Abstract: An automatic speech recognition (ASR) system is disclosed that compensates for different noise environments and types of speech. The ASR system may be implemented as part of an action camera that collects status data, such as geographic location data and/or sensor data. The ASR system may perform speech recognition using an acoustic model and a speech recognition model, which are trained for operation in specific noise environments and/or for specific types of speech. The computing device may categorize a current status of the action camera, as indicated by the status data, into an action profile, which may represent a particular activity (e.g., running, cycling, etc.) or state of the computing device. The computing device may dynamically switch the acoustic model and/or the speech recognition model to compensate for anticipated changes in the noise environment and speech based upon the action profile to facilitate the recognition of various action camera functions.

Abstract: An automatic speech recognition (ASR) system is disclosed that compensates for different noise environments and types of speech. The ASR system may be implemented as part of an action camera that collects status data, such as geographic location data and/or sensor data. The ASR system may perform speech recognition using an acoustic model and a speech recognition model, which are trained for operation in specific noise environments and/or for specific types of speech. The computing device may categorize a current status of the action camera, as indicated by the status data, into an action profile, which may represent a particular activity (e.g., running, cycling, etc.) or state of the computing device. The computing device may dynamically switch the acoustic model and/or the speech recognition model to compensate for anticipated changes in the noise environment and speech based upon the action profile to facilitate the recognition of various action camera functions.