Abstract: The coding efficiency of an audio codec using a controllable—switchable or even adjustable—harmonic filter tool is improved by performing the harmonicity-dependent controlling of this tool using a temporal structure measure in addition to a measure of harmonicity in order to control the harmonic filter tool. In particular, the temporal structure of the audio signal is evaluated in a manner which depends on the pitch. This enables to achieve a situation-adapted control of the harmonic filter tool so that in situations where a control made solely based on the measure of harmonicity would decide against or reduce the usage of this tool, although using the harmonic filter tool would, in that situation, increase the coding efficiency, the harmonic filter tool is applied, while in other situations where the harmonic filter tool may be inefficient or even destructive, the control reduces the appliance of the harmonic filter tool appropriately.

Abstract: Techniques are disclosed for training a machine learning model to perform actions within an environment. In one example, an input device receives a declarative statement. A computation engine selects, based on the declarative statement, a template that includes a template action performable within the environment. The computation engine generates, based on the template, synthetic training episodes. The computation engine further generates experiential training episodes, each experiential training episode collected by a machine learning model from past actions performed by the machine learning model. Each synthetic training episode and experiential training episode comprises an action and a reward. A machine learning system trains, with the synthetic training episodes and the experiential training episodes, the machine learning model to perform the actions within the environment.

Abstract: The present invention provides artificial intelligence technology which has machine-learning-based information understanding capability, including metric learning providing improved classification performance, classification of an object considering a semantic relationship, understanding of the meaning of a scene based on the metric learning and the classification, and the like. An electronic device according to one embodiment of the present invention comprises a memory in which at least one instruction is stored, and a processor for executing the stored instruction. Here, the processor extracts feature data from training data of a first class, obtains a feature point by mapping the extracted feature data to an embedding space, and makes an artificial neural network learn in a direction for reducing a distance between the obtained feature point and an anchor point.

Abstract: An Artificial Intelligence (AI) based document processing system receives a request including one or more of a message and documents related to a process to be automatically executed. A process identifier is extracted and used for retrieving guidelines for the automatic execution of the document processing task. Machine Learning (ML) models, each corresponding to a guideline, are used to extract data responsive to the guidelines. Based on the responsive data meeting the approval threshold and the automatic document processing task executed, one or more of a recommendation to accept or reject the request, and a corresponding letter can be automatically generated.

Abstract: Methods, systems, and computer program product for automatically performing sentiment analysis on texts, such as telephone call transcripts and electronic written communications. Disclosed techniques include, inter alia, lexicon training, handling of negations and shifters, pruning of lexicons, confidence calculation for token orientation, supervised customization, lexicon mixing, and adaptive segmentation.

Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.

Abstract: A method for carrying out a multimodal dialog in a vehicle, in particular a motor vehicle, via which method the interaction between the vehicle and a vehicle user is improved with regard to the provision of a dialog that is as natural as possible. For this purpose, the following acts are performed: sensing an input of a vehicle user for activating a voice dialog and activating gesture recognition.

Abstract: Methods, systems, and computer program product for automatically performing sentiment analysis on texts, such as telephone call transcripts and electronic written communications. Disclosed techniques include, inter alia, lexicon training, handling of negations and shifters, pruning of lexicons, confidence calculation for token orientation, supervised customization, lexicon mixing, and adaptive segmentation.

Abstract: A system and method for voice-based control of sexual stimulation devices. In some configurations, the system and method involve receiving voice data, analyzing the voice data to detect spoken commands, and generating control signals based on the commands. In some configurations, the system and method involve receiving voice data, analyzing the voice data for non-speech vocalizations, detecting voice stress patterns, and generating control signals based on the detected patterns. In some configurations, the analyses of the voice data are performed by machine learning algorithms which may be trained on associations between speech and non-speech vocalizations of a user while the user engages in one or more voice-based training tasks, associating speech and non-speech vocalizations with controls of the sexual stimulation device. In some configurations, machine learning algorithms are used to make the associations. In some configurations, data from other biometric sensors is included in the associations.

Abstract: An information processing apparatus includes a processor configured to acquire a voice of a user, authenticate the user by using the voice, and recognize the voice, and display operation screens that are different depending on an authentication result of the user and a recognition result of the voice and are used for an operation of executing processing on a display unit.

