Abstract: This disclosure provides a voice interaction method and apparatus. At least one target device is determined from various electronic devices by receiving a wakeup signal sent by at least one wakeup device in the various electronic devices in response to a voice instruction of a user. Each target device is instructed to recognize a semantic meaning of the voice instruction to obtain semantic information, so as to determine a first response device in the various target devices based on the semantic information. In this case, the first response device is enabled to respond to the voice instruction. In this way, a problem that it is difficult for a plurality of devices to interact with the user accurately is resolved, thereby facilitating user experience.

Abstract: Disclosed in the embodiments of the present disclosure are an audio playback method and apparatus, a computer readable storage medium, and an electronic device. The method includes: acquiring intention determination data collected for at least one user within a target space; determining that at least one user has a target vocal intention based on the intention determination data, and then determining feature information representing a current feature of the at least one user; and extracting and playing an audio corresponding to the feature information from a preset audio library. According to the embodiments of the present disclosure, it is achieved to automatically perform a determination on the target vocal intention of the user by the electronic device, without triggering an audio playing operation by the user, the steps of performing the audio playing operation by the user being omitted, and the convenience of the audio playing operation being improved.

Abstract: Disclosed are a method, an apparatus and an electronic device for controlling audio playback of multiple loudspeakers, wherein the method comprises: determining the location information of each speaker and voice signals issued by each speaker; determining the area where each speaker is located according to the location information of each speaker; determining voice instruction corresponding to each voice signal; and controlling the multiple loudspeakers to play the audio indicated by the corresponding voice instruction respectively for the area where the speaker of each voice instruction is located. According to the method and apparatus and/or the electronic device in an embodiment of the present disclosure, different audios can be played for different areas in a preset space.

Abstract: Disclosed are a method, an apparatus and an electronic device for controlling audio playback of multiple loudspeakers, wherein the method comprises: determining the location information of each speaker and voice signals issued by each speaker; determining the area where each speaker is located according to the location information of each speaker; determining voice instruction corresponding to each voice signal; and controlling the multiple loudspeakers to play the audio indicated by the corresponding voice instruction respectively for the area where the speaker of each voice instruction is located. According to the method and apparatus and/or the electronic device in an embodiment of the present disclosure, different audios can be played for different areas in a preset space.

Abstract: Embodiments of the present disclosure disclose a speech interaction method and apparatus. The method includes: acquiring videos shot by a camera device in a target space and at least one channel of audio acquired by at least one audio acquisition device; determining to-be-recognized audio that respectively corresponds to each of the sound areas in the target space based on the at least one channel of audio; determining a target sound area from the target space based on the video and at least one channel of to-be-recognized audio; performing speech recognition on the at least one channel of to-be-recognized audio to obtain a recognition result; and controlling a speech interaction-targeting device in the target sound area for speech interaction in a preset mode according to the recognition result.

Abstract: Disclosed is a method and an apparatus for recognizing speech, and the method comprises: separating an input audio signal into at least two separated signals; generating a denoised signal at a current frame; performing a preliminary recognition on each interesting signal at the current frame; and performing a recognition decision according to a recognition score of each interesting signal at the current frame. The method and apparatus of the present disclosure deeply integrate an array signal processing and a speech recognition and use multiway recognitions such that a good recognition rate may be obtained even in a case of a low signal-to-noise ratio.

Abstract: A method and an apparatus for reducing noise of mixed signal are disclosed. The method includes: separating a collected mixed signal to obtain a first signal and a second signal; selecting one of the first signal and the second signal as a current reference signal, and the other as a current expected signal; and performing adaptive filtering based on the selected current reference signal and the selected current expected signal. By the method and the apparatus, the noise can be reduced significantly or removed in a case where reference signal cannot be directly obtained from a hardware.

Abstract: Disclosed are a method and an apparatus for blind signal separation and an electronic device. The method includes modeling a sound source with a complex Gaussian distribution to determine a probability density distribution of the sound source; updating a blind signal separation model based on the probability density distribution; and separating an audio signal with the updated blind signal separation model to obtain a plurality of separated output signals. In this way, the blind signal separation model may be updated through the probability density distribution of the sound source obtained based on the complex Gaussian distribution, thereby effectively improving separation performance of a blind signal separation algorithm in specific scenario.

Abstract: Disclosed are a method and an apparatus for blind signal separation and an electronic device. The method includes modeling a sound source with a complex Gaussian distribution to determine a probability density distribution of the sound source; updating a blind signal separation model based on the probability density distribution; and separating an audio signal with the updated blind signal separation model to obtain a plurality of separated output signals. In this way, the blind signal separation model may be updated through the probability density distribution of the sound source obtained based on the complex Gaussian distribution, thereby effectively improving separation performance of a blind signal separation algorithm in specific scenario.

Abstract: Disclosed is a method and an apparatus for recognizing speech, and the method comprises: separating an input audio signal into at least two separated signals; generating a denoised signal at a current frame; performing a preliminary recognition on each interesting signal at the current frame; and performing a recognition decision according to a recognition score of each interesting signal at the current frame. The method and apparatus of the present disclosure deeply integrate an array signal processing and a speech recognition and use multiway recognitions such that a good recognition rate may be obtained even in a case of a low signal-to-noise ratio.

