Abstract: A method includes adding, by a first computing device, a first audio watermark to first speech data corresponding to playback of a first utterance including a hotword used to invoke an attention of a second computing device. The method includes outputting, by the first computing device, the playback of the first utterance corresponding to the watermarked first speech data. The second computing device is configured to receive the watermarked first speech data and determine to cease processing of the watermarked first speech data.

Abstract: Systems, methods, and devices are provided for responding to requests received from users in a healthcare facility, and for generating alerts based upon criticality detected in received verbal utterances. A personal assistant device (PAD) may receive a verbal request for information. The identity of the requestor may be verified and a response to the request may be received by the PAD. In some cases, prior to audibly outputting the response, it may be determined whether the response contains protected health information (PHI). Upon determining that the response contains PHI, the presence of persons other than the patient in proximity to the PAD and/or security of the location of the PAD may be evaluated prior to audibly outputting the response. Additionally, alerts having a heightened criticality may be generated when a received verbal utterance is determined to have a heightened criticality.

Abstract: An example electronic device includes a housing; a touchscreen display; a microphone; at least one speaker; a button disposed on a portion of the housing or set to be displayed on the touchscreen display; a wireless communication circuit; a processor; and a memory. When a user interface is not displayed on the touchscreen display, the electronic device enables a user to receive a user input through the button, receives user speech through the microphone, and then provides data on the user speech to an external server. An instruction for performing a task is received from the server. When the user interface is displayed on the touchscreen display, the electronic device enables the user to receive the user input through the button, receives user speech through the microphone, and then provides data on the user speech to the external server.

Abstract: Methods, devices, and systems for voice activity detection. An audio signal is received by receiver circuitry. A pitch analysis is performed on the received audio signal by pitch analysis circuitry. A higher-order statistics analysis is performed on the audio signal by statistics analysis circuitry. Logic circuitry determines, based on the pitch analysis and the higher-order statistics analysis, whether the audio signal includes a voice region. The logic circuitry outputs a signal indicating that the audio signal includes voice if the audio signal was determined to include a voice region or indicating that the audio signal does not include voice if the audio signal was determined not to include a voice region.

Abstract: A smart interpreter engine is provided. The smart interpreter engine includes a speech to text converter, a natural language processing module and a translator. The speech to text converter is utilized for converting speech data corresponding to a first language into text data corresponding to the first language. The natural language processing module is utilized for converting the text data corresponding to the first language into glossary text data corresponding to the first language according to a game software. The translator is utilized for converting the glossary text data corresponding to the first language into text data corresponding to a second language.

Abstract: A method for generating a bitstream indicative of an object based audio program is described. The bitstream comprises a sequence of containers. A first container of the sequence of containers comprises a plurality of substream entities for a plurality of substreams of the object based audio program and a presentation section. The method comprises determining a set of object channels. The method further comprises providing a set of object related metadata for the set of object channels. In addition, the method comprises inserting a first set of object channel frames and a first set of object related metadata frames into a respective set of substream entities of the first container. Furthermore, the method comprises inserting presentation data into the presentation section.

Abstract: Embodiments of this disclosure include an encoding method and apparatus. The encoding may include obtaining a target paragraph and a context sentence of the target paragraph, and inputting the target paragraph and the context sentence into a memory encoding model. The encoding may further include obtaining an original vector set and a memory vector set in the input layer and obtaining a first target sentence matrix of the original vector set in the memory layer according to the original vector set and the memory vector set. The encoding may further include obtaining a paragraph vector of the target paragraph in the output layer according to the first target sentence matrix and performing processing based on the paragraph vector.

Abstract: Systems and methods for account data association with voice interface devices are disclosed. For example, when a host user/primary user and guest user have consented for account data to be associated with the primary user's devices, a request to associate the account data may be received. Voice and device-based authentication may be performed to confirm the identity of the guest user and the guest user's account data may be associated with the primary user's devices. During a guest session, voice recognition may be utilized to determine if a given user utterance is from the guest user or the primary user, and actions may be performed by the voice interface device accordingly.

Abstract: A computer-implemented input-method editor process includes receiving a request from a user for an application-independent input method editor having written and spoken input capabilities, identifying that the user is about to provide spoken input to the application-independent input method editor, and receiving a spoken input from the user. The spoken input corresponds to input to an application and is converted to text that represents the spoken input. The text is provided as input to the application.

Abstract: Embodiments disclosed herein include security systems and methods for securing an electronic device. In some embodiments, the security system may include an electronic device including surveillance components, including a microphone and a camera. The security device may be secured to the electronic device in a way that blocks or interferes with one or more of these surveillance components. Additionally, the security device may be placed near or on the electronic device. The security device may also include security components to distort sounds from a sound source to be detected by the microphone. As a result, this may prevent third parties from at least remotely streaming or recording live audio and/or video from various audio and video recording components present on the electronic device.

Abstract: An electronic device may capture a voice command from a user. The electronic device may store contextual information about the state of the electronic device when the voice command is received. The electronic device may transmit the voice command and the contextual information to computing equipment such as a desktop computer or a remote server. The computing equipment may perform a speech recognition operation on the voice command and may process the contextual information. The computing equipment may respond to the voice command. The computing equipment may also transmit information to the electronic device that allows the electronic device to respond to the voice command.

