Abstract: Systems and methods for dynamically generating federated application programming interfaces (APIs) are disclosed. Network components, such as servers and other devices, transmit and receive electronic communications according to standards and protocols native to those network components. Aspects of the present system detect those native standards and furthermore generate a federated API that allows for the content of the electronic communications to be represented in a universal format. Accordingly, the universal format may be used for network communications between system components and modules that may not have otherwise been compatible to receive the communications, and furthermore the communications may be transformed back to their respective native formats upon reaching their destinations. The present system generates models for representing these APIs, where instances of the models may be instantiated for particular API calls, as detected.

Abstract: Systems and methods for dynamically generating federated application programming interfaces (APIs) are disclosed. Network components, such as servers and other devices, transmit and receive electronic communications according to standards and protocols native to those network components. Aspects of the present system detect those native standards and furthermore generate a federated API that allows for the content of the electronic communications to be represented in a universal format. Accordingly, the universal format may be used for network communications between system components and modules that may not have otherwise been compatible to receive the communications, and furthermore the communications may be transformed back to their respective native formats upon reaching their destinations. The present system generates models for representing these APIs, where instances of the models may be instantiated for particular API calls, as detected.

Abstract: Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.

Abstract: A brake pad having a backing plate, friction lining, and a surface coating adhered to the friction lining. The surface coating may be formulated to generate a transfer layer on a brake rotor faster than the friction lining alone. The surface coating may be adhered to the friction lining in a predetermined design.

Abstract: A system for suppressing noise and enhancing speech and a related method are disclosed. The system trains a neural network model that takes banded energies corresponding to an original noisy waveform and produces a speech value indicating the amount of speech present in each band at each frame. The neural model comprises a feature extraction block that implements some lookahead. The feature extraction block is followed by an encoder with steady down-sampling along the frequency domain forming a contracting path. The encoder is followed by a corresponding decoder with steady up-sampling along the frequency domain forming an expanding path. The decoder receives scaled output feature maps from the encoder at a corresponding level. The decoder is followed by a classification block that generates a speech value indicating an amount of speech present for each frequency band of the plurality of frequency bands at each frame of the plurality of frames.

Abstract: Systems and methods for dynamically generating federated application programming interfaces (APIs) are disclosed. Network components, such as servers and other devices, transmit and receive electronic communications according to standards and protocols native to those network components. Aspects of the present system detect those native standards and furthermore generate a federated API that allows for the content of the electronic communications to be represented in a universal format. Accordingly, the universal format may be used for network communications between system components and modules that may not have otherwise been compatible to receive the communications, and furthermore the communications may be transformed back to their respective native formats upon reaching their destinations. The present system generates models for representing these APIs, where instances of the models may be instantiated for particular API calls, as detected.

Abstract: Computer-implemented methods for speech synthesis are provided. A speech synthesizer may be trained to generate synthesized audio data that corresponds to words uttered by a source speaker according to speech characteristics of a target speaker. The speech synthesizer may be trained by time-stamped phoneme sequences, pitch contour data and speaker identification data. The speech synthesizer may include a voice modeling neural network and a conditioning neural network.

Abstract: A speech separation server comprises a deep-learning encoder with nonlinear activation. The encoder is programmed to take a mixture audio waveform in the time domain, learn generalized patterns from the mixture audio waveform, and generate an encoded representation that effectively characterizes the mixture audio waveform for speech separation.

Abstract: Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.

Abstract: Systems and methods are disclosed for improving data modeling and translating. The system receives network-related data from external systems, wherein the data is formatted in various modeling languages corresponding to the system or network components from which it is transmitted. The system parses and extracts the network-related data for identifying parameters within the data, wherein the parameters correspond to the system or network component's operational status. The system translates the extracted data to a human-readable format for displaying the data to a system user and allowing the user to modify or provide additional parameters. The system generates a new instance of the network-related data including the user-provided parameters, wherein the new instance is translated into a format in accordance with the modeling language of the initially received network-related data.

Abstract: A brake pad having a backing plate, friction lining, and a surface coating adhered to the friction lining. The surface coating may be formulated to generate a transfer layer on a brake rotor faster than the friction lining alone. The surface coating may be adhered to the friction lining in a predetermined design.

Abstract: A brake pad having a backing plate, friction lining, and a surface coating adhered to the friction lining. The surface coating may be formulated to generate a transfer layer on a brake rotor faster than the fiction lining alone. The surface coating may be adhered to the friction lining in a predetermined design.

Abstract: A brake pad having a backing plate, friction lining, and a surface coating adhered to the friction lining. The surface coating may be formulated to generate a transfer layer on a brake rotor faster than the fiction lining alone. The surface coating may be adhered to the friction lining in a predetermined design.

Abstract: Computer-implemented methods for speech synthesis are provided. A speech synthesizer may be trained to generate synthesized audio data that corresponds to words uttered by a source speaker according to speech characteristics of a target speaker. The speech synthesizer may be trained by time-stamped phoneme sequences, pitch contour data and speaker identification data. The speech synthesizer may include a voice modeling neural network and a conditioning neural network.