Abstract: A method for decaying speech processing includes receiving, at a voice-enabled device, an indication of a microphone trigger event indicating a possible interaction with the device through speech where the device has a microphone that, when open, is configured to capture speech for speech recognition. In response to receiving the indication of the microphone trigger event, the method also includes instructing the microphone to open or remain open for a duration window to capture an audio stream in an environment of the device and providing the audio stream captured by the open microphone to a speech recognition system. During the duration window, the method further includes decaying a level of the speech recognition processing based on a function of the duration window and instructing the speech recognition system to use the decayed level of speech recognition processing over the audio stream captured by the open microphone.

Abstract: Methods and devices produce an audio representation of aggregated content by selecting preferred content from a number of sources. The sources are emotion-tagged. The emotion-tagged preferred content sources are converted into audio files. A set of audio files corresponding to the converted preferred content is generated. The preferred content is individually converted into the audio files. The generated set comprises non-aggregated content.

Abstract: A method, computer system, and a computer program product for managing a plurality of electronic devices controlling access to one or more hazards in a physical environment. The present invention may include detecting a plurality of brain-wave patterns associated with a user. The present invention may then, in response to detecting motion of the user and the plurality of brain-wave patterns associated with the user matching a pattern, include operating at least one electronic device to disable access to a corresponding hazard. The present invention may further include operating the at least one electronic device to enable access to the corresponding hazard based on receiving input from the user to enable the at least one electronic device, wherein the input being received from the user is in response to prompting the user to correctly respond to a question previously answered by the user.

Abstract: An electronic apparatus, and a method for the electronic apparatus to control to execute a function according to a voice command uttered by a user are provided. The electronic apparatus includes a memory including a plurality of databases divided according to predicates, a communication circuit that receives voice data corresponding to a voice command from an external apparatus, and a processor operatively connected with the memory and the communication circuit. The processor is configured to identify the type of a predicate included in the voice data, and based on information included in a database corresponding to the identified predicate, determine at least one apparatus to execute the voice command and a function that the at least one apparatus will perform according to the voice command, and control the at least one apparatus to execute the function according to the voice command.

Abstract: A system to convert phonemes into phonetics-based words that is implemented in one or more computing systems, in association with a system that provides required inputs is disclosed. Said system comprises a phoneme enhancer, a phoneme sequence buffer, a phoneme sequence to phonetics-based word converter that comprises a sliding window phoneme sequence matcher, a phoneme sequence to phonetics-based word custom data memory, a most frequent phonetics-based word predictive memory, a phoneme similarity matrix, and a phonetics-based word output unit.

Abstract: A communication system for processing a call includes control logic and at least one machine learning model generating call classifiers from outputs of an audio signal processor and a natural language processor operated on the call. Heuristic logic transforms the call classifiers into weighted sub-metrics for the call, and aggregate normalized Gaussian logic transforms the weighted sub-metrics into a metric control that may be applied as a feedback signal to adapt the operation of the control logic. The control logic in turn may adapt the behavior of an agent, automated voice attendant, or a template utilized in a call flow. The system includes a scorecard interface operable to select a target and an indication of the metric control to apply for the target, and to apply the metric control to generate and display a historical performance visualization and a performance feed of the metric for the target.

Abstract: One embodiment of the invention provides a method for entity extraction, comprising determining a set of part-of-speech (POS) tags based on one or more documents, determining a concept in the one or more documents based on the set of POS tags, and extracting one or more phrases from the one or more documents based on the concept. The method further comprises generating a first set of rules corresponding to the concept based on the one or more phrases, generating a second set of rules specific to a domain based on the first set of rules, and learning, via an adapter grammar, a structure of one or more named entities in the one or more documents based on the second set of rules.

Abstract: A voice interaction method is provided. The method is applied to a wearable set and includes: collecting voice information through at least two microphones; processing the voice information and determining that the voice information comprises an effective voice instruction; wherein the effective voice instruction is issued by a user for a mobile terminal; and transmitting the effective voice instruction to the mobile terminal. In an embodiment, the processing of the voice information is assigned to an external device, which reduces the power consumption of a mobile terminal; and voice information is collected by at least two microphones to improve an efficiency and quality of a voice collection.

Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes a first communicator, a second communicator; and a processor configured to determine whether or not an external electronic apparatus outputting input speech is connectable to a network connectable through the first communicator, based on the input speech, and to transmit a signal for controlling the external electronic apparatus to the external electronic apparatus through the first communicator or the second communicator depending on whether or not the external electronic apparatus is connectable to the network.

Abstract: The present disclosure provides a photo album management method. The method includes obtaining voice search information from a user, performing intent recognition on the voice search information to obtain an intent recognition result which indicates an intent of the user for a photo album, obtaining a voiceprint feature from the voice search information to determine identity information of the user, sending the intent recognition result and the identity information of the user, and opening the photo album according to the intent recognition result and the identity information.

