Abstract: A system for collision detection includes an interface and a processor. The interface is configured to receive sensor data from a plurality of sensors. The processor is configured to preprocess the sensor data using a set of preprocessing steps to create preprocessed sensor data, wherein the set of preprocessing steps comprises filtering, normalization, and alignment; process the preprocessed sensor data using a compound model to create a collision score; and provide the collision score.

Abstract: One embodiment provides a method, including: detecting, at an input device of an information handling device, voice input; determining, using a processor, whether the voice input corresponds to a voice command; identifying, responsive to determining that the voice input corresponds to a voice command, that the voice command is associated with an enabled voice command; determining, using a processor, whether a characteristic of the voice command corresponds to a predetermined input characteristic; and performing, responsive to identifying that the voice command is associated with the enabled voice command and responsive to determining that the characteristic corresponds to the predetermined input characteristic, an action corresponding to the enabled voice command. Other aspects are described and claimed.

Abstract: Aspects of the present invention disclose a method for synchronizing a voice reply from AI voice assistant based on user activities. The method includes one or more processors identifying a task of a user that corresponds to a voice query of the user. The method further includes generating a sequence of sub-activities of the task corresponding to the voice query of the user. The method further includes determining a completion status of each sub-activity of the sequence of sub-activities of the task corresponding to the voice query of the user based at least in part on activity data received from one or more computing devices in an operating environment of the user. The method further includes synchronizing a voice reply of a computing device with the sequence of sub-activities of the task based at least in part on the completion status of each sub-activity of the sequence.

Abstract: The present disclosure discloses a speech chip and an electronic device. The speech chip includes a first processing module, a second processing module and a third processing module. The first processing module is configured to run an operating system, and to perform data scheduling on modules other than the first processing module in the chip. The second processing module is configured to perform a mutual conversion between speech and text based on a speech model. The third processing module is configured to perform digital signal processing on inputted speech.

Abstract: This application describes methods and apparatus for speaker recognition. An apparatus according to an embodiment has an analyzer for analyzing each frame of a sequence of frames of audio data which correspond to speech sounds uttered by a user to determine at least one characteristic of the speech sound of that frame. An assessment module determines, for each frame of audio data, a contribution indicator of the extent to which that frame of audio data should be used for speaker recognition processing based on the determined characteristic of the speech sound. Said contribution indicator comprises a weighting to be applied to each frame in the speaker recognition processing. In this way frames which correspond to speech sounds that are of most use for speaker discrimination may be emphasized and/or frames which correspond to speech sounds that are of least use for speaker discrimination may be de-emphasized.

Abstract: A system and method of improving the Natural Language Understanding of a voice assistant. A first utterance is converted to text and parsed by a Bi-LSTM neural network to create a vector representing the utterance. A subsequent utterance is similarly converted into a representative vector and the two vector are combined to predict the true intent of a user's subsequent utterance in context with the initial utterance.

Abstract: A method, an electronic device, and non-transitory machine-readable medium are provided. The method includes receiving, on an electronic device, a request to perform an action. The method also includes deriving an aggregated predicted confidence level using one or more confidence levels. The one or more confidence levels are based on usage information and context of the electronic device. The method further includes determining an execution engine to process the request based on the aggregated predicted confidence level. The method additionally includes providing at least a portion of the request to the execution engine for processing.

Abstract: A system and method for temporarily disabling keyword detection to avoid detection of machine-generated keywords. A local device may operate two keyword detectors. The first keyword detector operates on input audio data received by a microphone to capture keywords uttered by a user. In these instances, the keyword may be detected by the first detector and the audio data may be indicated for speech processing. The system may determine output audio data responsive to the input audio data. The local device may process the output audio data to determine that it also includes the keyword. The device may then disable the first keyword detector while the output audio data is played back by an audio speaker of the local device. Thus the local device may avoid detection of a keyword originating from the output audio. The first keyword detector may be reactivated after a time interval during which the keyword might be detectable in the output audio.

Abstract: A method for controlling a plurality of environmental factors that trigger a negative emotional state is provided. The method may include analyzing a plurality of user data when a user experiences a plurality of various environmental factors. The method may also include determining an emotional state experienced by the user when each of the plurality of various environmental factors is present based on the plurality of user data. The method may include receiving a plurality of calendar information associated with a user account. The method may also include identifying an upcoming event based on the plurality of calendar information. The method may include identifying an environmental factor within the plurality of various environmental factors is present at the upcoming event. The method may also include, in response to determining the environmental factor causes the user to experience a negative emotional state, executing an accommodation method based on the environmental factor.