Abstract: Implementations set forth herein relate to a system that employs an automated assistant to further interactions between a user and another application, which can provide the automated assistant with permission to initialize relevant application actions simultaneous to the user interacting with the other application. Furthermore, the system can allow the automated assistant to initialize actions of different applications, despite being actively operating a particular application. Available actions can be gleaned by the automated assistant using various application-specific schemas, which can be compared with incoming requests from a user to the automated assistant. Additional data, such as context and historical interactions, can also be used to rank and identify a suitable application action to be initialized via the automated assistant.

Abstract: The disclosure provides a speech control method, a speech control apparatus, an electronic device, and a storage medium. The method includes: acquiring target audio data sent by a client, the target audio data including audio data collected by the client within a target duration before wake-up and audio data collected by the client after wake-up; performing speech recognition on the target audio data; and controlling the client based on an instruction recognized from a second audio segment of the target audio data in response to recognizing a wake-up word from a first audio segment at beginning of the target audio data; in which, the second audio segment is later than the first audio segment or has an overlapping portion with the first audio segment.

Abstract: System and method for providing presence of modifications in user dictation are disclosed. Exemplary implementations may: obtain primary audio information representing sound, including speech from a recording user, captured by a client computing platform; perform speech recognition on the primary audio information to generate a textual transcript; effectuate presentation of the transcript to the recording user; receive user input from the recording user; alter, based on the received user input from the recording user, a portion of the transcript to generate an altered transcript; effectuate presentation of the altered transcript in conjunction with audio playback of at least some of the primary audio information in a reviewing interface on a client computing platform; receive user input from the reviewing user; alter, based on the received user input from the reviewing user, portions of the altered transcript to generate a reviewed transcript; and store the reviewed transcript in electronic storage.

Abstract: Techniques described herein relate to allowing users to employ voice-based human-to-computer dialog to program automated assistants with customized routines, or “dialog routines,” that can later be invoked to accomplish task(s). In various implementations, a first free form natural language input—that identifies a command to be mapped to a task and slot(s) required to be filled with values to fulfill the task—may be received from a user. A dialog routine may be stored that includes a mapping between the command and the task, and which accepts, as input, value(s) to fill the slot(s). Subsequent free form natural language input may be received from the user to (i) invoke the dialog routine based on the mapping, and/or (ii) to identify value(s) to fill the slot(s). Data indicative of at least the value(s) may be transmitted to a remote computing device for fulfillment of the task.

Abstract: Techniques are disclosed for identifying hypocrisy in text. A computer system creates, from fragments of text, a syntactic tree that represents syntactic relationships between words in the fragments. The system identifies, in the syntactic tree, a first entity and a second entity. The system further determines that the first entity is opposite to the second entity. The system further determines a first sentiment score for a first fragment comprising the first entity and a second sentiment score for a second fragment comprising the second entity. The system, responsive to determining that the first sentiment score and the second sentiment score indicate opposite emotions, identifies the text as comprising hypocrisy and providing the text to an external device.

Abstract: Techniques for automatically muting or unmuting an acoustic transducer include receiving a signal representing an output by a voice accelerometer of a device, determining whether the signal is indicative of a presence or absence of voice activity by a user of the device, and generating a control signal that causes an acoustic transducer to be muted responsive to determining that the signal is indicative of an absence of voice activity by the user, or that causes the acoustic transducer to be unmuted response to determining that the signal is indicative of a presence of voice activity by the user.

Abstract: A method of controlling a battery-powered remote controller to decrease a duty cycle to allow continued operations despite the quantity of the battery is bad determines a drop in voltage of the battery in standby mode as voltage of the battery is being read. When receiving a command to activate a voice function, determining whether the drop in voltage in standby mode is greater than or equal to a preset value. If yes, the method then determines whether the drop in voltage falls in a preset range. If yes, the method regulates a duty cycle of the pulse signal activating the voice function, and activates the voice function as required. A remote controller and a non-transitory storage medium are also provided.

Abstract: A voice recognition method includes the following steps. An audio and a correct result are received. The audio is recognized, and a text file corresponding to the audio is output. The word error rate is determined by comparing the text file to the correct result. The word error rate is adjusted according to the weight of at least one important word, in order to calculate a professional score that corresponds to the text file. A determination is made as to whether the professional score is higher than a score threshold. In response to the professional score is higher than the score threshold, the text file, the audio, or the correct result corresponding to the professional score is sent to an engine training module for training.

Abstract: Techniques for determining a command or intent likely to be subsequently invoked by a user of a system are described. A user inputs a command (either via a spoken utterance or textual input) to a system. The system determines content responsive to the command. The system also determines a second command or corresponding intent likely to be invoked by the user subsequent to the previous command. Such determination may involve analyzing pairs of intents, with each pair being associated with a probability that one intent of the pair will be invoked by a user subsequent to a second intent of the pair. The system then outputs first content responsive to the first command and second content soliciting the user as to whether the system to execute the second command.