A telephone subnet crawler is used to access automated telephone response systems and index the information, contents and structure contained therein. A database of the information, contents and structure of a plurality of automated telephone response systems is created by the telephone subnet crawler. A user interface provides a waiting party with direct access to the information, contents and structure of the automated telephone response systems contained in the database. Where an automated telephone response system requires user input, the user interface calls the automated telephone response system and navigates to the node requiring user input, provides the user input and displays the results to the user. Where an automated telephone response system connects to an operator, the user interface calls the automated telephone response system, navigates to the node for an operator, and when an operator is detected, calls the user at a user provided callback number.

Provided are a voice chat apparatus, a voice chat method, and a program that achieve appropriate control on whether or not to provide text obtained as a result of voice recognition on voice in voice chat. A voice receiving unit receives voice in voice chat. A text acquiring unit acquires text obtained as a result of voice recognition on the voice received by the voice receiving unit. A transmission control unit controls, on a basis of whether or not display of a voice recognition result is performed in a voice chat system that is a communication destination, whether or not to transmit text data including the text acquired by the text acquiring unit to the communication destination.

A computer based system and method for identifying complaint interactions, including: detecting appearances of linguistic structures related to complaints in an interaction; calculating at least one sentiment metric of the interaction; and classifying the interaction as being or not being a complaint interaction based on the detected linguistic structures and the at least one sentiment metric, for example using a trained supervised learning model.

A computer based system and method for identifying complaint interactions, including: detecting appearances of linguistic structures related to complaints in an interaction; calculating at least one sentiment metric of the interaction; and classifying the interaction as being or not being a complaint interaction based on the detected linguistic structures and the at least one sentiment metric, for example using a trained supervised learning model.

Various disclosed implementations involve processing and/or playback of a recording of a conference involving a plurality of conference participants. Some implementations disclosed herein involve receiving audio data corresponding to a recording of at least one conference involving a plurality of conference participants. In some examples, only a portion of the received audio data will be selected as playback audio data. The selection process may involve a topic selection process, a talkspurt filtering process and/or an acoustic feature selection process. Some examples involve receiving an indication of a target playback time duration. Selecting the portion of audio data may involve making a time duration of the playback audio data within a threshold time difference of the target playback time duration.

Various disclosed implementations involve processing and/or playback of a recording of a conference involving a plurality of conference participants. Some implementations disclosed herein involve receiving audio data corresponding to a recording of at least one conference involving a plurality of conference participants. In some examples, only a portion of the received audio data will be selected as playback audio data. The selection process may involve a topic selection process, a talkspurt filtering process and/or an acoustic feature selection process. Some examples involve receiving an indication of a target playback time duration. Selecting the portion of audio data may involve making a time duration of the playback audio data within a threshold time difference of the target playback time duration.

An automated environment can include multiple controller devices capable of communicating with multiple accessory devices. The controller devices can automatically elect one of their number as a coordinator device for the environment and can automatically perform a new election if an incumbent coordinator becomes unavailable or resigns. The election processes can be transparent to any users. An elected coordinator can perform various operations to facilitate management of the automated environment, including routing of communications between controllers and accessories.

A data gate apparatus for integrating functionalities of an interface format into a plurality of services. The data gate comprises a storage device, a communication interface and a processor coupled to the storage device and the communication interface. The processor detects a device supporting a first interface format that is different than the interface formats stored in the storage device. The processor learns the first interface format by receiving data function in the first interface format and associating a field in the data function with a variable representing information of a particular type. The processor verifies that the first interface format has been successfully learnt by generating a message in the first interface format and sending the message to the device. The processor receives a response to the message and parses the response to thereby confirm that the first interface format is functional and integrable into the plurality of services.

A computer aided prioritization (CAP) system may receive, from the emergency event reporter device, an emergency event including a priority selected from a set of event priorities and a type of event selected from a set of event types associated with the selected event priority; determine, based on the emergency event and without querying the emergency event reporter device for additional information, whether the emergency event indicates a higher priority emergency event to be handled by a computer aided dispatch (CAD) system or a lower priority emergency event to be handled automatically by a computer aided event module (CAEM); and selectively route the emergency event report to at least one of the CAD system and the CAEM according to the determination.

A computer aided prioritization (CAP) system may receive, from the emergency event reporter device, an emergency event including a priority selected from a set of event priorities and a type of event selected from a set of event types associated with the selected event priority; determine, based on the emergency event and without querying the emergency event reporter device for additional information, whether the emergency event indicates a higher priority emergency event to be handled by a computer aided dispatch (CAD) system or a lower priority emergency event to be handled automatically by a computer aided event module (CAEM); and selectively route the emergency event report to at least one of the CAD system and the CAEM according to the determination.