Abstract: Systems and methods are disclosed for contrastive learning with adversarial data for robust speech translation. For example, a method may include inputting a speech signal to an automatic speech recognition model to obtain a transcript hypothesis including a first sequence of tokens, wherein the speech signal is associated with a golden transcript including a second sequence of tokens; inputting the first sequence of tokens to an encoder of a neural machine translation model to obtain a first sentence representation; inputting the second sequence of tokens to the encoder of the neural machine translation model to obtain a second sentence representation; determining a contrastive loss function based on the first sentence representation and the second sentence representation; and training the encoder of the neural machine translation model based on the contrastive loss function.

Abstract: A system can access, from an interaction database, customer interaction information comprising a customer interaction, wherein the customer interaction information represents an interaction between a customer and an entity, and determine, based on a complaint identification model, whether a segment of the interaction comprises a complaint, wherein the complaint identification model has been generated based on machine learning applied to past customer interaction information representative of past customer interactions other than the customer interaction.

Abstract: A method for repairing a component is provided. The method comprises: tracing an electrode across a defect/damage on the component at a preselected distance from the component; feeding a first metal powder and a second metal powder into a discharging gap between the electrode and the component; controlling feed rates of the first and second metal powders separately; and electro-spark depositing the first and second metal powders to the component to form a hybrid metal coating. The first metal powder comprises a first metal or alloy with a Vickers hardness rating of about 70-200% of the Vickers hardness rating of the component. The second metal powder comprises a second metal or alloy having lubricating/anti-corrosion properties.

Abstract: A method for repairing a component is provided. The method comprises: tracing an electrode across a defect/damage on the component at a preselected distance from the component; feeding a first metal powder and a second metal powder into a discharging gap between the electrode and the component; controlling feed rates of the first and second metal powders separately; and electro-spark depositing the first and second metal powders to the component to form a hybrid metal coating. The first metal powder comprises a first metal or alloy with a Vickers hardness rating of about 70-200% of the Vickers hardness rating of the component. The second metal powder comprises a second metal or alloy having lubricating/anti-corrosion properties.