Abstract: The present application proposes a method and apparatus for transfer learning-based localization of igneous carbonate-hosted rare earth mineralization. The technology relates to electromagnetic exploration and includes obtaining exploration data for electric, magnetic, seismic, and gravity methods in the target area. Transfer learning-based localization is applied to the electric, magnetic, seismic, and gravity exploration data to determine the cross-sectional map corresponding to the anomalous position of igneous carbonate-hosted rare earth mineralization in the target area. Feature decomposition dimensionality reduction, feature enhancement, and weighted fusion processing are applied to the cross-sectional map, followed by segmentation of the igneous carbonate-hosted rare earth mineralization geological body in the fused image to obtain the spatial distribution of the detection target.

Abstract: The present disclosure provides a method for controlling a terminal, including the following operations: obtaining recognition results corresponding to control signals after receiving the control signals, and determining whether control instructions corresponding to the recognition results conflict, each control signal comprising at least one of a voice signal or a gesture signal; determining a credibility of each control instruction in response to a determination that there exists conflict among control instructions; and sending the control instruction with highest credibility to a control terminal. The present disclosure further provides a device for controlling a terminal and a computer readable storage medium. When control instructions are received and there exists conflict among control instructions, the control instruction with the highest credibility is sent to the control terminal after the credibility of each control instructions is determined, thereby avoiding settings from conflict.

Abstract: The present disclosure provides a method for controlling a terminal, including the following operations: obtaining recognition results corresponding to control signals after receiving the control signals, and determining whether control instructions corresponding to the recognition results conflict, each control signal comprising at least one of a voice signal or a gesture signal; determining a credibility of each control instruction in response to a determination that there exists conflict among control instructions; and sending the control instruction with highest credibility to a control terminal. The present disclosure further provides a device for controlling a terminal and a computer readable storage medium. When control instructions are received and there exists conflict among control instructions, the control instruction with the highest credibility is sent to the control terminal after the credibility of each control instructions is determined, thereby avoiding settings from conflict.

Abstract: Typical speech recognition systems usually use speaker-specific speech data to apply speaker adaptation to models and parameters associated with the speech recognition system. Given that speaker-specific speech data may not be available to the speech recognition system, information indicative of language skills is employed in adapting configurations of a speech recognition system. According to at least one example embodiment, a method and corresponding apparatus, for speech recognition comprise maintaining information indicative of language skills of users of the speech recognition system. A configuration of the speech recognition system for a user is determined based at least in part on corresponding information indicative of language skills of the user. Upon receiving speech data from the user, the configuration of the speech recognition system determined is employed in performing speech recognition.

Abstract: Techniques for improved speech recognition disclosed herein include applying a statistical language model to a free-text input utterance to obtain a plurality of candidate word sequences for automatic speech recognition of the input utterance, each of the plurality of candidate word sequences having a corresponding initial score generated by the statistical language model. For one or more of the plurality of candidate word sequences, each of the one or more candidate word sequences may be analyzed to generate one or more hypotheses for a semantic class of at least one token in the respective candidate word sequence. The initial scores generated by the statistical language model for at least the one or more candidate word sequences may be revised based at least in part on the one or more hypotheses for the semantic class of the at least one token in each of the one or more candidate word sequences.

Abstract: A method of operation of a navigation system includes: determining a travel context based on a route condition for providing a navigation guidance; generating a state node having a state content with a control unit based on the travel context; and generating a guidance process based on the state node for presenting a prompt on a device.

Abstract: A method of operation of a content delivery system includes: receiving a command phrase based on determining an utterance type according to a travel context; determining a trigger match with a control unit based on the command phrase matching a trigger phrase; and stopping a prompt according to a prompt type based on the trigger match for controlling the prompt presented by a device.

Abstract: Embodiments included herein are directed towards a system and method for addressing discontinuous transmission (DTX) in a network device. Embodiments may include receiving, at a computing device, an audio signal and generating at least one silence descriptor (SID) frame associated with the audio signal. Embodiments may also include generating at least one no data frame associated with the audio signal. Embodiments may also include initiating a speech decoder, voice enhancement, and speech encoder operation for the at least one SID frame during a DTX operation and bypassing the speech decoder, voice enhancement, and speech encoder functions for the at least one no data frame.

