1. A method, comprising: receiving one or more data logs, wherein the one or more data logs comprise at least one or more recordings of spoken queries; transcribing the one or more recordings of spoken queries; identifying within transcriptions of the one or more recordings of spoken queries transcriptions having an occurrence exceeding a threshold, wherein the threshold is based on a comparison of the transcriptions with previous transcribed queries; processing, by a computing device, recordings of spoken queries corresponding to the identified transcriptions using both a language model and an acoustic model; based on a comparison of the processing using the language model with the processing using the acoustic model, identifying, from the one or more data logs, one or more recordings of spoken queries corresponding to transcriptions deemed to be due to noise and a remainder of the one or more recordings of spoken queries; generating one or more modified data logs including the remainder of the recordings of spoken queries; and providing the one or more modified data logs and associated transcriptions of the one or more recordings of spoken queries within the one or more modified data logs as a training data set to update one or more acoustic models for particular languages.