A call captioning system for captioning a hearing user's (HU's) voice signal during an ongoing call with an assisted user (AU) includes: an AU communication device with a display screen and a caption service activation feature, and a first processor programmed to, during an ongoing call, receive the HU's voice signal. Prior to activating the caption service via the activation feature, the processor uses an automated speech recognition (ASR) engine to generate HU voice signal captions, detect errors in the HU voice signal captions, use the errors to train the ASR software to the HU's voice signal to increase accuracy of the HU captions generated by the ASR engine; and store the trained ASR engine for subsequent use. Upon activating the caption service during the ongoing call, the processor uses the trained ASR engine to generate HU voice signal captions and present them to the AU via the display screen.

The present disclosure discloses a method for identifying an identity, device and a communication terminal. The method includes that: a voiceprint feature of a current call object and a mobile phone number of the current call object are extracted; the identity of the current call object is identified according to the voiceprint feature and the mobile phone number. The present disclosure solves the problem in the related art that it is difficult to effectively identify the identity of a call object, thus providing a method for effectively identifying the identity of a current call object and technically reducing the probability of phone fraud on a user.

A call captioning system for captioning a hearing user's (HU's) voice signal during an ongoing call with an assisted user (AU) includes: an AU communication device with a display screen and a caption service activation feature, and a first processor programmed to, during an ongoing call, receive the HU's voice signal. Prior to activating the caption service via the activation feature, the processor uses an automated speech recognition (ASR) engine to generate HU voice signal captions, detect errors in the HU voice signal captions, use the errors to train the ASR software to the HU's voice signal to increase accuracy of the HU captions generated by the ASR engine; and store the trained ASR engine for subsequent use. Upon activating the caption service during the ongoing call, the processor uses the trained ASR engine to generate HU voice signal captions and present them to the AU via the display screen.

A method and apparatus of processing caller experiences is disclosed. One example method may include determining a call event type occurring during a call and assigning a weight to the call event type via a processing device. The method may also include calculating a caller experience metric value representing a caller's current call status responsive to determining the at least one call event type, the caller experience metric being a function of the current event type weight and a discounting variable that discounts a value of past events. The method may also provide comparing the caller experience metric to a predefined threshold value and determining whether to perform at least one of transferring the call to a live agent and switching from a current caller modality to a different caller modality.

A caller identification apparatus, in order to make, with higher precision, a sharp distinction between a call from a fraud and a call from a person who is not a fraud, comprises a storage means and a voice characteristic analysis means. The storage means stores both a white list with which first voice characteristic information, which is the voice characteristic information of closely related persons of a call recipient, is registered and a black list with which second voice characteristic information, which is the voice characteristic information of frauds, is registered. The voice characteristic analysis means acquires the voice data of a call, obtains third voice characteristic information, which is the voice characteristic information of the voice data, and determines whether the third voice characteristic information matches the first voice characteristic information or the second voice characteristic information. If the third voice characteristic information matches neither the first voice characteristic information nor the second voice characteristic information, the voice characteristic analysis means determines whether the third voice characteristic information includes the voice characteristic information of any multiple persons. If the third voice characteristic information includes the voice characteristic information of any multiple persons, the voice characteristic analysis means obtains a first determination result that the call is probably a call from said frauds.

A method and a system for voice transmission control. The method comprises: receiving, by a voice answering device, a voice command and transmitting the voice command to a sound control server through a network data transmission channel; recognizing, by the sound control server, the voice command, generating corresponding second VXML control information based on a recognition result, and transmitting the second VXML control information to the voice answering device through the network data transmission channel; and performing, by the voice answering device, an operation according to the received second VXML control information. With this method, the architecture and workflow of the communication system can be simplified, and the difficulty of design thereof can be reduced.

Apparatus and method for sharing state information using a web-enabled system and a phone service system are disclosed. In some embodiments, a presence module is used to identify a currently accessed web page to an agent during an on-line session. In some embodiments, documents are delivered to a user through a web browser concurrent with an audio message delivered by phone. Concurrent delivery of documents configured to accept an electronic signature is disclosed.

A captioning system comprising a processor and a memory having stored thereon software such that, when the software is executed by the one or more processors, the system generates text captions from speech data, including at least the following, receiving, from a hearing user's (HU's) device, an HU's speech data, generating, at the one or more hardware processors, first text captions from the speech data using a speech recognition algorithm, automatically determining, at the one or more processors, whether the generated first text captions meet a first accuracy threshold and when the first text captions meet the first accuracy threshold, sending the first text captions to an assisted user's (AU's) device for display, when the first text captions do not meet the first accuracy threshold, generating, at the one or more processors, second text captions from the speech data based on user input to the speech recognition algorithm from a call assistant and sending the second text captions to the AU's device for display.

A system and method, the method comprising receiving, at a processor, an hearing user's (HU's) voice signal from an HU participant during a first call, wherein the first call is a communication across a communication network, the processor programmed to perform the steps of, examining at least a portion of the voice signal to determine an identity of the HU, identifying a voice model associated with the identity of the HU, wherein the voice model comprises a plurality of rules, and further wherein each of the plurality of rules is a rule for transcribing a word in the HU voice signal into text and generating a text output, wherein the text output is a transcription of a plurality of words identified in the HU voice signal, and further wherein at least one of the plurality of words identified is identified using at least one rule of the plurality of rules.

A system for providing voice-to-text captioning service comprising a relay processor that receives voice messages generated by a hearing user during a call, the processor programmed to present the voice messages to a first call assistant, a call assistant device used by the first call assistant to generate call assistant generated text corresponding to the hearing user's voice messages, the processor further programmed to run automated voice-to-text transcription software to generate automated text corresponding to the hearing user's voice messages, use the call assistant generated text, the automated text and the hearing user's voice messages to train the voice-to-text transcription software to more accurately transcribe the hearing user's voice messages to text, determine when the accuracy exceeds an accuracy requirement threshold, during the call and prior to the automated text exceeding the accuracy requirement threshold, transmitting the call assistant generated text to the assisted user's device for display to the assisted user and subsequent to the automated text exceeding the accuracy requirement threshold, transmitting the automated text to the assisted user's device for display to the assisted user.