Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and/or computing entities for processing a call drop likelihood prediction for an interactive call data object.

Abstract: Various embodiments of the invention provide methods, systems, and computer-program products for handling a call reaching a party's voicemail. A predictive model is used to generate a first probability of an outcome occurring as a result of leaving a voicemail message and a second probability of the outcome occurring as a result of sending a text message. If the first probability is greater, an IVR uses DTMF tone(s) to bypass a greeting on the voicemail so that a message can be recorded with minimal time. If the second probability is greater, the call is ended and an email is sent to the party's service provider using an email address comprising a mobile number for the party and a domain portion specific to the provider. As a result, the provider delivers a text message to the party with the body of the message including the content of the email.

Abstract: A method comprising: receiving an interactive voice response (IVR) tree configured to implement one or more tasks, each associated with one or more IVR node paths comprising a plurality of IVR nodes arranged in a hierarchical relationship; analyzing the IVR tree to identify one or more intent IVR nodes, each associated with one of the tasks; with respect to each of the intent IVR nodes, identifying a plurality of corresponding entity IVR nodes included within the IVR node path associated with the intent IVR node; assembling one or more task-specific chatbot skills, each comprising (i) one of the intent IVR nodes, and (ii) at least some of the plurality of corresponding entity IVR nodes, wherein each of the task-specific chatbot skills is configured to perform one of the tasks by conducting a dialog with a user; and generating a chatbot comprising at least one of the task-specific chatbot skills.

Abstract: Method and System for avoiding howling disturbance especially on conferences, wherein the method comprising the steps of using a howling detector unit implemented inside a multipoint control unit to receive an audio stream input from a client, analyzing the audio input with the howling detector in order to verify if howling noise is present, using at least two of a skewness analysis, a flatness analysis, a crest analysis, a rolloff analysis and preventing the audio stream input to be forwarded as an output to an audio mixer, if howling noise is present.

Abstract: Disclosed herein are systems and methods for handling unwanted telephone calls through a branching node. In one aspect, an exemplary method comprises, intercepting a call request from a terminal device of a calling party to a terminal device of a called party, establishing a connection through the branching node via two different communication channels, a first communication channel being with the terminal device of the called party and a second communication channel being with a call recorder; duplicating media data between the terminal devices such that one data stream is directed towards a receiving device of the media data and a second data stream is directed towards the call recorder; recording and sending the recorded call to an automatic speech recognizer for converting the media file to digital information suitable for analysis; and when the call is unwanted, handling the call based on classification of the call.

Abstract: Systems for and methods of training a spoofing detection model include receiving a plurality of customer call interactions; classifying each of the plurality of customer call interactions as a spoofed call or a non-spoofed call using a spoofing detection model; generating a voiceprint for each of the plurality of customer call interactions; comparing the generated voiceprints; grouping the generated voiceprints into one or more clusters based on the comparing, wherein each cluster represents a single speaker; locating a cluster containing a spoofed call and a non-spoofed call, thereby indicating that the non-spoofed call was misclassified by the spoofing detection model; and updating the spoofing detection model with the non-spoofed call.

Abstract: A first input signal captured by one or more sensors associated with an ANR headphone is received. A frequency domain representation of the first input signal is computed for a set of discrete frequencies, based on which a set of parameters is generated for a digital filter disposed in an ANR signal flow path of the ANR headphone, the set of parameters being such that a loop gain of the ANR signal flow path substantially matches a target loop gain. Generating the set of parameters comprises: adjusting a response of the digital filter at frequencies (e.g., spanning between 200 Hz-5 kHz). A response of at least 3 second order sections of the digital filter is adjusted. A second input signal in the ANR signal flow path is processed using the generated set of parameters to generate an output signal for driving the electroacoustic transducer of the ANR headphone.

Abstract: A sound pickup transducer array, deployed within an enclosed area, is coupled to a sound recorder. A processor, coupled to the sound recorder, provides a button or speech recognizer through which a person in the enclosed area issues a command signifying the occurrence of a sound for which categorizing is requested. The processor is programmed to respond to the issued command by extracting and storing an audio snippet copied from the audio recorder, in a digital memory, where the snippet corresponds to sound captured before, during and after the issued command. The processor communicates the stored audio snippet to an artificial intelligence system trained to categorize sounds as to what produced them. The artificial intelligence system may employ trained model feature extraction, a neural network categorization system, and/or direction of sound arrival analysis.

Abstract: A system for data recording across a network includes a session border controller connecting incoming data from the network to an endpoint recorder. A load balancer is connected to the network between the session border controller and the endpoint and receives the incoming data from the session border controller, wherein the load balancer comprises computer memory and a processor configured to parse the incoming data into video data and audio data according to identification protocols accessible by the processor from the computer memory. A recording apparatus includes recording memory that receives the incoming data from the load balancer, stores a duplicate version of the incoming data in the recording memory, and connects the incoming data to the endpoint.