Abstract: Systems, devices, and methods transcribe words recorded in audio data. A computer-generated transcript is provided. The transcript comprises records for each word in the computer-generated transcript. At least one confirmation input is received for each record. The at least one confirmation input modifies a selected record and automatically identifies a next record for receiving a next confirmation input. A sequence of confirmation inputs may rapidly modify and validate each record in a sequence of records in the computer-generated transcript. A validated transcript is generated from the modified records and is provided from an evidence management system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using neural networks. A feature vector that models audio characteristics of a portion of an utterance is received. Data indicative of latent variables of multivariate factor analysis is received. The feature vector and the data indicative of the latent variables is provided as input to a neural network. A candidate transcription for the utterance is determined based on at least an output of the neural network.

Abstract: A method for mixing, processing and enhancing signals using signal decomposition is presented. A method for improving sorting of decomposed signal parts using cross-component similarity is also provided.

Abstract: A user, such as an elderly person, may be assisted by an assistance device in his or her caregiving environment that operates in conjunction with one or more server computers. The assistance device may execute a schedule of assistance actions where each assistance action is associated with a time and is executed at that time to assist the user. An assistance action may present an input request to a user, process a voice input of the user, and analyze the voice input to determine that the voice input corresponds to a negative response event, a positive response event, or a non-response event. Based on the categorization of one or more voice inputs as negative response events, positive response events, or non-response events, it may be determined to notify a caregiver of the user, for example where the user has not responded to a number of assistance actions.

Abstract: An intelligent gateway device according to an embodiment of the present invention includes: a communication unit configured to be connected with a plurality of recognition devices; and a processor configured to receive data including a user request from an electronic device, acquire characteristic information for the user request from the received data, select at least one recognition device from the plurality of recognition devices on the basis of the acquired characteristic information, transmit the data to a first recognition device of the selected at least one recognition device, receive a recognition result of the user request from any one recognition device of the at least one recognition device, and transmit the received recognition result to an control device connected with a control target electronic device.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system generates a list of communications desired by a user, and determines an attentiveness level of the user with respect to equipment of the user currently in use, to determine whether the user is available to participate in a desired communication. The method also includes accessing equipment of a target party of the communication to determine an attentiveness level of the target party with respect to equipment of the target party, to determine whether the target party is available to participate in the communication. The method also includes generating a notice at the equipment of the user that the target party is available; and initiating the communication between the equipment of the user and the equipment of the target party. Other embodiments are disclosed.

Abstract: A system for enabling end user devices to access third party cloud-based resources. For example, the system may include a first party cloud-based resource for converting sound into a format accessible to the third party cloud-based resource, storing and/or maintaining state information related to the an open communication session between the end user device and the third party cloud-based resources, and converting text-based audio announcements into audio that may be output by the end user device. In some cases, the first party cloud-based resource may transmit user responses together with stored state information to the third party cloud-based resources in a manner that the third part cloud-based resources may treat each interaction with the end user as a separate communication session.

Abstract: An information processing method, a system, an apparatus, an electronic device and a storage medium, where the method is applied to a client, and includes: receiving a transcript and a sentence identifier of the transcript sent by a service server; reading a local sentence identifier, and when the received sentence identifier is the same as the local sentence identifier, updating a displayed caption content corresponding to the local sentence identifier with the transcript. When the received sentence identifier of the client is the same as the local sentence identifier, the displayed caption content is replaced with the received transcript.

Abstract: To provide an automatic report creation system which can automatically create reports for various different uses. This automatic report creation system included a voice recognition unit 3, a clock unit 7 and a term dictionary 9, wherein the voice recognition unit 3 recognizes the input of a pre-stored start term, the clock unit 7 calculates the start time on the basis of the time when the voice recognition unit 3 recognized input of the start term, the voice recognition unit 3 recognizes that a pre-stored end term has been inputted, the clock unit 7 calculates the end time on the basis of the time when the voice recognition unit recognized input of the end term, the voice recognition unit 3 stores speech from the start time to the end time as recorded speech, analyzes the recorded speech.

Abstract: In one embodiment, a method includes receiving a voice input from a user and determining a first style of the voice input, based on first features extracted from the voice input. A second style for a voice response having second features may then be determined based on the first style. Finally, the voice response may be generated based on the second features of the second style, and this voice response may be provided in response to the voice input.

Abstract: A device, system and method for role based data collection and public-safety incident response is provided. A computing device receives a call to report a public-safety incident. The computing device determines a role of a caller on the call, the role of the caller being relative to the public-safety incident. The computing device retrieves, from one or more memories, data dependent on the role of the caller. The computing device controls a notification device to provide the data dependent on the role of the caller.