Abstract: A speech processing method, a device and a storage medium. The method includes: segmenting (401) to-be-processed speech according to role change point information in the to-be-processed speech to obtain multiple speech segments, where the role change point information is used to indicate a position where a speaking role changes in the to-be-processed speech, the multiple speech segments include multiple first segments and at least one second segment, and a length of any first segment is greater than a length of any second segment; performing (402) clustering on the multiple first segments, and assigning the at least one second segment to a class obtained after the clustering, to obtain a role separation result of the to-be-processed speech. The accuracy and stability of role separation are improved effectively.

Abstract: Audio signal processing methods, systems, terminal devices, conference devices, teaching devices, intelligent vehicle-mounted devices, server device, and computer-readable storage media are provided. The method comprises: obtaining current audio signals acquired by a microphone array, the microphone array comprising at least two microphones; generating, according to phase difference information of the current audio signals acquired by the at least two microphones, current sound source spatial distribution information corresponding to the current audio signals; and according to the current sound source spatial distribution information, in combination with the conversion relationship between single speech and overlapping speech learned on the basis of historical audio signals, identifying whether the current audio signals are overlapping speech.

Abstract: The present disclosure relates to an audio signal processing method and apparatus, a device and a storage medium. The present disclosure performs a segmenting processing on an audio signal to obtain multiple audio segments, performs a clustering processing on the multiple audio segments according to feature information of each audio segment in the multiple audio segments to obtain one or more first sets, determines a first cluster center of each first set according to the feature information of the audio segment included in each first set, and performs a clustering processing on the multiple audio segments according to the first cluster center of each first set to obtain one or more second sets, where audio segments in a same second set corresponding to a same role label. In this way, an accuracy of an unsupervised role separation based on a single channel speech is improved.

Abstract: A weeding device for crops having a seedling avoidance function includes a rack connected to a weeding machine. A hydraulic pump and two hydraulic cylinders are mounted to the rack. Bottom ends of each of the two hydraulic cylinders are provided with a vertically arranged support rod. An inter-row weeder is mounted to a bottom end of each of the two support rods. A slider configured to reciprocate in a horizontal direction is positioned on two slide rails that are mounted to the rack. An inter-plant weeder is mounted to a bottom side of the slider. A plurality of weeder blades are arranged side by side on the inter-plant weeder. At the weeding position, an arrangement direction of weeder blades is perpendicular to an advancing direction, and at the weed avoidance position, the arrangement direction of the weeder blades is parallel to the advancing direction, thereby avoiding crops.

Abstract: A weeding device for crops having a seedling avoidance function includes a rack connected to a weeding machine. A hydraulic pump and two hydraulic cylinders are mounted to the rack. Bottom ends of each of the two hydraulic cylinders are provided with a vertically arranged support rod. An inter-row weeder is mounted to a bottom end of each of the two support rods. A slider configured to reciprocate in a horizontal direction is positioned on two slide rails that are mounted to the rack. An inter-plant weeder is mounted to a bottom side of the slider. A plurality of weeder blades are arranged side by side on the inter-plant weeder. At the weeding position, an arrangement direction of weeder blades is perpendicular to an advancing direction, and at the weed avoidance position, the arrangement direction of the weeder blades is parallel to the advancing direction, thereby avoiding crops.

Abstract: This invention relates to retrieval for multimedia content, and provides a program endpoint time detection apparatus for detecting an endpoint time of a program by performing processing on audio signals of said program, comprising an audio classification unit for classifying said audio signals into a speech signal portion and a non-speech signal portion; a keyword retrieval unit for retrieving, as a candidate endpoint keyword, an endpoint keyword indicating start or end of the program from said speech signal portion; a content analysis unit for performing content analysis on context of the candidate endpoint keyword retrieved by the keyword retrieval unit to determine whether the candidate endpoint keyword is a valid endpoint keyword; and a program endpoint time determination unit for performing statistics analysis based on the retrieval result of said keyword retrieval unit and the determination result of said content analysis unit, and determining the endpoint time of the program.

Abstract: This invention relates to retrieval for multimedia content, and provides a program endpoint time detection apparatus for detecting an endpoint time of a program by performing processing on audio signals of said program, comprising an audio classification unit for classifying said audio signals into a speech signal portion and a non-speech signal portion; a keyword retrieval unit for retrieving, as a candidate endpoint keyword, an endpoint keyword indicating start or end of the program from said speech signal portion; a content analysis unit for performing content analysis on context of the candidate endpoint keyword retrieved by the keyword retrieval unit to determine whether the candidate endpoint keyword is a valid endpoint keyword; and a program endpoint time determination unit for performing statistics analysis based on the retrieval result of said keyword retrieval unit and the determination result of said content analysis unit, and determining the endpoint time of the program.