Abstract: Embodiments of the disclosed subject matter include a system and method for improving a phrase spotting score. The method may include providing a test speech and a transcription thereof, obtaining an input phrases in a textual form for spotting in the provided test speech, generating a phonetic transcription for the input phrase, and applying a classifying model to the phonetic transcription of the test speech according to a posterior probability feature and to a set of phrase spotting features related to the input phrase, the phrase spotting features selected from features extracted from a decoding process of the phrase, context-based features, and/or a combination thereof, thereby spotting the given phrase with a confidence score. The classifying model is priorly trained for spotting the input phrase according to the posterior probability feature and to the plurality of phrase spotting features.

Abstract: Embodiments of the disclosed subject matter include a system and method for improving a phrase spotting score. The method may include providing a test speech and a transcription thereof, obtaining an input phrases in a textual form for spotting in the provided test speech, generating a phonetic transcription for the input phrase, and applying a classifying model to the phonetic transcription of the test speech according to a posterior probability feature and to a set of phrase spotting features related to the input phrase, the phrase spotting features selected from features extracted from a decoding process of the phrase, context-based features, and/or a combination thereof, thereby spotting the given phrase with a confidence score. The classifying model is priorly trained for spotting the input phrase according to the posterior probability feature and to the plurality of phrase spotting features.