Abstract: Provided are an antenna system and a network device. In an example, the antenna system includes at least one antenna unit and a control apparatus configured to control the at least one antenna unit to rotate, wherein the control apparatus is connected with the at least one antenna unit and an external control device, receives a rotation instruction from the external control device, and controls the at least one antenna unit to rotate to a target angle according to the received rotation instruction.

Abstract: Provided are an antenna system and a network device. In an example, the antenna system includes at least one antenna unit and a control apparatus configured to control the at least one antenna unit to rotate, wherein the control apparatus is connected with the at least one antenna unit and an external control device, receives a rotation instruction from the external control device, and controls the at least one antenna unit to rotate to a target angle according to the received rotation instruction.

Abstract: An access point (AP) for an indoor antenna distributed deployment environment provides an access service for a wireless terminal. The AP includes N radio frequency (RF) processing units and N*M RF switches (RFSs). Each RFS includes a public port and at least two branch ports. The at least two branch ports respectively connect with at least two antennas deployed in different indoor areas via RF feeders. The RF processing unit includes M RF chains. Each RF chain is connected to a public port of an RFS. The RF processing unit is to transmit a packet to the wireless terminal, based on a predetermined antenna combination for the wireless terminal.

Abstract: An access point (AP) for an indoor antenna distributed deployment environment provides an access service for a wireless terminal. The AP includes N radio frequency (RF) processing units and NWM RF switches (RFSs). Each RFS includes a public port and at least two branch ports. The at least two branch ports respectively connect with at least two antennas deployed in different indoor areas via RF feeders. The RF processing unit includes M RF chains. Each RF chain is connected to a public port of an RFS. The RF processing unit is to transmit a packet to the wireless terminal, based on a predetermined antenna combination for the wireless terminal.

Abstract: An access point (AP) for an indoor antenna distributed deployment environment provides an access service for a wireless terminal. The AP includes N radio frequency (RF) processing units and N*M RF switches (RFSs). Each RFS includes a public port and at least two branch ports. The at least two branch ports respectively connect with at least two antennas deployed in different indoor areas via RF feeders. The RF processing unit includes M RF chains. Each RF chain is connected to a public port of an RFS. The RF processing unit is to transmit a packet to the wireless terminal, based on a predetermined antenna combination for the wireless terminal.

Abstract: An access point (AP) for an indoor antenna distributed deployment environment provides an access service for a wireless terminal. The AP includes N radio frequency (RF) processing units and N*M RF switches (RFSs). Each RFS includes a public port and at least two branch ports. The at least two branch ports respectively connect with at least two antennas deployed in different indoor areas via RF feeders. The RF processing unit includes M RF chains. Each RF chain is connected to a public port of an RFS. The RF processing unit is to transmit a packet to the wireless terminal, based on a predetermined antenna combination for the wireless terminal.

Abstract: The present invention discloses a long-reach Ethernet system. The system includes a first Ethernet device and a second Ethernet device which communicate with each other, and a relay; wherein one of the first Ethernet device and the second Ethernet device is a conventional Ethernet device, and the other one of the first Ethernet device and the second Ethernet device is a conventional Ethernet device or a long-reach Ethernet device; the first Ethernet device and the second Ethernet device communicate with each other via the relay; and the relay is adapted to transform conventional Ethernet data into long-reach Ethernet data and transform long-reach Ethernet data into Ethernet data. The present invention can realize the communication of two Ethernet devices when at least one of the two Ethernet devices is a conventional Ethernet device and a working distance between them is longer than 100 meters.

Abstract: The present invention discloses a long-reach Ethernet system. The system includes a first Ethernet device and a second Ethernet device which communicate with each other, and a relay; wherein one of the first Ethernet device and the second Ethernet device is a conventional Ethernet device, and the other one of the first Ethernet device and the second Ethernet device is a conventional Ethernet device or a long-reach Ethernet device; the first Ethernet device and the second Ethernet device communicate with each other via the relay; and the relay is adapted to transform conventional Ethernet data into long-reach Ethernet data and transform long-reach Ethernet data into Ethernet data. The present invention can realize the communication of two Ethernet devices when at least one of the two Ethernet devices is a conventional Ethernet device and a working distance between them is longer than 100 meters.

