Provided is an automated interpretation method, apparatus, and system. The automated interpretation method includes encoding a voice signal in a first language to generate a first feature vector, decoding the first feature vector to generate a first language sentence in the first language, encoding the first language sentence to generate a second feature vector with respect to a second language, decoding the second feature vector to generate a second language sentence in the second language, controlling a generating of a candidate sentence list based on any one or any combination of the first feature vector, the first language sentence, the second feature vector, and the second language sentence, and selecting, from the candidate sentence list, a final second language sentence as a translation of the voice signal.

An account adding method is performed by a social networking application running at a mobile terminal when communicating with a second terminal (e.g., using a chat session). The method includes: recording voice information from the second terminal using the social networking application; extracting character string information and voiceprint information from the voice information; sending the character string information and the voiceprint information to a server; receiving an account that matches the character string information and the voiceprint information and that is sent by the server; and adding the account to a contact list of the social networking application. For example, the social networking application is started before starting a telephone call with the second terminal and the voice information is recorded during the telephone call.

An account adding method is performed by a social networking application running at a mobile terminal when communicating with a second terminal (e.g., using a chat session). The method includes: recording voice information from the second terminal using the social networking application; extracting character string information and voiceprint information from the voice information; sending the character string information and the voiceprint information to a server; receiving an account that matches the character string information and the voiceprint information and that is sent by the server; and adding the account to a contact list of the social networking application. For example, the social networking application is started before starting a telephone call with the second terminal and the voice information is recorded during the telephone call.

A system, method and apparatus for detecting facial expressions according to EMG signals.

Aspects of the present disclosure relate to systems and methods for a voice-centric virtual or soft keyboard (or keypad). Unlike other keyboards, embodiments of the present disclosure prioritize the voice keyboard, meanwhile providing users with a quick and uniform navigation to other keyboards (e.g., alphabet, punctuations, symbols, emoji's, etc.). In addition, in embodiments, common actions, such as delete and return are also easily accessible. In embodiments, the keyboard is also configurable to allow a user to organize buttons according to their desired use and layout. Embodiments of such a keyboard provide a voice-centric, seamless, and powerful interface experience for users.

In an approach for optimizing an intelligent virtual assistant by using phonetic comparison to find a response stored in a local database, a processor receives an audio input on a computing device. A processor transcribes the audio input to text. A processor compares the text to a set of user queries and commands in a local database of the computing device using a phonetic algorithm. A processor determines whether a user query or command of the set of user queries and commands meets a pre-defined threshold of similarity. Responsive to determining that the user query or command meets the pre-defined threshold of similarity, a processor identifies an intention of a set of intentions stored in the local database corresponding to the user query or command. A processor identifies a response of a set of responses in the local database corresponding to the intention. A processor outputs the response audibly.

In an approach for optimizing an intelligent virtual assistant by using phonetic comparison to find a response stored in a local database, a processor receives an audio input on a computing device. A processor transcribes the audio input to text. A processor compares the text to a set of user queries and commands in a local database of the computing device using a phonetic algorithm. A processor determines whether a user query or command of the set of user queries and commands meets a pre-defined threshold of similarity. Responsive to determining that the user query or command meets the pre-defined threshold of similarity, a processor identifies an intention of a set of intentions stored in the local database corresponding to the user query or command. A processor identifies a response of a set of responses in the local database corresponding to the intention. A processor outputs the response audibly.

A method, performed by an electronic device, of providing a conversational service includes: receiving an utterance input; identifying a temporal expression representing a time in a text obtained from the utterance input; determining a time point related to the utterance input based on the temporal expression; selecting a database corresponding to the determined time point from among a plurality of databases storing information about a conversation history of a user using the conversational service; interpreting the text based on information about the conversation history of the user, the conversation history information being acquired from the selected database; generating a response message to the utterance input based on a result of the interpreting; and outputting the generated response message.

A method, performed by an electronic device, of providing a conversational service includes: receiving an utterance input; identifying a temporal expression representing a time in a text obtained from the utterance input; determining a time point related to the utterance input based on the temporal expression; selecting a database corresponding to the determined time point from among a plurality of databases storing information about a conversation history of a user using the conversational service; interpreting the text based on information about the conversation history of the user, the conversation history information being acquired from the selected database; generating a response message to the utterance input based on a result of the interpreting; and outputting the generated response message.

Systems and methods for a media guidance application that generates results in multiple languages for search queries. In particular, the media guidance application resolves multiple language barriers by taking automatic and manual user language settings and applying those settings to a variety of potential search results.