Abstract: Typical speech recognition systems usually use speaker-specific speech data to apply speaker adaptation to models and parameters associated with the speech recognition system. Given that speaker-specific speech data may not be available to the speech recognition system, information indicative of language skills is employed in adapting configurations of a speech recognition system. According to at least one example embodiment, a method and corresponding apparatus, for speech recognition comprise maintaining information indicative of language skills of users of the speech recognition system. A configuration of the speech recognition system for a user is determined based at least in part on corresponding information indicative of language skills of the user. Upon receiving speech data from the user, the configuration of the speech recognition system determined is employed in performing speech recognition.

Abstract: A method of operation of a computing system includes: receiving a interrupt request for an interrupt task request; determining a request intent, with a control unit, from the interrupt request; generating a system notification for the interrupt task request based on the request intent; and determining a presentation order of the system notification relative to an existing system notification based on a notification priority associated with the interrupt task request.

Abstract: Embodiments included herein are directed towards a system and method for addressing discontinuous transmission (DTX) in a network device. Embodiments may include receiving, at a computing device, an audio signal and generating at least one silence descriptor (SID) frame associated with the audio signal. Embodiments may also include generating at least one no data frame associated with the audio signal. Embodiments may also include initiating a speech decoder, voice enhancement, and speech encoder operation for the at least one SID frame during a DTX operation and bypassing the speech decoder, voice enhancement, and speech encoder functions for the at least one no data frame.

Abstract: Techniques for improved speech recognition disclosed herein include applying a statistical language model to a free-text input utterance to obtain a plurality of candidate word sequences for automatic speech recognition of the input utterance, each of the plurality of candidate word sequences having a corresponding initial score generated by the statistical language model. For one or more of the plurality of candidate word sequences, each of the one or more candidate word sequences may be analyzed to generate one or more hypotheses for a semantic class of at least one token in the respective candidate word sequence. The initial scores generated by the statistical language model for at least the one or more candidate word sequences may be revised based at least in part on the one or more hypotheses for the semantic class of the at least one token in each of the one or more candidate word sequences.

Abstract: A method of operation of a navigation system includes: generating a system message along a route determining a priority value for the system message; sorting the system message based on the priority value and a message play time for the system message; calculating an available play time for the system message; and selecting the system message having the message play time not exceeding the available play time.

Abstract: A method of operation of a navigation system includes: generating a system message along a route determining a priority value for the system message; sorting the system message based on the priority value and a message play time for the system message; calculating an available play time for the system message; and selecting the system message having the message play time not exceeding the available play time.

Abstract: A method of operation of a navigation system includes: providing a history list including a request having a tag; assigning a probability to the request based on the tag to create a speaker dependent model; providing a returned result generated from the speaker dependent model; and updating the request and the tag of the history list based on a user's confirmation of the returned result for displaying on a device.

Abstract: A method of operation of a computing system includes: receiving a interrupt request for an interrupt task request; determining a request intent, with a control unit, from the interrupt request; generating a system notification for the interrupt task request based on the request intent; and determining a presentation order of the system notification relative to an existing system notification based on a notification priority associated with the interrupt task request.

Abstract: A method of operation of a content delivery system includes: receiving a command phrase based on determining an utterance type according to a travel context; determining a trigger match with a control unit based on the command phrase matching a trigger phrase; and stopping a prompt according to a prompt type based on the trigger match for controlling the prompt presented by a device.

Abstract: A method of operation of a navigation system includes: determining a travel context based on a route condition for providing a navigation guidance; generating a state node having a state content with a control unit based on the travel context; and generating a guidance process based on the state node for presenting a prompt on a device.

Abstract: An H bridge circuit includes a gate driver circuit coupled to a gate of an NMOS device. The output of the gate driver circuit is at a voltage from 0.1V to 0.4V during a dead time of the H bridge circuit. The gate voltage of the NMOS device is biased at 0.1˜0.4V to overcome the problems of minority carrier injection and power dissipation as compared with VG=0 in a conventional H bridge circuit.

Abstract: An H bridge circuit includes a gate driver circuit coupled to a gate of an NMOS device. The output of the gate driver circuit is at a voltage from 0.1V to 0.4V during a dead time of the H bridge circuit. The gate voltage of the NMOS device is biased at 0.1˜0.4V to overcome the problems of minority carrier injection and power dissipation as compared with VG=0 in a conventional H bridge circuit.