Abstract: The present disclosure provides a method for providing voice-based knowledge through intelligent automated chatting. An input is received. A knowledge message is selected from a set of knowledge messages in response to the input, wherein a length of a voice corresponding to each of the set of knowledge messages is no more than a predefined length. The voice corresponding to the knowledge message is output in a conversation of the intelligent automated chatting.

Abstract: An information processing device includes a divider and an identifier. The divider divides a plurality of sentences included in a processing target sentence set into a plurality of groups based on a supervised topic list representing a list of supervised topic name that is set in advance. The identifier identifies a topic name for each of the groups based on the supervised topic list.

Abstract: A speech processing method and a speech processing apparatus which execute a mounted artificial intelligence (AI) algorithm and/or machine learning algorithm to perform speech processing so that electronic devices and a server may communicate with each other in a 5G communication environment are disclosed. A speech processing method according to an exemplary embodiment of the present disclosure may include collecting a user's spoken utterance including a query, generating a query text as a text conversion result for the user's spoken utterance including a query, searching whether there is a query text-spoken response utterance set including a spoken response utterance for the query text in a database which is constructed in advance, and when there is a query text-spoken response utterance set including a spoken response utterance for the query text in the database, providing the spoken response utterance included in the query text-spoken response utterance set.

Abstract: According to one or more embodiments of the present disclosure, operations regarding providing indications with respect to questions of a communication session may include obtaining transcript data. The transcript data may include a transcription of audio of the communication session. The operations may further include obtaining multiple questions determined to be asked during the communication session. The operations may further include determining, based on an analysis of the transcript data during the communication session, which of the questions have been asked during the communication session. In addition, the operations may include causing, during the communication session, the device involved in the communication session to indicate which of the questions have been asked.

Abstract: This disclosure covers methods, non-transitory computer readable media, and systems that use an intelligent analytics interface to process natural-language and other inputs to configure an analytics task for the system. The disclosed methods, non-transitory computer readable media, and systems provide the intelligent analytics interface to facilitate an exchange between the systems and a user to determine values for the analytics task. The methods, non-transitory computer readable media, and systems then use these values to execute an analytics task.

Abstract: An apparatus is pre-equipped with a plurality of dialogue robots, and each dialogue robot is configured to conduct a human-computer dialogue based on at least one topic. The method includes: obtaining a text entered by a user; determining at least one topic related to the text, and determining a target dialogue robot from the plurality of dialogue robots based on the at least one topic related to the text and a predefined mapping relationship between a dialogue robot and a topic, where a target topic corresponding to the target dialogue robot is some or all of the at least one topic related to the text; and allocating the text to the target dialogue robot and obtaining a reply for the text from the target dialogue robot, where the reply is generated by the target dialogue robot based on at least one semantic understanding of the text.

Abstract: Achieving voice utterance that can attract an interest of a target further effectively. There is provided an information processing apparatus that includes an utterance control unit that controls output of voice utterance. The utterance control unit determines a target on the basis of an analyzed context, and controls an output device to output an attracting utterance that attracts an interest of the target. Furthermore, there is provided an information processing method that includes executing, by a processor, output control of voice utterance. The execution of the output control further includes determining a target on the basis of an analyzed context and controlling an output device to output an attracting utterance that attracts an interest of the target.

Abstract: A sound recognition system including time-dependent analog filtered feature extraction and sequencing. An analog front end (AFE) in the system receives input analog signals, such as signals representing an audio input to a microphone. Features in the input signal are extracted, by measuring such attributes as zero crossing events and total energy in filtered versions of the signal with different frequency characteristics at different times during the audio event. In one embodiment, a tunable analog filter is controlled to change its frequency characteristics at different times during the event. In another embodiment, multiple analog filters with different filter characteristics filter the input signal in parallel, and signal features are extracted from each filtered signal; a multiplexer selects the desired features at different times during the event.

Abstract: A computer-implemented method comprises receiving an audio user request, converting the request into a digitized request using natural language processing. A determination is made, based on a measured user attentiveness level, of a suitability of responding to the user request. Responsive to a determination that the suitability of responding is above a predetermined threshold value, the method comprises providing a response to the user request.

Abstract: Disclosed embodiments provide a framework to assist customers in obtaining relevant responses from brands and other users to the intents communicated by these customers. In response to obtaining an intent, an intent messaging service identifies one or more users that can be provided with the intent to solicit responses to the intent. The one or more users are selected based on characteristics of the intent. The intent messaging service evaluates the responses to the intent from the one or more users to identify relevant responses that can be presented to the customer. The intent messaging service provides the relevant responses to the intent to the customer, which can determine which users to interact with to address the intent.

Abstract: Devices and techniques are generally described for using user feedback to determine routing decisions in a speech processing system. In various examples, first data representing a first utterance may be received. Second data representing a first semantic interpretation of the first utterance may be determined. A first intent data processing application may be selected for processing the second data. Feedback data may be determined related to the first intent data processing application processing the second data. Third data representing a semantic interpretation of a second utterance may be received, wherein the first semantic interpretation is the same as the second semantic interpretation. A second intent data processing application may be determined for processing the third data based at least in part on the feedback data.

