Abstract: An information processing apparatus includes a controller configured to acquire action data on a plurality of users, extract, from the acquired action data, a particular action that is action data indicating a worsening of a relationship among the plurality of users, and identify a cause pattern that includes at least one piece of action data, among pieces of action data acquired before the particular action, associated with the particular action.

Abstract: Methods and apparatus to audio watermarking and watermark detection and extracted are described herein. An example method includes receiving a media content signal, sampling the media content signal to generate samples, storing the samples in a buffer, determining a first sequence of samples in the buffer, determining a second sequence of samples in the buffer, wherein the second sequence of samples is of substantially equal length as the first sequence of samples, calculating an average of the first sequence of samples and the second sequence of samples to generate an average sequence of samples, extracting an identifier from the average sequence of samples, and storing the identifier in a tangible memory.

Abstract: An audio firewall system has a microphone that generates audio data. A speech-to-text engine converts the audio data to text data. The text data is parsed for a service wake word and corresponding content data. The service wake word identifies one of a local security system and a remote assistant server. A text-to-speech engine converts the service wake word and the corresponding content data to converted audio data. The converted audio data is provided to the remote assistant server. The content data is provided to the local security system. The audio firewall system receives a response from the remote assistant server or the local security system and outputs an audio signal corresponding to the response.

Abstract: Described herein is a system for automatically detecting and assigning action items in a real-time conversation and determining whether such action items have been completed. The system detects, during a meeting, a plurality of action items and an utterance that corresponds to a completed action item. Responsive to detecting the utterance, the system generates a similarity score with respect to a first action item of the plurality of action items. The system compares the similarity score to a first threshold. Responsive to determining that the similarity score does not exceed the first threshold, the system generates a second similarity score with respect to a second action item of the plurality of action items. The system compares the second similarity score to a second threshold, which exceeds the first threshold. Responsive to determining that the second similarity score exceeds the second threshold, the system marks the second action item as completed.

Abstract: Determining whether, upon cessation of a second automated assistant session that interrupted and supplanted a prior first automated assistant session: (1) to automatically resume the prior first automated assistant session, or (2) to transition to an alternative automated assistant state in which the prior first session is not automatically resumed. Implementations further relate to selectively causing, based on the determining and upon cessation of the second automated assistant session, either the automatic resumption of the prior first automated assistant session that was interrupted, or the transition to the state in which the first session is not automatically resumed.

Abstract: This application relates to a method of synthesizing a speech of which a speed and a pitch are changed. In one aspect, the method includes a spectrogram may be generated by performing a short-time Fourier transformation on a first speech signal based on a first hop length and a first window length, and speech signals of sections having a second window length at the interval of a second hop length from the spectrogram. A ratio between the first hop length and the second hop length may be set to be equal to the value of a playback rate and a ratio between the first window length and the second window length may be set to be equal to the value of a pitch change rate, thereby generating a second speech signal of which the speed and the pitch are changed.

Abstract: According to at least one embodiment, a method for determining a level of synchronicity between subtitle text in audiovisual content and speech that would be heard during display of the audiovisual content includes: accessing a first binary sequence, each bit of the first binary sequence indicating whether the speech is provided at a respective sampling time of a plurality of sampling times; and accessing a second binary sequence, each bit of the second binary sequence indicating whether the subtitle text is provided at a respective sampling time of a plurality of sampling times. The method further includes comparing the first binary sequence and the second binary sequence to determine the level of synchronicity between the subtitle text and the speech.

Abstract: Implementations are set forth herein for creating an order of execution for actions that were requested by a user, via a spoken utterance to an automated assistant. The order of execution for the requested actions can be based on how each requested action can, or is predicted to, affect other requested actions. In some implementations, an order of execution for a series of actions can be determined based on an output of a machine learning model, such as a model that has been trained according to supervised learning. A particular order of execution can be selected to mitigate waste of processing, memory, and network resources—at least relative to other possible orders of execution. Using interaction data that characterizes past performances of automated assistants, certain orders of execution can be adapted over time, thereby allowing the automated assistant to learn from past interactions with one or more users.

Abstract: An intelligence-driven virtual assistant for automated documentation of new ideas is provided. During a brainstorming session, one or more user participants may discuss and identify one or more ideas. Such ideas may be tracked, catalogued, analyzed, developed, and further expanded upon through use of an intelligence-driven virtual assistant. Such virtual assistant may capture user input data embodying one or more new ideas and intelligently process the same in accordance with creativity tool workflows. Such workflows may further guide development and expansion upon a given idea, while continuing to document, analyze, and identify further aspects to develop and expand.

Abstract: Disclosed herein are system, method, and computer program product embodiments for a text-to-speech system. An embodiment operates by receiving text to be converted into audible output and identifying a webpage address within the text. A webpage corresponding to the webpage address is retrieved, wherein the retrieved webpage is not displayed on a user interface. Metadata of the retrieved webpage corresponding to the webpage address is identified. A portion of the metadata is selected to replace the webpage address in an audible version of the text. The webpage address is replaced with the selected portion of metadata of the retrieved webpage corresponding to the webpage address in the audible version of the text. The audible version of the text including the selected portion of metadata is provided for audible output.