Abstract: A method for acquiring the number of modified frames for active sound, and a method and apparatus for voice activity detection are disclosed. Firstly, a first voice activity detection decision result and a second voice activity detection decision result are obtained (501), the number of hangover frames for active sound is obtained (502), and the number of background noise updates is obtained (503), and then the number of modified frames for active sound is calculated according to the first voice activity detection decision result, the number of background noise updates and the number of hangover frames for active sound (504), and finally, a voice activity detection decision result of a current frame is calculated according to the number of modified frames for active sound and the second voice activity detection decision result (505).

Abstract: A method and an apparatus for reducing noise of mixed signal are disclosed. The method includes: separating a collected mixed signal to obtain a first signal and a second signal; selecting one of the first signal and the second signal as a current reference signal, and the other as a current expected signal; and performing adaptive filtering based on the selected current reference signal and the selected current expected signal. By the method and the apparatus, the noise can be reduced significantly or removed in a case where reference signal cannot be directly obtained from a hardware.

Abstract: Provided are a Voice Activity Detection (VAD) method and apparatus. The method includes that: at least one first class feature in a first feature category, at least one second class feature in a second feature category and at least two existing VAD judgment results are acquired, the first class feature and the second class feature are features used for VAD detection (S102); and VAD is carried out according to the first class feature, the second class feature and the at least two existing VAD judgment results, to obtain a combined VAD judgment result (S104).

Abstract: A method for acquiring the number of modified frames for active sound, and a method and apparatus for voice activity detection are disclosed. Firstly, a first voice activity detection decision result and a second voice activity detection decision result are obtained (501), the number of hangover frames for active sound is obtained (502), and the number of background noise updates is obtained (503), and then the number of modified frames for active sound is calculated according to the first voice activity detection decision result, the number of background noise updates and the number of hangover frames for active sound (504), and finally, a voice activity detection decision result of a current frame is calculated according to the number of modified frames for active sound and the second voice activity detection decision result (505).

Abstract: Disclosed are a voice activity detection method and device, wherein the method includes: obtaining a combined VAD judgment result according to the number of continuous active frames, an average total SNR of all sub-bands, a tonal signal flag, and at least two existing VAD judgment results (107). The method and device are suitable for voice service, solve the problem of inaccurate VAD detection and realize highly accurate VAD judgment.

Abstract: Provided is a voiceprint-recognition-based security protection method. The method includes: acquiring voice data of a current user of a terminal and extracting voiceprint characteristic information from the voice data; matching the extracted voiceprint characteristic information of the current user of the terminal with a pre-saved voiceprint model of an owner of the terminal, and judging whether the current user of the terminal is the owner of the terminal; and when judging that the current user of the terminal is not the owner of the terminal, performing security protection processing on the terminal.

Abstract: Provided are a Voice Activity Detection (VAD) method and apparatus. The method includes that: at least one first class feature in a first feature category, at least one second class feature in a second feature category and at least two existing VAD judgment results are acquired, the first class feature and the second class feature are features used for VAD detection (S102); and VAD is carried out according to the first class feature, the second class feature and the at least two existing VAD judgment results, to obtain a combined VAD judgment result (S104).

Abstract: The present document relates to a voice activity detection (VAD) method and methods used for voice activity detection and apparatus thereof, the VAD method includes: obtaining sub-band signals and spectrum amplitudes of a current frame; computing values of a energy feature and a spectral centroid feature of the current frame according to the sub-band signals; computing a signal to noise ratio parameter of the current frame according to a background noise energy estimated from a previous frame, an energy of SNR sub-bands and a energy feature of the current frame; computing a VAD decision result according to a tonality signal flag, a signal to noise ratio parameter, a spectral centroid feature, and a frame energy feature. The methods and apparatus of the present document can improve the accuracy of non-stationary noise (such as office noise) and music detection.

Abstract: The present document relates to a voice activity detection (VAD) method and methods used for voice activity detection and apparatus thereof, the VAD method includes: obtaining sub-band signals and spectrum amplitudes of a current frame; computing values of a energy feature and a spectral centroid feature of the current frame according to the sub-band signals; computing a signal to noise ratio parameter of the current frame according to a background noise energy estimated from a previous frame, an energy of SNR sub-bands and a energy feature of the current frame; computing a VAD decision result according to a tonality signal flag, a signal to noise ratio parameter, a spectral centroid feature, and a frame energy feature. The methods and apparatus of the present document can improve the accuracy of non-stationary noise (such as office noise) and music detection.

Abstract: The present invention relates to a method of manufacturing an electrode material having the general formula AaMb(XY(1, 2, 3 or 4))c, where A is an alkali Metal, or an alkaline earth metal, especially one of Na, Li, K, Ca, Ag, Mg and mixtures thereof, M is a transition metal, which is capable of undergoing oxidation to a higher valence state, especially one of V, Fe, Mn, Co, Ti and Ni or a combination thereof, X is one of P, Si, Ge, B, S, As, Sb and mixtures thereof and Y is one of O, OH, F, Cl, Br, I and mixtures thereof. The invention further relates to such an electrode material and to a vehicle comprising a battery including such an electrode material.