Abstract: A non-transitory computer readable recording medium has stored thereon instructions to be executed on a computer providing terminal device with a game. The recording medium includes, for example, a main program described with Japanese text data, and language data in which English text data is associated with identification information (hash value). The instructions cause the computer to perform the steps of: setting a language to be displayed on a display section; generating a retrieval key by performing data processing on the first data to be displayed that is included in the main program when the second language is set as a language to be displayed; and extracting the second data to be displayed that includes the identification information corresponding to the generated key, and replacing the first data to be displayed with the second data to be displayed to display the second data to be displayed on the display section.

Abstract: Methods and systems for processing audio signals containing speech data are disclosed. Biometric data associated with at least one speaker are extracted from an audio input. A match is determined between the extracted biometric data and stored biometric data associated with a consenting user profile, where a consenting user profile is a user profile associated with a record indicating consent to store biometric data. If a match is determined to exist with such a profile, the speech data is stored in an archive after processing. If no such match is determined, or if the extracted biometric data includes data from a speaker not having a consenting user profile, the speech data is discarded, optionally after having been processed. The system and method provides a safeguard against transferring to storage data of users, particularly minors or children, for whom a verified and valid consent has not been obtained from an authorised adult.

Abstract: Techniques for passive enrollment of a user in a speaker identification (ID) device are provided. One technique includes: parsing, by a processor of the speaker ID device, a speech sample, spoken by the user, into a keyword phrase sample and a command phrase sample; identifying, by a text-dependent speaker ID circuit of the speaker ID device, the user as the speaker of the keyword phrase sample; associating the command phrase sample with the identified user; determining if the command phrase sample in conjunction with one or more earlier command phrase samples associated with the user is sufficient command phrase sampling to enroll the user in a text-independent speaker ID circuit of the speaker ID device; and enrolling the user in the text-independent speaker ID circuit using the command phrase samples associated with the user after determining there is sufficient command phrase sampling to enroll the user.

Abstract: Embodiments are directed to organizing conversation information. Two or more machine learning (ML) models and a plurality of sentences provided from a conversation may be employed to generate insight scores for each sentence such that each insight score correlates to a probability that its sentence includes one or more of an action or a question. In response to one or more sentences having insight scores that exceed a threshold value an information score and a definiteness score may be determined for the one or more sentences. And one or more insights associated with the conversation may be generated based on the one or more sentences. A report may be generated that associates the one or more insights with one or more portions of the conversation that include the one or more sentences that are associated with the insights.

Abstract: Systems and methods provide a first sample of audio data and detect speech onset in the first sample of the audio data. Responsive to detecting the speech onset, systems and methods switch from capturing second samples of the audio data at first intervals, to capturing the second samples of the audio data at second intervals. Systems and methods provide contiguous audio data using the second samples of the audio data captured at the first intervals and at least one captured portion of the second samples of the audio data captured at the second intervals.

Abstract: One embodiment provides a method, including: receiving, at an information handling device, audible user input; determining, subsequent to the receiving, an intonation with which the audible user input was provided; assigning, based on the determined intonation, an expressive meaning to the audible user input; and performing, based on the expressive meaning, a corresponding function. Other aspects are described and claimed.

Abstract: A method, computer program product, and computing system for receiving audio encounter information from a microphone array. Speech activity within one or more portions of the audio encounter information may be identified based upon, at least in part, a correlation among the audio encounter information received from the microphone array. Location information for the one or more portions of the audio encounter information may be determined based upon, at least in part, the correlation among the signals received by each microphone of the microphone array. The one or more portions of the audio encounter information may be labeled with the speech activity and the location information.

Abstract: A communication device includes a calculation unit which calculates class probabilities that are probabilities an input speech belongs to a plurality of respective classified classes previously defined as types of speech contents, a plurality of response generation modules provided for respective types of responses each generates a response speech corresponding to the type, a determination unit which selects one of the plurality of response generation modules based on association probabilities and the class probabilities calculated by the calculation unit and determines the response speech generated by the selected response generation module as an output speech to be emitted to the user, the association probabilities being set for each of the plurality of response generation modules, and the association probabilities each indicating a level of association between the response generation module and each of the plurality of classified classes, and an output unit which outputs the output speech.

Abstract: A cooperative conversational voice user interface is provided. The cooperative conversational voice user interface may build upon short-term and long-term shared knowledge to generate one or more explicit and/or implicit hypotheses about an intent of a user utterance. The hypotheses may be ranked based on varying degrees of certainty, and an adaptive response may be generated for the user. Responses may be worded based on the degrees of certainty and to frame an appropriate domain for a subsequent utterance. In one implementation, misrecognitions may be tolerated, and conversational course may be corrected based on subsequent utterances and/or responses.