New patents are issued by the USPTO on Tuesdays. Today's Spotlight Patents concern aspects of digital fingerprinting. Assigned to VMWare, the first patent addresses techniques for teleporting content over network using hash matches. Assigned to AffectLayer (IL), the second patent addresses techniques for automatic speaker identification in calls.
10,628,382, "Teleporting content over network using hash matches," assigned to VMware, Inc.
Abstract
Files, e.g., disk-image files can be teleported from a source node of a network to a target node in that a copy of file can be assembled at least in part using file parts found on the target node. Source hashes can be generated based on segments of the source file. The source hashes can be sent by the source node and received by the target node. The target node compares each source hash with target hashes of segments of files on the target node. When a comparison results in a match, the file copy can include a copy of the matching target segment or include a reference to the matching segment. For higher performance, fingerprints of the source hash and the target hashes can be compared, with hash comparisons being performed in the event of a fingerprint match. The target fingerprints can be arranged in a cuckoo filter or other probabilistic filter.
10,637,898, "Automatic speaker identification in calls," assigned to AffectLayer, Inc. (IL).
Abstract
A speaker identification system ("system") automatically assigns a speaker to voiced segments in a conversation, without requiring any previously recorded voice sample or any other action by the speaker. The system enables unsupervised learning of speakers' fingerprints and using such fingerprints for identifying a speaker in a recording of a conversation. The system identifies one or more speakers, e.g., representatives of an organization, who are in conversation with other speakers, e.g., customers of the organization. The system processes recordings of conversations between a representative and one or more customers to generate multiple voice segments having a human voice, identifies the voice segments that have the same or a similar feature, and determines the voice in the identified voice segments as the voice of the representative.
