Abstract: A method and apparatus for processing a signal. An implementation of the method includes: acquiring a reference signal of a to-be-tested voice, the reference signal being a signal output to a voice output device, where the voice output device outputs the to-be-tested voice after obtaining the reference signal; receiving, from a voice input device, an echo signal of the to-be-tested voice, the echo signal being a signal of the to-be-tested voice collected by the voice input device; performing signal preprocessing on the reference signal and the echo signal respectively; and inputting the processed reference signal and the processed echo signal into a pre-trained time delay estimation model, to obtain a time difference between the reference signal and the echo signal output by the time delay estimation model.

Abstract: A speech enhancement method includes steps as follows. Subband decomposition processing is performed on at least two paths of target speech to obtain amplitude spectrums and phase spectrums of the at least two paths of target speech, where the at least two paths of target speech include: target mixed speech and target interference speech; a prediction probability of the target mixed speech including target clean speech in a feature domain is determined according to the amplitude spectrums of the at least two paths of target speech; and subband synthesis processing is performed according to the prediction probability and the amplitude spectrums and the phase spectrums of the at least two paths of target speech to obtain the target clean speech in the target mixed speech.

Abstract: Provided are a voice noise reduction method, an electronic device, and a non-transitory computer-readable storage medium. The specific implementation scheme includes determining a to-be-denoised voice spectrum of a to-be-denoised voice signal; performing feature extraction on the to-be-denoised voice spectrum to obtain a local voice spectral feature of the to-be-denoised voice spectrum; determining a global voice spectral feature of the to-be-denoised voice spectrum according to the local voice spectral feature of the to-be-denoised voice spectrum; and determining a masking matrix of an original voice signal in the to-be-denoised voice signal according to the local voice spectral feature and the global voice spectral feature, and determining the original voice signal according to the to-be-denoised voice spectrum and the masking matrix.

Abstract: Provided are a voice activity detection method and apparatus, an electronic device and a storage medium, which relate to the technical field of voice processing, for example, to the technical field of artificial intelligence and deep learning. The specific implementation solution is described below. A first audio signal is acquired, and a frequency domain feature of the first audio signal is extracted; and the frequency domain feature of the first audio signal is input into a voice activity detection model, and a voice presence detection result output by the voice activity detection model is obtained, where the voice activity detection model is configured to detect whether voice is present in the first audio signal.

Abstract: A method and apparatus for processing a signal. An implementation of the method includes: acquiring a reference signal of a to-be-tested voice, the reference signal being a signal output to a voice output device, where the voice output device outputs the to-be-tested voice after obtaining the reference signal; receiving, from a voice input device, an echo signal of the to-be-tested voice, the echo signal being a signal of the to-be-tested voice collected by the voice input device; performing signal preprocessing on the reference signal and the echo signal respectively; and inputting the processed reference signal and the processed echo signal into a pre-trained time delay estimation model, to obtain a time difference between the reference signal and the echo signal output by the time delay estimation model.

Abstract: The present disclosure designs a rotation matrix-based factor graph cooperative localization algorithm. Firstly, the reasons of sudden increase in an error in an operation process of a conventional factor graph cooperative localization algorithm are analyzed; secondly, a rotation matrix is designed, and the size of a rotation angle is determined; then, a rotation matrix-based cooperative localization algorithm factor graph model is constructed, and a specific algorithm flow is designed; and finally, filtering fusion estimation is performed on position status information of a slave boat.

Abstract: The present disclosure provides genetically engineered microorganisms for tagatose production comprising one or more heterologous polynucleotides encoding polypeptides selected from cellodextrin transporter (Cdt-1), intracellular ?-glucosidase (Gh1-1), xylose reductase (XR), galactitol 2-dehydrogenase (Gdh) and an AraA polypeptide, wherein any biological activity of endogenous Gal1 is attenuated or eliminated. Also provided are genetically engineered microorganism for psicose production comprising one or more heterologous polynucleotides encoding polypeptides selected from alpha-glucoside permease (Agt1) and psicose epimerase (Dpe), wherein any biological activity of endogenous sucrose invertase (Suc2), hexose kinase 1 (Hxk1), hexose kinase 2 (Hxk2), or combinations thereof are attenuated or eliminated. Methods of converting lactose to tagatose and sucrose to psicose is also provided.

Abstract: The present invention provides a system for stabilizing gas and particularly gas hydrates at low pressures and for safe storage and transportation of the gas. The invention also provides minimization of the decomposition of the gas in hydrate form.

Abstract: A reciprocating piston generator assembly that uses a low-concentration methane as a form of fuel comprises: a lean methane engine; a generator assembly; a fine water mist transmission system; a refrigerating dehydrator; an electric butterfly valve; a pressure regulator; a fuel-air mixer; a TEM controller; a heat load sensor; a combustion chamber for the lean methane engine; an air filter; and a speed governing butterfly valve, wherein the fine water mist transmission system is attached sequentially with the refrigerating dehydrator, electric butterfly valve and low-concentration methane engine; and the pressure regulator, fuel-air mixer, air filter, speed governing butterfly valve, heat load sensors and combustion chambers are installed in the methane engine; that the TEM controller is connected to the fuel-air mixer and heat load sensor; and the generator is connected to the low-concentration methane engine.

Abstract: The present invention provides a system for stabilizing gas and particularly gas hydrates at low pressures and for safe storage and transportation of the gas. The invention also provides minimization of the decomposition of the gas in hydrate form.