The present disclosure provides details of a system and method for customizing an inmate communication notification. Such a system provides an inmate different customized notification messages to be played to different called parties. The system includes a list of different contacts, and each of the contacts can be associated with one or more contact numbers. Each contact number is associated with one or more customized notification messages. The customized notification messages include terms, phrases, and sentences that draw the called party's attention and sound familiar to the called party. The customized notification messages include customized text files, audio files, and video files. An inmate chooses one or more customized notification messages to be played to a called party.

Automated monitoring of a voice communication session, when the session is in an on hold status, to determine when the session is no longer in the on hold status. When it is determined that the session is no longer in the on hold status, user interface output is rendered that is perceptible to a calling user that initiated the session, and that indicates that the on hold status of the session has ceased. In some implementations, an audio stream of the session can be monitored to determine, based on processing of the audio stream, a candidate end of the on hold status. In response, a response solicitation signal is injected into an outgoing portion of the audio. The audio stream can be further monitored for a response (if any) to the response solicitation signal. The response (if any) can be processed to determine whether the end of the on hold status is an actual end of the on hold status.

The example embodiments provides a processing system (10) including: an acquisition unit (11) that acquires target speech data in which a target speech is recorded or a target feature value that indicates a feature of the target speech; an inference unit (12) that infers a language of the target speech, based on an inference model for inferring a language of a speech from speech data or a speech feature value and the target speech data or the target feature value; a result output unit (13) that outputs an inference result by the inference unit (12); a determination unit (14) that determines whether the inference result is correct; and a learning data output unit (15) that outputs the inference result determined to be correct by the determination unit (14) and the target speech data or the target feature value, as learning data for generating the inference model.

An intelligent switch system with reduced power consumption includes a wireless gateway, single live line intelligent switches, and one load per single live line intelligent switch. The wireless gateway generates wake-up signal, couples the wake-up signal to the alternating current power source network, and sends a control signal to all the intelligent switches. Each switch includes first wireless communication unit with sleep mode and wake-up mode, first wake-up unit, first controller, and switch unit. Every first wireless communication unit in wake-up mode receives the control signal. Every first wake-up unit receives and the wake-up signal to wake-up the first wireless communication unit if the control signal is tailored for that switch. The first controller analyzes the control signal and outputs a switch signal, the switch unit changes the on or off state of the load accordingly. When the switch unit is turned off, the current flowing is less than 50 uA.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an automated calling system are disclosed. In one aspect, a method includes the actions of receiving audio data of an utterance spoken by a user who is having a telephone conversation with a bot. The actions further include determining a context of the telephone conversation. The actions further include determining a user intent of a first previous portion of the telephone conversation spoken by the user and a bot intent of a second previous portion of the telephone conversation outputted by a speech synthesizer of the bot. The actions further include, based on the audio data of the utterance, the context of the telephone conversation, the user intent, and the bot intent, generating synthesized speech of a reply by the bot to the utterance. The actions further include, providing, for output, the synthesized speech.

A control system includes a receiver configured to receive information relating to starting or ending a call between a first communications terminal and a second communications terminal while a session, which is for sending content data between the first communications terminal and the second communications terminal, is established; and a transmitter configured to send, to the first communications terminal, control information for starting output of content based on content data sent from the second communications terminal, in response to receiving the information relating to starting the call by the receiver, and to send, to the first communications terminal, the control information for stopping output of the content based on the content data sent from the second communications terminal, in response to receiving the information relating to ending the call by the receiver.

Performing data communications by a Dual SIM Dual Active (DSDA) user equipment (UE), while simultaneously conducting two concurrent voice calls. The UE may receive a request to perform data communications while conducting a first voice call on a first radio and concurrently conducting a second voice call on a second radio. The UE may then determine whether one of the voice calls is currently on hold. The UE may perform the data communications using the radio on which the held call is being conducted. The UE may therefore dynamically select available slots from the first radio and the second radio for performing the data communication, based on which of the first radio and the second radio has a voice call that is currently on hold. In some embodiments, the data communications may be performed using a Long Term Evolution (LTE) protocol stack.

Aspects of the present disclosure include monitoring a contact's communication device while a communication session is in a hold state to determine a sentiment of the contact. Natural language recognition and natural language processing are used to determine a sentiment score of the contact based on overheard communications while the communication session is in the hold state. Then, an action is performed based on the sentiment score of the contact.

A recognition analysis processing unit (20) analyzes call voice information about a call between terminals, which are in a communicating state, specifies a language used in the call voice information, and stores the language as language information. When a hold request detection unit (11) detects a hold request signal for requesting that the call to be held transmitted from one of the call originating terminal and the call receiving terminal, which are in the communicating state, to be held, it extracts, from the language information stored in the recognition analysis processing unit (20), the language used in the call between the terminals to which the hold request signal has been transmitted from the one of the terminals, selects, from a hold tone database (30) storing the hold tones including a plurality of on-hold messages in various languages, the hold tone including the on-hold message in the language matching the extracted language, and transmits the selected hold tone to another one of the terminals, which is another party on the phone. Thus, a telephone exchange (1000) for making the other party on the phone listen to the hold tone including the on-hold message in the language matching the language used by the other party on the phone is provided.

A method and a user terminal for performing a call using voice recognition are disclosed. The method and the user terminal include receiving a call request, obtaining a voice signal from a user in response to the call request, and determining whether the obtained voice signal is a call reception command to receive the call. The method and the user terminal perform the call in a handsfree mode based on the call request in response to the voice signal being the call reception command.