Abstract: Among other things, a developer of an interaction application for an enterprise can create items of content to be provided to an assistant platform for use in responses to requests of end-users. The developer can deploy the interaction application using defined items of content and an available general interaction model including intents and sample utterances having slots. The developer can deploy the interaction application without requiring the developer to formulate any of the intents, sample utterances, or slots of the general interaction model.

Abstract: A method and a system for efficiently managing space inside an elevator cab is described. The system comprises a camera system, an image processing unit, a processing unit, and a display unit. The system processes the image captured by the camera system comprising images of the occupants including passengers and objects inside the elevator. The captured image is transferred to the image processing unit. The image processing unit processes the image for further evaluation by the processing unit. The processing unit provides possible rearrangement of the passengers and the objects (occupants) to be rendered by the display unit.

Abstract: Provided is an elevator landing guidance device including: a hall operation panel (2) provided on each of floors, which is configured to output a guide sound (A) for informing a position of the hall operation panel (2) and accept input of landing call registration; and a guide sound generator (3), which is provided to a landing of each of the floors for each of elevator machines, and which is configured to output a guide sound (B) for informing a position of the landing. When the landing call registration is input to the hall operation panel (2), the guide sound (B) is output from the guide sound generator (3) installed so as to correspond to one of the elevator machines, which is assigned to the landing call registration.

Abstract: A device can perform device arbitration, even when the device is unable to communicate with a remote system over a wide area network (e.g., the Internet). Upon detecting a wakeword in an utterance, the device can wait a period of time for data to arrive at the device, which, if received, indicates to the device that another speech interface device in the environment detected an utterance. If the device receives data prior to the period of time lapsing, the device can determine the earliest-occurring wakeword based on multiple wakeword occurrence times, and may designate whichever device that detected the wakeword first as the designated device to perform an action with respect to the user speech. To account for differences in sound capture latency between speech interface devices, a pre-calculated time offset value can be applied to wakeword occurrence time(s) during device arbitration.

Abstract: Methods and systems for adding functionality to an account of a language processing system where the functionality is associated with a second account of a first application system is described herein. In a non-limiting embodiment, an individual may log into a first account of a language processing system and log into a second account of a first application system. While logged into both the first account and the second account, a button included within a webpage provided by the first application may be invoked. A request capable of being serviced using the first functionality may be received by the language processing system from a device associated with the first account. The language processing system may send first account data and the second account data to the first application system to facilitate an action associated with the request, thereby enabling the first functionality for the first account.

Abstract: An example system is configured to cause a first playback device in a first playback zone to operate in a given playback state including play back of media items identified in a playback queue associated with the first playback zone. The system is also configured to, while the first playback device is operating in the given playback state, (i) receive data corresponding to a detected voice input including an indication of (a) a command word and (b) one or more zone variable instances and (ii) determine, based on the command word and the one or more zone variable instances, an intent to transfer the given playback state to a second playback zone. The system is also configured to transfer the given playback state to the second playback zone, thereby causing a second playback device in the second playback zone to play back the media items identified in the playback queue.

Abstract: Systems and methods are provided for self-learning natural language predictive searching including receiving a first input, the first input being related to the desired outcome; retrieving a first information related to the first input; determining a first output based on at least the first input and the first information; outputting the first output; receiving a second input based on the outputted first output in response to the first output being different from the desired outcome, the second input being related to the desired outcome; retrieving, by the processor, a second information related to the second input; determining a second output based on at least the second input, the second information, the first input and the first information; and outputting the second output.

Abstract: A controller for real-time visual display of music includes a music analysis module and a display control module. The music analysis module receives an audio input, determines human perceived musical structures, human felt affect and emotion as a function of the audio input, and outputs a signal corresponding to the determined structure, affect and emotion. The display control module is operatively coupled to the music analysis module and receives the signal and controls a visual display as a function thereof to express the determined musical structure, affect and emotion in a visual manner.

Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.

Abstract: An apparatus for decoding an encoded audio signal to obtain a reconstructed audio signal includes a receiving interface for receiving one or more frames comprising information on a plurality of audio signal samples of an audio signal spectrum of the encoded audio signal, and a processor for generating the reconstructed audio signal. The processor is configured to generate the reconstructed audio signal by fading a modified spectrum to a target spectrum, if a current frame is not received by the receiving interface or if the current frame is received by the receiving interface but is corrupted, wherein the modified spectrum includes a plurality of modified signal samples, wherein, for each of the modified signal samples of the modified spectrum, an absolute value of the modified signal sample is equal to an absolute value of one of the audio signal samples of the audio signal spectrum.