A processing method executed by a processor that receives an order from a user at a restaurant through interaction includes analyzing information indicating the order, extracting a phrase other than a standard element from the information, with reference to a first database when the extracted phrase is a first phrase in the first database, outputting a first confirmation item corresponding to the first phrase to the user, receiving a first user response corresponding to the first confirmation item, when the extracted phrase is not a first phrase in the first database, referring to a second database, when the extracted phrase is a second phrase in the second database, selecting a third phrase in the first database from second phrase-related phrases, outputting a second confirmation item corresponding to the third phrase to the user referring to the first database, and receiving a second user response corresponding to the second confirmation item.

A processing method executed by a processor that receives an order from a user at a restaurant through interaction includes analyzing information indicating the order, extracting a phrase other than a standard element from the information, with reference to a first database when the extracted phrase is a first phrase in the first database, outputting a first confirmation item corresponding to the first phrase to the user, receiving a first user response corresponding to the first confirmation item, when the extracted phrase is not a first phrase in the first database, referring to a second database, when the extracted phrase is a second phrase in the second database, selecting a third phrase in the first database from second phrase-related phrases, outputting a second confirmation item corresponding to the third phrase to the user referring to the first database, and receiving a second user response corresponding to the second confirmation item.

Systems and processes for detecting and/or providing a whispered speech response are provided. In one example process, speech is received from a user, and based on the speech input, determined that a whispered speech response is to be provided. Upon determining that a whispered speech response is to be provided, the whispered speech response is generated and provided to the user.

Systems and methods of providing context-based fraud detection receive a transaction request from a user, the transaction request comprising request parameters; implement a fraud analysis on the transaction request based on the transaction request and/or the request parameters; determine an initial likelihood of fraud based on the fraud analysis; if the initial likelihood of fraud meets a likelihood threshold: identify a suspected fraud type based on at least one of the transaction request, the request parameters, or the fraud analysis; select questions associated with the suspected fraud type to be presented to the user; receive a voice input from the user in response to the presented questions; implement a second fraud analysis on the voice input based on at least one of the transaction request, the request parameters, or the fraud analysis; and determine a revised likelihood of fraud based on the second fraud analysis.

An editing method facilitates the task of adding background sound to speech-containing audio data so as to augment the listening experience. The editing method is executed by a processor in a computing device and comprises obtaining characterization data that characterizes time segments in the audio data by at least one of topic and sentiment; deriving, for a respective time segment in the audio data and based on the characterization data, a desired property of a background sound to be added to the audio data in the respective time segment, and providing the desired property for the respective time segment so as to enable the audio data to be combined, within the respective time segment, with background sound having the desired property. The background sound may be selected and added automatically or by manual user intervention.

A method for analyzing a voice sample of a subject to determine a cardiac condition, for example, an arrhythmic condition, comprising extracting at least one voice feature from the voice sample, detecting an effect of the cardiac condition on the at least one voice feature and determining the cardiac condition based on the effect. Disclosed is also a system for determining the cardiac condition in the voice sample provided by the subject. Related apparatus and methods are also described.

A method for analyzing a voice sample of a subject to determine a cardiac condition, for example, an arrhythmic condition, comprising extracting at least one voice feature from the voice sample, detecting an effect of the cardiac condition on the at least one voice feature and determining the cardiac condition based on the effect. Disclosed is also a system for determining the cardiac condition in the voice sample provided by the subject. Related apparatus and methods are also described.

The present invention provides a system for activating personal assistance services. The system includes an audio data collector adapted to collect a sample of speech, a processing module, and a service activator couple to an output device. The processing module further includes an audio feature extractor that extracts a plurality of acoustic features from the sample of speech, and a classification unit that classifies a status of a user from the plurality of acoustic features. The Service activator activates a personal assistance service according to the status of the user classified by the classification unit.

The present invention provides a system for activating personal assistance services. The system includes an audio data collector adapted to collect a sample of speech, a processing module, and a service activator couple to an output device. The processing module further includes an audio feature extractor that extracts a plurality of acoustic features from the sample of speech, and a classification unit that classifies a status of a user from the plurality of acoustic features. The Service activator activates a personal assistance service according to the status of the user classified by the classification unit.

A computer speech output control method, system, and non-transitory computer readable medium, include a computer speech output control system, including a computer speech output unit configured to output a computer speech, a human speech monitoring circuit configured to determine whether a human conversation is occurring, an interruption priority setting circuit configured to set a priority setting for when the human conversation can be interrupted by the computer speech, and an interruption determining circuit configured to determine whether to cause the computer speech output unit to output the computer speech based on the priority setting and a status of the human conversation.