Abstract: Systems and methods for clock drift estimation are disclosed. For example, sensor data may be received that indicates occurrence of one or more environmental conditions that have been predetermined to impact clock crystal frequencies of a device clock. Predictive filters and/or machine learning models may be utilized to determine the impact of the environmental condition on clock drift, and clock drift values may be generated based at least in part on the sensor data. Corrections to content processing, such as the changing of resampling rates, may be applied to compensate for the clock drift value change, which may allow for the time-synchronous output of content as between two or more devices, including while the environmental condition is present.