Abstract: In some embodiments, the instant invention provides for specifically programming a computer machine to perform at lease: receiving, from a trader, a passive indication of interest (IOI) for a financial instrument, where the passive IOI is a bid or an offer and a resting liquidity; classifying the trader as at least: a trading type that is subject to a decline ratio calculation for crossing the passive IOIs, where the decline ratio calculation identifies how many eligible aggressive IOIs have been previously declined by the trader out of a total number of all eligible aggressive IOIs that were offered to such trader; receiving, from another trader, another IOI that is an aggressive IOI, where the aggressive IOI is available to be immediately crossed at the price; and determining, in real-time, an allocation of the aggressive IOI to the trader submitted the passive IOI based on the decline ratio of the trader.

Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least the following components: an adaptive self-trained computer engine programmed, during a training stage, to electronically receive an initial speech audio data generated by a microphone of a computing device; dynamically segment the initial speech audio data and the corresponding initial text into a plurality of user phonemes; dynamically associate a plurality of first timestamps with the plurality of user-specific subject-specific phonemes; and, during a transcription stage, electronically receive to-be-transcribed speech audio data of at least one user; dynamically split the to-be transcribed speech audio data into a plurality of to-be-transcribed speech audio segments; dynamically assigning each timestamped to-be-transcribed speech audio segment to a particular core of the multi-core processor; and dynamically transcribing, in parallel, the plurality of timestamped to-be-transcribed speech audio segm

Abstract: In some embodiments, the present invention provides for a computer-implemented method, including: causing, by a specifically programmed computer call management communication system, to transform, over a computer network, computing devices of users, into corresponding specialized call management devices, by having each computing device to execute a specialized call management client software application being in electronic communication with the specifically programmed computer call management communication system over the computer network by utilizing SIP; where the specialized call management client software application generates specialized graphical user interfaces configured to allow each user to concurrently initiate and maintain, over the computer network, a plurality of voice communications of distinct types with other users, by, for example, allowing each user to independently and dynamically divert, in real-time, any voice communication of any type to any audio device associated with a corresponding

Abstract: Systems and methods herein provide for establishing a subjective viewpoint in text. In one embodiment, a method includes identifying intents and metrics in each of a plurality of texts, calculating a sentiment score for each text based on the identified intents and metrics of each text, and calculating a disfluency score for each text to weight the sentiment score of each text. The method also includes training the machine learning model with the texts, and processing a subsequent text through the trained machine learning model to determine a sentiment score of the subsequent text.

Abstract: Systems and methods herein provide for establishing a subjective viewpoint in text. In one embodiment, a method includes identifying intents and metrics in each of a plurality of texts, calculating a sentiment score for each text based on the identified intents and metrics of each text, and calculating a disfluency score for each text to weight the sentiment score of each text. The method also includes training the machine learning model with the texts, and processing a subsequent text through the trained machine learning model to determine a sentiment score of the subsequent text.

Abstract: In some embodiments, an exemplary inventive system for improving computer speed and accuracy of automatic speech transcription includes at least components of: a computer processor configured to perform: generating a recognition model specification for a plurality of distinct speech-to-text transcription engines; where each distinct speech-to-text transcription engine corresponds to a respective distinct speech recognition model; receiving at least one audio recording representing a speech of a person; segmenting the audio recording into a plurality of audio segments; determining a respective distinct speech-to-text transcription engine to transcribe a respective audio segment; receiving, from the respective transcription engine, a hypothesis for the respective audio segment; accepting the hypothesis to remove a need to submit the respective audio segment to another distinct speech-to-text transcription engine, resulting in the improved computer speed and the accuracy of automatic speech transcription and gen

Abstract: In some embodiments, an exemplary inventive system for improving computer speed and accuracy of automatic speech transcription includes at least components of: a computer processor configured to perform: generating a recognition model specification for a plurality of distinct speech-to-text transcription engines; where each distinct speech-to-text transcription engine corresponds to a respective distinct speech recognition model; receiving at least one audio recording representing a speech of a person; segmenting the audio recording into a plurality of audio segments; determining a respective distinct speech-to-text transcription engine to transcribe a respective audio segment; receiving, from the respective transcription engine, a hypothesis for the respective audio segment; accepting the hypothesis to remove a need to submit the respective audio segment to another distinct speech-to-text transcription engine, resulting in the improved computer speed and the accuracy of automatic speech transcription and gen

Abstract: In some embodiments, the instant invention provides for specifically programming a computer machine to perform at lease: receiving, from a trader, a passive indication of interest (IOI) for a financial instrument, where the passive IOI is a bid or an offer and a resting liquidity; classifying the trader as at least: a trading type that is subject to a decline ratio calculation for crossing the passive IOIs, where the decline ratio calculation identifies how many eligible aggressive IOIs have been previously declined by the trader out of a total number of all eligible aggressive IOIs that were offered to such trader; receiving, from another trader, another IOI that is an aggressive IOI, where the aggressive IOI is available to be immediately crossed at the price; and determining, in real-time, an allocation of the aggressive IOI to the trader submitted the passive IOI based on the decline ratio of the trader.

Abstract: Controlling the recording of a wireless device's communications in a system comprising the wireless device, a recording device operable to record the wireless device's communications, and a controlling server operable to control the recording of the wireless device's communications in accordance with a recording protocol. The wireless device's communications are recorded according to a first recording policy. At the wireless device, an event is detected that indicates a change in the recording environment of the wireless device. The wireless device transmits an alert to the controlling server identifying the event. The controlling server compares the identified event to events defined by the recording protocol, and based on the comparison determines to instruct the wireless device to implement a second recording policy. The controlling server transmits an instruction to the wireless device to implement the second recording policy.