Abstract: The present invention provides a noise modeling method to improve the speech recognition quality to help the recognition system perform better in real-life environments. With this method, we not only add noise to the training audio signal to simulate different environments, but we also add noise labels to the speech transcripts. Since then, the recognition model will perform better in different environments and increase the accuracy of the recognition model.

Abstract: An anomaly detection method for detecting an anomaly in an in-vehicle network of an in-vehicle network system including a plurality of electronic control units that transmit and receive messages via the network includes: generating image data of a reception interval between a plurality of messages included in a message sequence in a predetermined period out of a message sequence received from the in-vehicle network, or image data of a transition of a sensor value of the plurality of messages; classifying the image data using a trained CNN according to whether an attack message has been inserted in the predetermined period; and when the attack message has been inserted in the predetermined period, outputting a detection result indicating that an insertion attack which is an insertion of the attack message has been made in the predetermined period.

Abstract: Provided are methods for search algorithms and safety verification for compliant domain volumes. The present techniques include identifying a parameterized scenario space and objective function. A boundary between compliant scenarios and non-compliant scenarios for metrics in the parameterized scenario space is determined. A total boundary of a domain volume corresponding to the parameterized scenario space is identified based on the boundaries between the compliant scenarios and non-compliant scenarios for each metric in the parameterized scenario space.

Abstract: The present invention provides a method for speech separation and recognition. The present invention overcomes the disadvantages of the existing techniques by providing automatic speech recognition and separation that helps managers see what their service agents and customers are saying. From there, quickly and objectively knowing the wishes and concerns of customers as well as whether their service agents can give accurate and correct advice. In addition, the system is constantly updated based on the semi-supervised training mechanism, which means that the system can self-learn from actual data during operation, thereby helping to improve the system's accuracy.

Abstract: A data analysis system allows users to interact with distributed data structures stored in-memory using natural language queries. The data analysis system receives a prefix of a natural language query from the user. The data analysis system provides suggestions of terms to the user for adding to the prefix. Accordingly, the data analysis system iteratively receives longer and longer prefixes of the natural language queries until a complete natural language query is received. The data analysis system stores natural language query templates that represent natural language queries associated a particular intent. For example, a natural language query template may represent queries that compare two columns of a dataset. The data analysis system compares an input prefix of natural language with the natural language query templates to determine the suggestions. The data analysis system receives user defined metrics or attributes that can be used in the natural language queries.

Abstract: A data analysis system allows users to interact with distributed data structures stored in-memory using natural language queries. The data analysis system receives a prefix of a natural language query from the user. The data analysis system provides suggestions of terms to the user for adding to the prefix. Accordingly, the data analysis system iteratively receives longer and longer prefixes of the natural language queries until a complete natural language query is received. The data analysis system stores natural language query templates that represent natural language queries associated a particular intent. For example, a natural language query template may represent queries that compare two columns of a dataset. The data analysis system compares an input prefix of natural language with the natural language query templates to determine the suggestions. The data analysis system receives user defined metrics or attributes that can be used in the natural language queries.

Abstract: A data analysis system allows users to interact with distributed data structures stored in-memory using natural language queries. The data analysis system receives a prefix of a natural language query from the user. The data analysis system provides suggestions of terms to the user for adding to the prefix. Accordingly, the data analysis system iteratively receives longer and longer prefixes of the natural language queries until a complete natural language query is received. The data analysis system stores natural language query templates that represent natural language queries associated a particular intent. For example, a natural language query template may represent queries that compare two columns of a dataset. The data analysis system compares an input prefix of natural language with the natural language query templates to determine the suggestions. The data analysis system receives user defined metrics or attributes that can be used in the natural language queries.

Abstract: A data analysis system allows users to interact with distributed data structures stored in-memory using natural language queries. The data analysis system receives a prefix of a natural language query from the user. The data analysis system provides suggestions of terms to the user for adding to the prefix. Accordingly, the data analysis system iteratively receives longer and longer prefixes of the natural language queries until a complete natural language query is received. The data analysis system stores natural language query templates that represent natural language queries associated a particular intent. For example, a natural language query template may represent queries that compare two columns of a dataset. The data analysis system compares an input prefix of natural language with the natural language query templates to determine the suggestions. The data analysis system receives user defined metrics or attributes that can be used in the natural language queries.

Abstract: According to embodiments, a sensor includes a structure body, a container, a liquid and a sensing unit. The structure body includes a supporter, and a film unit. The film unit includes a first region. The first region includes a first end portion supported by the supporter, and a first portion being displaceable. The film unit includes an opening. The container is connected to the structure body. A first space is defined between the film unit and the container. The liquid is provided inside the first space. The sensing unit senses a displacement of the first portion accompanying a displacement of the liquid.

Abstract: According to embodiments, a sensor includes a structure body, a container, a liquid and a sensing unit. The structure body includes a supporter, and a film unit. The film unit includes a first region. The first region includes a first end portion supported by the supporter, and a first portion being displaceable. The film unit includes an opening. The container is connected to the structure body. A first space is defined between the film unit and the container. The liquid is provided inside the first space. The sensing unit senses a displacement of the first portion accompanying a displacement of the liquid.

Abstract: A valve assembly may include a valve disposed in a flow path and an actuator disposed above the valve. The actuator may be configured to actuate the valve to move between an open position and a closed position. The valve may also include a rocking member disposed above the actuator and configured to move with the valve. The valve may also include a pair of first and second position sensors disposed above and parallel to the actuator. The pair of first and second position sensors may be configured to detect a position of the rocking member. The position of the rocking member may be indicative of a position of the valve.

Abstract: A valve assembly may include a valve disposed in a flow path and an actuator disposed above the valve. The actuator may be configured to actuate the valve to move between an open position and a closed position. The valve may also include a rocking member disposed above the actuator and configured to move with the valve. The valve may also include a pair of first and second position sensors disposed above and parallel to the actuator. The pair of first and second position sensors may be configured to detect a position of the rocking member. The position of the rocking member may be indicative of a position of the valve.

Abstract: A system, method and computer program product are provided for recording and playing back a sequence of utterances. Initially, a plurality of utterances is monitored utilizing a network. Thereafter, the utterances and timing data representative of pauses between the utterances are recorded in a file. At a later time, the utterances in the file are parsed and a sequence of the utterances is reconstructed with the pauses utilizing the timing data. The reconstructed sequence of utterances is then played back.