Abstract: An communication system supports communication paths within an environment by receiving speech signals of a speaker and playing it back for one or more listeners. Signal processing tasks are split into a microphone related part and into a loudspeaker related part. A sound processing system suitable for use in an environment having multiple acoustic zones includes a plurality of microphone communication instances coupled and a plurality of loudspeaker instances.

Abstract: Methods and systems may incorporate voice interaction and other audio interaction to facilitate access to prescription related information and processes. Particularly, voice/audio interactions may be utilized to achieve authentication to access prescription-related information and action capabilities. Additionally, voice/audio interactions may be utilized in performance of processes such as obtaining prescription refills and receiving reminders to consume prescription products.

Abstract: In one aspect, a network microphone device includes a plurality of microphones and is configured to capture a voice input via the one or more microphones, detect a wake word in the voice input, transmit data associated with the voice input to one or more remote computing devices associated with a voice assistant service, and receive a response from the one or more remote computing devices, the response comprising a playback command based on the voice input. The network microphone device may be configured to obtain verification information characterizing the voice input and, based on the verification information indicating that the voice input was spoken by an unverified user, functionally disable the NMD from performing the playback command.

Abstract: An example method includes receiving, by a computational assistant executing at one or more processors of a mobile computing device and via a wireless link between the mobile computing device and an external device, a representation of audio data generated by a microphone of the external device, the audio data representing a spoken utterance detected by the external device; determining, by the computational assistant and based on the audio data, a response to the spoken utterance; and sending, by the mobile computing device, to the external device, and via the wireless link between the mobile computing device and the external device, a command to output, for playback by one or more speakers connected to the external device via a hardwired analog removable connector of the external device or a wireless link between the external device and the one or more speakers, audio data representing the response to the spoken utterance.

Abstract: Techniques are described herein for detecting and handling failures in other automated assistants. A method includes: executing a first automated assistant in an inactive state at least in part on a computing device operated by a user; while in the inactive state, determining, by the first automated assistant, that a second automated assistant failed to fulfill a request of the user; in response to determining that the second automated assistant failed to fulfill the request of the user, the first automated assistant processing cached audio data that captures a spoken utterance of the user comprising the request that the second automated assistant failed to fulfill, or features of the cached audio data, to determine a response that fulfills the request of the user; and providing, by the first automated assistant to the user, the response that fulfills the request of the user.

Abstract: Provided are an apparatus and method for providing a personal assistant service based on automatic translation. The apparatus for providing a personal assistant service based on automatic translation includes an input section configured to receive a command of a user, a memory in which a program for providing a personal assistant service according to the command of the user is stored, and a processor configured to execute the program. The processor updates at least one of a speech recognition model, an automatic interpretation model, and an automatic translation model on the basis of an intention of the command of the user using a recognition result of the command of the user and provides the personal assistant service on the basis of an automatic translation call.

Abstract: An electronic device for recognizing a user's speech and a speech recognition method therefor are provided. The electronic device includes a microphone configured to receive a user's speech, a memory for storing speech recognition models, and at least one processor configured to select a speech recognition model from among the speech recognition models stored in the memory based on an operation state of the electronic device, and recognize the user's speech received by the microphone based on the selected speech recognition model.

Abstract: The present technology pertains to a method and system for assessing risks associated with facilities, based on using natural language processing. For example, a method can include receiving a natural language input comprising at least one raw text document associated with a facility and generating a plurality of segmented sentences from the raw text documents. The plurality of segmented sentences can be provided as inputs to a machine learning model trained to classify an input segmented sentence over a pre-defined lexicon of pharmaceutical terminology. Each segmented sentence can be classified into one or more classes given by the pre-defined lexicon of pharmaceutical terminology. A secondary classification can be performed for each classified segmented sentence to generate a production issue label based on an analysis of the classified segmented sentence. From the secondary classifications for the classified segmented sentences, at least one production category score for the facility can be generated.

Abstract: A method, a computer program product, an encoder and a monitoring device for encoding an audio signal with variable bitrate, wherein: an audio signal comprising a plurality of successive audio frames is received; and for each successive audio frame of the audio signal: the audio frame is represented in a frequency domain with respect to a plurality of frequency sub-bands; the audio frame is classified in each frequency sub-band as either background or foreground using a background model specific to the frequency sub-band; each successive audio frame of the audio signal is encoded, wherein a number of bits is allocated for each frequency sub-band of the audio frame, wherein the number of bits allocated for a frequency sub-band is higher if the audio frame is classified as foreground in the frequency sub-band than if the audio frame is classified as background in the frequency sub-band.

Abstract: Disclosed are various aspects of postponing or migrating tasks from a first assistant device to another assistant device. In some examples, an assistant device can facilitate task completion. Tasks can be recommended for postponement based upon the complexity of the task, a historical user profile, or the location of the assistant device.