Abstract: An arrangement is provided to achieve automated voice responding dialogue that is psycho-physical state sensitive. The input speech data from a user is used to detect the psycho-physical state of the user. Spoken words are then recognized from the input speech data based on the detected psycho-physical state of the user. The recognized words form a transcription which is then used to generate a voice response that is appropriate according to the transcription and the psycho-physical state of the user.

Abstract: An arrangement is provided for an automatic speech recognition mechanism to adapt to an adverse acoustic environment. Some of the original training data, collected from an original acoustic environment, is played back in an adverse acoustic environment. The playback data is recorded in the adverse acoustic environment to generate recorded playback data. An existing speech model is then adapted with respect to the adverse acoustic environment based on the recorded playback data and/or the original training data.

Abstract: An arrangement is provided for integrating graph decoder with keyword spotting to improve the robustness of speech recognition. When a graph decoder based speech recognition mechanism fails to recognize a word sequence from input speech data, a keyword based speech recognition mechanism is activated to recognize the word sequence based on a set of keywords that are detected from the input data.

Abstract: A language independent, voice based user interface method includes receiving voice input data spoken by a user, identifying a language spoken by the user from the voice input data, converting the voice input data into a first text in the identified language by recognizing the user's speech in the voice input data based at least in part on the language identifier, parsing the first text to extract a keyword, and using the keyword as a command to an application. Further actions include receiving results to the command, converting the results into a second text in a natural language format according to the identified language, and rendering the second text for perception by the user.

Abstract: A spoken dialog system using a best-fit language model and a spoken dialog system using best-fit grammar are disclosed. A spoken dialog system implementing both a best-fit language model and best-fit grammar is further disclosed. Regarding the language model, likelihood scores from a large vocabulary continuous speech recognition (“LVCSR”) module are used to select the best-fit language model among a general task language model and dialog-state dependent language models. Based on the chosen language model, a dialog manager can implement different strategies to improve general dialog performance and recognition accuracy. Regarding grammar, the best-fit grammar method improves performance and user experience of dialog systems by choosing the best-fit grammar among a general purpose grammar and dialog-state dependent sub-grammars. Based on the selected grammar pattern, the dialog system can choose from varying dialog strategies, resulting in an increase in user acceptance of spoken dialog systems.

Abstract: An arrangement is provided for an automatic speech recognition mechanism to adapt to an adverse acoustic environment. Some of the original training data, collected from an original acoustic environment, is played back in an adverse acoustic environment. The playback data is recorded in the adverse acoustic environment to generate recorded playback data. An existing speech model is then adapted with respect to the adverse acoustic environment based on the recorded playback data and/or the original training data.

Abstract: An arrangement is provided for speech synthesis using statistical pronunciation models established based on annotated training data. When input text is received, pronunciations of words in the input text are determined based on the use of relevant statistical pronunciation models. The speech signal corresponding to the input text is then synthesized using the determined pronunciations.

Abstract: A spoken dialog system using a best-fit language model and a spoken dialog system using best-fit grammar are disclosed. A spoken dialog system implementing both a best-fit language model and best-fit grammar is further disclosed. Regarding the language model, likelihood scores from a large vocabulary continuous speech recognition (“LVCSR”) module are used to select the best-fit language model among a general task language model and dialog-state dependent language models. Based on the chosen language model, a dialog manager can implement different strategies to improve general dialog performance and recognition accuracy. Regarding grammar, the best-fit grammar method improves performance and user experience of dialog systems by choosing the best-fit grammar among a general purpose grammar and dialog-state dependent sub-grammars. Based on the selected grammar pattern, the dialog system can choose from varying dialog strategies, resulting in an increase in user acceptance of spoken dialog systems.

Abstract: An arrangement is provided for integrating graph decoder with keyword spotting to improve the robustness of speech recognition. When a graph decoder based speech recognition mechanism fails to recognize a word sequence from input speech data, a keyword based speech recognition mechanism is activated to recognize the word sequence based on a set of keywords that are detected from the input data.