Abstract: A method, computer program product, and computing system for receiving one or more inputs indicative of at least one of: a relative location of a speaker and a microphone array, and a relative orientation of the speaker and the microphone array. One or more reference signals may be received. A speech processing system may be trained using the one or more inputs and the one or more reference signals.

Abstract: A method includes: providing a workstation having a playback app configured for audio playback; providing a decryption module having a decryption functionality communicatively connected to the playback app; encrypting, by a server using an encryption key associated with the decryption module, audio data; and decrypting, using the decryption module, the encrypted audio data. The decryption module having the decryption functionality is provided as part of the playback app, as part of firmware of a headphone, or as part of a phone app. The method can additionally include: i) authenticating, using a voice biometric authentication module, a transcriber; ii) enabling decryption by the decryption module only upon input of a decode PIN by the transcriber; and iii) a) modifying the audio data to spatialize speech component and noise component of the audio data at different angles using head-related transfer function (HRTF) filtering, and b) playing back the audio data binaurally.

Abstract: A method, computer program product, and computing system for defining model representative of a plurality of acoustic variations to a speech signal, thus defining a plurality of time-varying spectral modifications. The plurality of time-varying spectral modifications may be applied to a plurality of feature coefficients of a target domain of a reference signal, thus generating a plurality of time-varying spectrally-augmented feature coefficients of the reference signal.

Abstract: A method, apparatus and computer program product are disclosed to provide for the selective establishment and use of secure communication channels to facilitate the exchange of data objects containing potentially sensitive information in a network environment. In some example implementations, upon detection that the processing of a network entity request implicates the exchange of non-public information amongst one or more other network entities, one or more secure communication channels are established between a secure transfer system and the relevant network entities such that non-public information neither passes to nor resides on system components associated with non-secure network entities.

Abstract: A method, computer program product, and computing system for obtaining one or more speech signals from a first device, thus defining one or more first device speech signals. One or more speech signals may be obtained from a second device, thus defining one or more second device speech signals. A noise component model may be selected from a plurality of noise component models based upon, at least in part, the one or more first device speech signals and the one or more second device speech signals. The one or more second device speech signals may be augmented, at run-time, based upon, at least in part, the noise component model.

Abstract: A method, computer program product, and computing system for obtaining one or more speech signals from a first device, thus defining one or more first device speech signals. One or more speech signals may be obtained from a second device, thus defining one or more second device speech signals. One or more acoustic relative transfer functions mapping reverberation from the one or more first device speech signals to the one or more second device speech signals may be generated. One or more augmented second device speech signals may be generated based upon, at least in part, the one or more acoustic relative transfer functions and first device training data.

Abstract: A method, computer program product, and computing system for obtaining one or more speech signals from a first device, thus defining one or more first device speech signals. One or more speech signals may be obtained from a second device, thus defining one or more second device speech signals. One or more noise component models mapping one or more noise components from the one or more first device speech signals to the one or more second device speech signals may be generated. One or more augmented second device speech signals may be generated based upon, at least in part, the one or more noise component models and first device training data.

Abstract: A method, computer program product, and computing system for obtaining one or more speech signals from a first device, thus defining one or more first device speech signals. One or more speech signals may be obtained from a second device, thus defining one or more second device speech signals. An acoustic relative transfer function may be selected from a plurality of acoustic relative transfer functions based upon, at least in part, the one or more first device speech signals and the one or more second device speech signals. The one or more second device speech signals may be augmented, at run-time, based upon, at least in part, the acoustic relative transfer function.

Abstract: A method, computer program product, and computing system for receiving a signal from each microphone of a plurality of microphones, thus defining a plurality of signals. One or more inter-microphone gain-based augmentations may be performed on the plurality of signals, thus defining one or more inter-microphone gain-augmented signals.

Abstract: A method of processing speech includes: providing a first set of audio data having audio features in a first bandwidth; down-sampling the first set of audio data to a second bandwidth lower than the first bandwidth; producing, by a high frequency reconstruction network (HFRN), an estimate of audio features in the first bandwidth for the first set of audio data, based on at least the down-sampled audio data; inputting, into the HFRN, a second set of audio data having audio features in the second bandwidth; producing, by the HFRN, based on a second set of audio data having audio features in the second bandwidth, an estimate of audio features in the first bandwidth for the second set of audio data; and training a speech processing system (SPS) using the estimates of audio features in the first bandwidth for the first and second sets of audio data.

