Incorporating local information of the acoustic environments to MAP-based feature compensation and acoustic model adaptation

•Designing suitable prior distributions is important for MAP-based methods.•We propose a framework to characterize local information of acoustic environments.•With the local information, suitable prior distributions can be designed.•Four algorithms to specify hyper-parameters for prior distributions are derived.•Results confirm the advantage of using local information to MAP-based methods.