Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing an input audio waveform using a generator neural network to generate an output audio waveform. In one aspect, a method comprises: receiving an input audio waveform; processing the input audio waveform using an encoder neural network to generate a set of feature vectors representing the input audio waveform; and processing the set of feature vectors representing the input audio waveform using a decoder neural network to generate an output audio waveform that comprises a respective output audio sample for each of a plurality of output time steps.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing an input audio waveform using a generator neural network to generate an output audio waveform. In one aspect, a method comprises: receiving an input audio waveform; processing the input audio waveform using an encoder neural network to generate a set of feature vectors representing the input audio waveform; and processing the set of feature vectors representing the input audio waveform using a decoder neural network to generate an output audio waveform that comprises a respective output audio sample for each of a plurality of output time steps.

Abstract: Apparatus and methods related to enhancement of audio content are provided. An example method includes receiving, by a computing device and via a communications network interface, a compressed audio data frame, wherein the compressed audio data frame is received after transmission over a communications network, The method further includes decompressing the compressed audio data frame to extract an audio waveform. The method also includes predicting, by applying a neural network to the audio waveform, an enhanced version of the audio waveform, wherein the neural network has been trained on (i) a ground truth sample comprising unencoded audio waveforms prior to compression by an audio encoder, and (ii) a training dataset comprising decoded audio waveforms after compression of the unencoded audio waveforms by the audio encoder. The method additionally includes providing, by an audio output component of the computing device, the enhanced version of the audio waveform.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing an input audio waveform using a generator neural network to generate an output audio waveform. In one aspect, a method comprises: receiving an input audio waveform; processing the input audio waveform using an encoder neural network to generate a set of feature vectors representing the input audio waveform; and processing the set of feature vectors representing the input audio waveform using a decoder neural network to generate an output audio waveform that comprises a respective output audio sample for each of a plurality of output time steps.

Abstract: In an embodiment, a method comprises accessing a first computer program source code file from among a plurality of files in a computer program source code repository; applying a first check to the first source code file, from among a plurality of stored checks, each of the checks comprising a set of expected source code instructions; determining whether applying the first check results in generating differential output in the repository, and in response thereto, requesting the repository to initiate a change request in relation to the first source code file, the change request comprising metadata relating to the expected source code instructions; repeating the applying and the determining, for all other checks in the plurality of stored checks; repeating the accessing, the applying and the determining, for all other files in the plurality of files.

Abstract: In an embodiment, a method comprises accessing a first computer program source code file from among a plurality of files in a computer program source code repository; applying a first check to the first source code file, from among a plurality of stored checks, each of the checks comprising a set of expected source code instructions; determining whether applying the first check results in generating differential output in the repository, and in response thereto, requesting the repository to initiate a change request in relation to the first source code file, the change request comprising metadata relating to the expected source code instructions; repeating the applying and the determining, for all other checks in the plurality of stored checks; repeating the accessing, the applying and the determining, for all other files in the plurality of files.