Patent Document ID: 8447603
Application ID: 12639011

Base Claim:
1. A method of evaluating naturalness of speech utterances by using crowd wisdom models, the method comprising: presenting a plurality of human-testers with obtained speech utterances; receiving, for each presented speech utterance, a plurality of corresponding human-tester generated speech utterances being human repetitions of the presented speech utterance; generating, for each presented speech utterance, an utterance-specific scoring model that is based on the corresponding human-tester generated speech utterances, each scoring model being configured to estimate a level of speech naturalness for the presented speech utterance using at least crowd wisdom models; and deriving a speech naturalness score for each presented speech utterance by respectively applying the utterance-specific scoring model to each presented speech utterance, wherein at least one of: the presenting, the receiving, the generating, and the deriving is executed by at least one computer processor.

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Claim 3:
3. The method according to claim 1 , further comprising generating human tester-specific acoustic and prosodic models usable for measuring acoustic and prosodic distances between different human testers, and wherein the acoustic and prosodic distances are usable for performing similarity analysis of human testers.