Abstract: A method includes receiving audio features and generating a latent speech representation based on the audio features. The method also includes generating a target quantized vector token and a target token index for a corresponding latent speech representation. The method also includes generating a contrastive context vector for a corresponding unmasked or masked latent speech representation and deriving a contrastive self-supervised loss based on the corresponding contrastive context vector and the corresponding target quantized vector token. The method also include generating a high-level context vector based on the contrastive context vector and, for each high-level context vector, learning to predict the target token index at the corresponding time step using a cross-entropy loss based on the target token index.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically updating the connection pool for a web server without any interruption to the resource. In particular, in one or more embodiments, the disclosed systems can continuously monitor load data for various web servers. Further, the disclosed systems can utilize load data, historical load data, and/or user settings to predict a number of connections over a future time period and can determine an updated connection pool size for a web server based on that predicted number of connections. The disclosed systems can also dynamically modify the connection pool size for the web server based on the updated connection pool size without interrupting the resource or any of its ongoing connections in any way.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically updating the connection pool for a web server without any interruption to the resource. In particular, in one or more embodiments, the disclosed systems can continuously monitor load data for various web servers. Further, the disclosed systems can utilize load data, historical load data, and/or user settings to predict a number of connections over a future time period and can determine an updated connection pool size for a web server based on that predicted number of connections. The disclosed systems can also dynamically modify the connection pool size for the web server based on the updated connection pool size without interrupting the resource or any of its ongoing connections in any way.