Abstract: A method, computer program product, and computing system for receiving a signal from each microphone of a plurality of microphones, thus defining a plurality of signals. One or more microphone frequency responses associated with at least one microphone may be received. One or more microphone frequency response-based augmentations may be performed on the plurality of signals based upon, at least in part, the one or more microphone frequency responses, thus defining one or more microphone frequency response-based augmented signals.

Abstract: A method, computer program product, and computing system for receiving a signal from each microphone of a plurality of microphones, thus defining a plurality of signals. Harmonic distortion associated with at least one microphone may be determined. One or more harmonic distortion-based augmentations may be performed on the plurality of signals based upon, at least in part, the harmonic distortion associated with the at least one microphone, thus defining one or more harmonic distortion-based augmented signals.

Abstract: A method, computer program product, and computing system for obtaining calibration information for a three-dimensional space incorporating an ACI system; and processing the calibration information to calibrate the ACI system.

Abstract: Methods, apparatuses, and systems are described for artificial-intelligence based techniques for programmatically generating and integrating application programming interfaces (APIs). An example method may include, in response to receiving by one or more processors, an integration data object, processing, by the one or more processors, based at least in part on an integration machine learning model, the integration data object in order to identify one or more integration features associated with the integration data object; programmatically generating, by the one or more processors, based at least in part on the one or more integration features, an application programming interface (API) model corresponding with the integration data object; and generating, by the one or more processors, an API generation data object corresponding with the API model for execution.

Abstract: A method, computer program product, and computing system for receiving a signal from each microphone of a plurality of microphones, thus defining a plurality of signals. One or more inter-microphone gain-based augmentations may be performed on the plurality of signals, thus defining one or more inter-microphone gain-augmented signals.

Abstract: A method, computer program product, and computing system for receiving information associated with an acoustic environment. Acoustic metadata associated with audio encounter information received by a first microphone system may be received. One or more speaker representations may be defined based upon, at least in part, the acoustic metadata associated with the audio encounter information and the information associated with the acoustic environment. One or more portions of the audio encounter information may be labeled with the one or more speaker representations and a speaker location within the acoustic environment.

Abstract: A method, computer program product, and computing system for receiving information associated with an acoustic environment. Acoustic metadata associated with audio encounter information received by a first microphone system may be received. One or more speaker representations may be defined based upon, at least in part, the acoustic metadata associated with the audio encounter information and the information associated with the acoustic environment. One or more portions of the audio encounter information may be labeled with the one or more speaker representations and a speaker location within the acoustic environment.

Abstract: Described are systems, apparatuses, methods, and computer program products for low-input initiation of user account-affiliated transactions. An example apparatus can comprise a processor and a memory storing program code configured to cause the apparatus to store payor information, authentication information, and account information associated with a payor; store payee information associated with payees; receive, from a payee device or a payor device, a request to initiate a payment, the request comprising information about a payor and payee as well as a payment amount; determine, based at least upon the information about the payor and payee, and the stored information, whether the payment is to a pre-approved payee or merchant with which payor has a pre-existing account; and, in an instance in which the determination is in the affirmative, initiate the payment by providing at least payor and payee information and payment amount a payment processor.

Abstract: Described are systems, apparatuses, methods, and computer program products for low-input initiation of user account-affiliated transactions. An example apparatus can comprise a processor and a memory storing program code configured to cause the apparatus to store payor information, authentication information, and account information associated with a payor; store payee information associated with payees; receive, from a payee device or a payor device, a request to initiate a payment, the request comprising information about a payor and payee as well as a payment amount; determine, based at least upon the information about the payor and payee, and the stored information, whether the payment is to a pre-approved payee or merchant with which payor has a pre-existing account; and, in an instance in which the determination is in the affirmative, initiate the payment by providing at least payor and payee information and payment amount a payment processor.

Abstract: Described are systems, apparatuses, methods, and computer program products for low-input initiation of user account-affiliated transactions. An example apparatus can comprise a processor and a memory storing program code configured to cause the apparatus to store payor information, authentication information, and account information associated with a payor; store payee information associated with payees; receive, from a payee device or a payor device, a request to initiate a payment, the request comprising information about a payor and payee as well as a payment amount; determine, based at least upon the information about the payor and payee, and the stored information, whether the payment is to a pre-approved payee or merchant with which payor has a pre-existing account; and, in an instance in which the determination is in the affirmative, initiate the payment by providing at least payor and payee information and payment amount a payment processor.