Abstract: A “SOUND ID SYSTEM” comprise a Device with a microphone that continuously monitors the surrounding environment. Pre-recorded personalized or unique sound patterns, signatures, and/or key words, and/or their derivatives, are stored in the Device. When such a pre-determined pre-recorded sound pattern, signature, or key words, or their derivatives, are recognized by the Device, a corresponding pre-determined action or action sequence will be sent to the Cloud, or other devices, to execute. Such other devices can attach, co-habitat, and wired/wirelessly connect to the Device, or share some components with the Device. If the Device does not recognize any particular pre-recorded sound pattern, signature or key words, or their derivatives, then the Device will not transmit to disclose to any outside device or other entity, any monitored sound information.

Abstract: Described herein are embodiments of a framework named as total correlation variational autoencoder (TC_VAE) to disentangle syntax and semantics by making use of total correlation penalties of KL divergences. One or more Kullback-Leibler (KL) divergence terms in a loss for a variational autoencoder are discomposed so that generated hidden variables may be separated. Embodiments of the TC_VAE framework were examined on semantic similarity tasks and syntactic similarity tasks. Experimental results show that better disentanglement between syntactic and semantic representations have been achieved compared with state-of-the-art (SOTA) results on the same data sets in similar settings.

Abstract: Determining whether, upon cessation of a second automated assistant session that interrupted and supplanted a prior first automated assistant session: (1) to automatically resume the prior first automated assistant session, or (2) to transition to an alternative automated assistant state in which the prior first session is not automatically resumed. Implementations further relate to selectively causing, based on the determining and upon cessation of the second automated assistant session, either the automatic resumption of the prior first automated assistant session that was interrupted, or the transition to the state in which the first session is not automatically resumed.

Abstract: Systems and methods of machine learning for digital assets and message creation are provided herein. The present disclosure includes mechanisms for receiving one or more assets that include textual content, performing machine learning on the one or more assets in order to determine relevant words, phrases, and statistics included in the textual content, and displaying segments of data on a graphical user interface that also includes an interface that is used to create a message using content of the segments of the textual content that have been extracted from the one or more assets.

Abstract: Determining a language for speech recognition of a spoken utterance received via an automated assistant interface for interacting with an automated assistant. Implementations can enable multilingual interaction with the automated assistant, without necessitating a user explicitly designate a language to be utilized for each interaction. Implementations determine a user profile that corresponds to audio data that captures a spoken utterance, and utilize language(s), and optionally corresponding probabilities, assigned to the user profile in determining a language for speech recognition of the spoken utterance. Some implementations select only a subset of languages, assigned to the user profile, to utilize in speech recognition of a given spoken utterance of the user.

Abstract: Systems and methods for correcting recognition errors in speech recognition systems are disclosed herein. Natural conversational variations are identified to determine whether a query intends to correct a speech recognition error or whether the query is a new command. When the query intends to correct a speech recognition error, the system identifies a location of the error and performs the correction. The corrected query can be presented to the user or be acted upon as a command for the system.

Abstract: A decoding apparatus includes: a bandwidth extending part 25 obtaining a decoded extended frequency spectrum sequence by arranging samples based on K samples included in a frequency-domain sample sequence obtained by decoding, on a higher side than the frequency-domain sample sequence; and a fricative sound adjustment releasing part 23 obtaining, if inputted information indicating whether a hissing sound or not indicates being a hissing sound, what is obtained by exchanging all or a part of a low-side frequency sample sequence existing on a lower side than a predetermined frequency in the decoded extended frequency spectrum sequence for all or a part of a high-side frequency sample sequence existing on a higher side than the predetermined frequency in the decoded extended frequency spectrum sequence as an adjusted frequency spectrum sequence, the number of all or the part of the high-side frequency spectrum sequence being the same as the number of all or the part of the low-side frequency spectrum sequence.

Abstract: Techniques for using multiple voice-enabled devices in a user environment to reduce the latency for obtaining responses to user utterances from a remote system. The voice-enabled devices may each establish connections with the remote system to have the remote system perform supplemental speech processing for utterances the devices are unable to process locally. One voice-enabled device may have a higher-latency connection to the remote system, and another voice-enabled device may have a lower-latency connection to the remote system. The lower-latency device may send an utterance to the remote system before the higher-latency device is able, and the remote system may begin processing the utterance faster than if the lower-latency device sent the utterance. The remote system may then provide a response for the utterance to the higher-latency device in less time than if the remote system had to wait for the utterance from the higher-latency device.

Abstract: A method and apparatus for operating a device when a user does not answer a call is provided herein. During operation a wake word for the device is identified as a user's call sign (a combination of identifying letters, letters and numbers, or words assigned to an officer for use in communication (as in the address of a message sent by radio). The call sign does not comprise a sender or receiver's actual name. When a device detects the wake word as an over-the-air transmission, the device will determine if a user answered the call. If not, sensor data will be provided to the caller and a digital assistant will periodically remind the user of the unanswered call.

Abstract: An electronic device includes a microphone that receives an audio signal that includes a spoken trigger phrase, and a processor that is electrically coupled to the microphone. The processor measures characteristics of the audio signal, and determines, based on the measured characteristics, whether the spoken trigger phrase is acceptable for trigger phrase model training. If the spoken trigger phrase is determined not to be acceptable for trigger phrase model training, the processor rejects the trigger phrase for trigger phrase model training.