Abstract: Embodiments of the present invention provide a computer-implemented method for communicating a reference code for a transaction. The method monitors a communication session conducted between a user and an agent via a communication channel, extracts user and channel properties from the monitored communication session, selects a reference code from a set of references codes stored on a database, in which the selection is based at least in part on the extracted communication channel properties and the extracted user properties, and then communicates the selected reference code to the user.

Abstract: Embodiments of the present invention provide a computer-implemented method for communicating a reference code for a transaction. The method monitors a communication session conducted between a user and an agent via a communication channel, extracts user and channel properties from the monitored communication session, selects a reference code from a set of references codes stored on a database, in which the selection is based at least in part on the extracted communication channel properties and the extracted user properties, and then communicates the selected reference code to the user.

Abstract: An automated speech processing method, system and computer program product are disclosed. In one embodiment, a speech-to-text (STT) engine is used for converting an audio input to text data in a source language, and a machine translation (MT) engine is used for translating this text data to text data in a target language. In this embodiment, the text data in the target language is rendered on a display device, and different visualization schemes are applied to different parts of the rendered text data based on defined characteristics of the STT engine and the MT engine. In one embodiment, the defined characteristics include a defined confidence value representing the accuracy of the rendered text. For example, this confidence value may be based on both the accuracy of the conversion of the audio input and the accuracy of the translation of the text data to the target language.

Abstract: An automated speech processing method, system and computer program product are disclosed. In one embodiment, a speech-to-text (STT) engine is used for converting an audio input to text data in a source language, and a machine translation (MT) engine is used for translating this text data to text data in a target language. In this embodiment, the text data in the target language is rendered on a display device, and different visualization schemes are applied to different parts of the rendered text data based on defined characteristics of the STT engine and the MT engine. In one embodiment, the defined characteristics include a defined confidence value representing the accuracy of the rendered text. For example, this confidence value may be based on both the accuracy of the conversion of the audio input and the accuracy of the translation of the text data to the target language.

Abstract: Disclosed is a method of validating a byte sequence having a plurality of states, the method comprising designating one or more noise states from among the plurality of states; generating a most probable state sequence for the byte sequence; utilizing said state sequence to identify all noise in the byte sequence; and localizing said noise in said noise states. Once localized, the noise may be deleted from the byte sequence.

Abstract: A method of indexing a database of documents, by providing a vocabulary of n terms, indexing the database in the form of a non-negative n×m index matrix V, wherein each of its m columns represents an jth document having n entries containing a function of the number of occurrences of a ith term of said vocabulary appearing in said jth document, factoring out non-negative matrix factors T and D such that V?TD, and wherein T is an n×r term matrix, D is an r×m document matrix, and r<nm/(n+m). The index so generated is useful in two-pass information retrieval systems.

Abstract: Disclosed is a method of validating a byte sequence having a plurality of states, the method comprising designating one or more noise states from among the plurality of states; generating a most probable state sequence for the byte sequence; utilizing said state sequence to identify all noise in the byte sequence; and localizing said noise in said noise states. Once localized, the noise may be deleted from the byte sequence.

Abstract: Disclosed is a method of indexing a database of documents, comprising providing a vocabulary of n terms, indexing the database in the form of a non-negative n×m index matrix V, wherein each of its m columns represents an jth document having n entries containing a function of the number of occurrences of a ith term of said vocabulary appearing in said jth document, factoring out non-negative matrix factors T and D such that V≈TD, and wherein T is an n×r term matrix, D is an r×m document matrix, and r<nm/(n+m). The index so generated is useful in two-pass information retrieval systems.