech encoding) using a pre-encoded database. The device may receive a digital representation of an audio signal and identify, based on receiving the digital representation of the audio signal, a database that is pre-encoded according to a coding standard and that includes a quantity of digital representations of other audio signals. The device may encode the digital representation of the audio signal using a machine learning scheme and information from the database pre-encoded according to the coding standard. The device may generate a bitstream of the digital representation that is compatible with the coding standard based on encoding the digital representation of the audio signal, and output a representation of the bitstream.

An air conditioning device for a vehicle having a compressor that supplies a high-pressure refrigerant, an air heating heat exchanger heating air that is to be blown into a vehicle cabin, a pressure reduction part expanding and decompressing the high-pressure refrigerant so as to supply an intermediate-pressure refrigerant and a low-pressure refrigerant, a first low-pressure side heat exchanger exchanging heat between the intermediate-pressure refrigerant and a heating medium other than the air, a second low-pressure side heat exchanger cooling the heating medium by exchanging heat between the low-pressure refrigerant and the heating medium, a first heating medium circuit through which the heating medium cooled in the second low-pressure side heat exchanger circulates, and a heating medium-air heat exchanger.

The invention relates to a method for mixing a plurality of audio streams coded according to a frequency sub-band coding, comprising the steps for decoding (E201) a part of the coded streams over at least a first frequency sub-band, for summing (E202) the streams thus decoded so as to form at least a first mixed stream. The method is such that it comprises the steps for detection (E203), over at least a second frequency sub-band different from the at least first sub-band, of the presence of a predetermined frequency band in the plurality of coded audio streams and for summing (E205) the decoded audio streams (E204) for which the presence of the predetermined frequency band has been detected, over said at least a second sub-band, so as to form at least a second mixed stream. The invention also relates to a mixing device implementing the method described and may be integrated into a conference bridge, a communications terminal or a communications gateway.

The present application discloses a method, an apparatus and a terminal for detecting a malware file. One embodiment of the method comprises: obtaining a file to be inspected; determining an entropy vector of the file; and inspecting the entropy vector of the file using a trained inspection model to determine if the file is a malware file, wherein a file type of the file is identical to the file type corresponding to the inspection model. This embodiment extracts the entropy vector of the file and determines if the file is a malware file based on the entropy vector of the file. Therefore, the technical problems existed in the art, such as a low speed, a poor capacity and a low efficiency of detecting and destroying the malware file, are addressed and the efficiency of detecting and destroying the malware file is enhanced.

The present application discloses a method, an apparatus and a terminal for detecting a malware file. One embodiment of the method comprises: obtaining a file to be inspected; determining an entropy vector of the file; and inspecting the entropy vector of the file using a trained inspection model to determine if the file is a malware file, wherein a file type of the file is identical to the file type corresponding to the inspection model. This embodiment extracts the entropy vector of the file and determines if the file is a malware file based on the entropy vector of the file. Therefore, the technical problems existed in the art, such as a low speed, a poor capacity and a low efficiency of detecting and destroying the malware file, are addressed and the efficiency of detecting and destroying the malware file is enhanced.

Techniques and solutions are described for encoding and decoding signals, such as audio data. Disclosed innovations can find particular use in speech coding applications, such as for real time communications. Using a neural network, contextual coding can be used to encode latent features for a current frame using a prediction from reconstructed latent features of past frames as a context. An extractor learns a residual-like feature based on such prediction and latent features of the current frame obtained using an encoder. The residual-like feature is then quantized. At a decoder portion of a coding framework, the quantized feature is dequantized and then combined with a prediction from prior reconstructed latent features to provide reconstructed features of a current frame, which can then be processed by a decoder to provide a reconstructed signal.