Abstract: The disclosure provides a method, system, and a software program product for assisting a user and/or managing tasks of the user, by a mobile secretary cloud application configured to operate in a mobile client device and cloud server network. The mobile secretary cloud application reads data from another software application and operates at least one of another application and a third application based on the read data. Further, Artificial intelligence is utilized by the mobile secretary cloud application for operating another application and the third application.

Abstract: An example method includes providing third party access to listen to a call and the ability to inject audio into an isolated audio portion of the call by using a switch controller within a mobile virtual network operator (MVNO) platform. The switch controller can to separate a call into multiple audio portions. The example method can further include collecting and warehousing call metadata and providing access to isolated audio portions via an external database, web object, API, etc.

Abstract: Exemplary methods include a processor executing instructions stored in a memory for generating an electronic count-in, binding it to a first performance to generate a master clock and transmitting a first musician's first performance and first timing information to a network caching, storage, timing and mixing module. The first musician's first performance may be recorded locally at full resolution and transmitted to a full resolution media server and the first timing information may be transmitted to the master clock. The first musician's first performance is transmitted to a sound device of a second musician and the second musician creates a second performance, transmits it and second timing information to a network caching, storage, timing and mixing module. The first and second performances are mixed along with the first and the second timing information to generate a first mixed audio, which can be transmitted to a sound device of a third musician.

Abstract: A method including receiving an incoming call from a calling device of a caller and determining identification information for the calling device. The method also includes receiving voice audio data of the caller from the calling device, converting the voice audio data to caller phones, and identifying a customer account associated with the identification information. The method further includes obtaining user phones for multiple candidate users associated with the identified customer account, comparing the caller phones to the user phones for the multiple candidate users, and determining the identity of the caller based on the comparison.

Abstract: This disclosure describes, in part, techniques for establishing network-based data communications (e.g., voice calls, video calls, etc.) between a user device of a user and a remote device of another user, and transitioning the data communications to a different user device of the user based on various types of information. In some examples, the user devices may be located in one or more environments of the user, and the data communications may be transitioned between the user devices based, at least in part, on a location of the user in the environment(s) relative to the multiple devices. For instance, if a user device is performing data communications with the remote device, but it is determined that the user has moved into a closer proximity to another user device, the performance of the data communications may be transitioned to the other user device to which the user is in closer proximity.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to synthetic call status updates. In some implementations, a method includes determining, by a task manager module, that a triggering event has occurred to provide a current status of a user call request. The method may then determine, by the task manager module, the current status of the user call request. A representation of the current status of the user call request is generated. Then, the generated representation of the current status of the user call request is provided to the user.

Abstract: Described herein is at least one non-transitory computer-readable medium comprising instructions to direct at least one processor to utilize a global dialing format. The at least one processor is directed to retrieve a phone number saved on a communication device. The retrieved phone number is converted to the global dialing format by a reformatting sequence or a manual intervention sequence and the reformatted phone number thereby obtained is saved to a contacts list on the communication device. A QR code is created for contact sharing. A local phone number is retrieved from the reformatted phone number when a user selects the reformatted phone number for dialing. The local phone number is in a destination country. A call logic sequence is initiated to assemble the dialing protocol necessary to complete the phone call. An authentication process is executed to verify that the local phone number is an actual phone number in the destination country.

Abstract: A hearing device comprises an input transducer comprising a microphone for providing an electric input signal representative of sound in the environment of the hearing device, a pre-processor for processing electric input signal and providing a multitude of feature vectors, each being representative of a time segment thereof, a neural network processor adapted to implement a neural network for implementing a detector configured to provide an output indicative of a characteristic property of the at least one electric input signal, the neural network being configured to receive said multitude of feature vectors as input vectors and to provide corresponding output vectors representative of said output of said detector in dependence of said input vectors.

Abstract: Telephone calls can be validated using blockchains. In one example, a computing node can generate a distributed ledger indicating relationships between telephone numbers and unique identifiers assigned to the telephone numbers. The distributed ledger can be accessible to a telecommunication system for validating telephone calls.

Abstract: Concepts and technologies are disclosed herein for communications network security for handling proxy voice calls that employ a voicebot. According to one aspect disclosed herein, a call handling system can intercept, from a communications network, a call request that is directed to a called target device. The call handling system can determine that the call request was generated by a voicebot on behalf of a user equipment. The call handling system can suspend the call request from being routed to the called target device. The call handling system can generate a voicebot confirmation request that identifies the voicebot and the user equipment. The call handling system can provide the voicebot confirmation request to the called target. The call request can be suspended while the voicebot confirmation request is provided to the called target device.

Abstract: A call analytics system and associated methods that can be used to rapidly analyze call data and provide conversational insights. The call analytics system receives audio call data of a phone call between a customer and an agent of a business, and converts the call data into one or more messages for handling by a distributed stream-processing platform. In some embodiments, the stream-processing platform is the Apache Kafka platform. The distributed platform processes the messages and communicates with various software modules to generate a variety of conversational insights. When processed by a stream-processing platform, certain analyses can occur in parallel which allows conversational insights to be provided to the businesses shortly (e.g., within seconds) after the call data is received.