Abstract: Systems, devices, and methods are provided for multi-stem volume equalization, wherein the volume levels of each stem may be adjusted non-uniformly. Audio may be diarized into a plurality of stems, including background noise separate. Mean and variance of the volume levels of the stems may be computed. Each audio stem may be automatically adjusted based on a stem-specific preference that a user may specify. View may adjust actor volume relative to the mean/variance that maintains a relative difference in volume levels between stems.

Abstract: Techniques for entity and relationship detect from unstructured text as a service are described. A service may receive a request to identify entities within a provided unstructured text element, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities. The service may send additional requests to an additional service or services implementing additional deep machine learning models to identify relationships between detected attributes and ones of the detected entities. The outputs from all services can be analyzed and consolidated into a single result that identifies the entities, any attributes of the entities, and confidence scores indicating the confidence in each detected entity.

Abstract: Played audio frames included in first audio content may be received over one or more networks. The first audio content may further include a replaced audio frame. The first audio content may correspond to video content that includes video of a face of a person as the person utters speech that is captured in the first audio content. Location data may also be received over the one or more networks. The location data may indicate locations of facial features of the face of the person in a video frame of the video content. The video frame may correspond to the replaced audio frame. Audio output may be generated that approximates a portion of the speech corresponding to the replaced audio frame. The audio output may be inserted into a replacement audio frame. Second audio content may be played including the played audio frames and the replacement audio frame.

Abstract: Audio content and played frames may be received. The audio content may correspond to first video content. The played frames may be included in the first video content. The first video content may further include a replaced frame. The played frames and the replaced frame may include a face of a person. Location data may also be received that indicates locations of facial features of the face of the person within the replaced frame. A replacement frame may be generated, such as by rendering the facial features in the replacement frame based at least in part on the locations indicated by the location data and positions indicated by a portion of the audio content that is associated with the replaced frame. Second video content may be played including the played frames and the replacement frame. The replacement frame may replace the replaced frame in the second video content.