Abstract: The systems and methods described herein can generate a voice-based interface to increase the accuracy of translations. The voice-based interface can result in fewer input audio signals being transmitted between devices of a network. A method includes: receiving a first input audio signal; generating, based on the first input audio signal, a first translation string in a second language and a second translation string in a first language; determining a first translation score based on a likelihood that the first input audio signal includes an utterance in the first language and a second translation score based on a likelihood that the first input audio signal includes an utterance in the second language; selecting the first translation string based on the first translation score and the second translation score; generating an output signal from the first translation string; and transmitting the output signal to the client device.

Abstract: The systems and methods described herein can generate a voice-based interface to increase the accuracy of translations. The voice-based interface can result in fewer input audio signals being transmitted between devices of a network. Reducing the number of redundant translation requests that are sent between the devices of a network can save bandwidth and other computational resources by processing fewer input audio signals.

Abstract: The systems and methods described herein can generate a voice-based interface to increase the accuracy of translations. The voice-based interface can result in fewer input audio signals being transmitted between devices of a network. Reducing the number of redundant translation requests that are sent between the devices of a network can save bandwidth and other computational resources by processing fewer input audio signals.

Abstract: The systems and methods described herein can generate a voice-based interface to increase the accuracy of translations. The voice-based interface can result in fewer input audio signals being transmitted between devices of a network. Reducing the number of redundant translation requests that are sent between the devices of a network can save bandwidth and other computational resources by processing fewer input audio signals.

Abstract: An automated method for determining user satisfaction with a call comprising (1) maintaining a count of the number of times a user was asked for input during the call (the “actual count”), (2) maintaining a count of the number of times a user should have been asked for input based on the dialog path the user traversed (the “ideal count”), and (3) associating no difference between the actual count and the ideal count with maximum user satisfaction and associating increasing differences between the counts with decreasing user satisfaction. In one embodiment, if the difference between the actual count and ideal count reaches a certain threshold, the call system changes the interaction with the user.

Abstract: A system, method and computer program product are provided for collecting information utilizing speech recognition. After receiving a specification, a voice application is configured based on the specification. During use, the voice application is capable of collecting information utilizing speech recognition.

Abstract: A system, method and computer program product are provided for speech recognition. During operation, a database of words are maintained. Initially, a probability is assigned to each of the words which indicates a prevalence of use of the word. Further, an utterance is received for speech recognition purposes. Such utterance is matched with one of the words in the database based on least in part on the probability.

Abstract: A system, method and computer program product are provided for tuning a speech recognition process. Initially, a database of utterances is maintained. Thereafter, information associated with the utterances is collected utilizing a speech recognition process. Further, the utterances in the database are transmitted to a plurality of users utilizing a network. As such, transcriptions of the utterances in the database may be received from the users utilizing the network. In use, the speech recognition process may be tuned utilizing the information and the transcriptions.

Abstract: A system, method and computer program product are afforded for providing a transcription graphical user interface. Initially, an utterance icon is displayed for prompting the emission of an utterance via a speaker upon the selection thereof. Further, a transcription field is depicted for allowing entry of a transcription of the utterance utilizing a keyboard. In use, the present transcription graphical user interface is displayed using hypertext markup language (HTML).

Abstract: A system, method and computer program product are provided for recognizing utterances. Initially, an utterance is recognized. Thereafter, it is determined whether the utterance can be recognized utilizing speech recognition. If the utterance can not be recognized utilizing speech recognition, spelling recognition is used to recognize the utterance.

Abstract: A system, method and computer program product are provided for genre-based speech recognition. Initially, utterances are received from a user. Thereafter, a genre associated with the user is determined based on information independent from the utterances of the user. At least one acoustic model and/or grammar may then be selected based on the genre determination. Accordingly, the utterances may be recognized utilizing the selected acoustic model(s) and/or grammar(s) for the purpose of providing a service to the user.

Abstract: A system, method and computer program product are provided for collecting data for use during speech recognition tuning. Initially, utterances are received from a user utilizing a network. Thereafter, it is determined whether the utterances meet predetermined criteria. Then, if the utterances meet the predetermined criteria, the utterances from the user are stored in memory. Such stored utterances may then be used during speech recognition tuning.

Abstract: A system, method and computer program product are provided for verifying utterances in a database. Initially, a plurality of utterances are stored in a database each in a separate file. Next, a transcription associated with each of the utterances is identified. The utterance in each file is subsequently recognized utilizing speech recognition. The utterances in the database are then verified utilizing an output of the speech recognition step and the transcription associated with the utterance in each file.

Abstract: A system, method and computer program product are provided for speech recognition using heterogeneous protocols. Initially, a plurality of grammars are maintained in databases of different types. During use, the grammars are dynamically retrieved utilizing protocols based on the type of the database.

Abstract: A system, method and computer program product are afforded for providing a transcription graphical user interface. Initially, an utterance icon is displayed for prompting the emission of an utterance via a speaker upon the selection thereof. Further, a transcription field is depicted for allowing entry of a transcription of the utterance utilizing a keyboard. In use, the present transcription graphical user interface is displayed using hypertext markup language (HTML).

Abstract: A system, method and computer program product are provided for tuning a speech recognition process. Initially, a database of utterances is maintained. Thereafter, information associated with the utterances is collected utilizing a speech recognition process. Further, the utterances in the database are transmitted to a plurality of users utilizing a network. As such, transcriptions of the utterances in the database may be received from the users utilizing the network. In use, the speech recognition process may be tuned utilizing the information and the transcriptions.

Abstract: A system, method and computer program product are provided for building a database of street names for speech recognition purposes. Initially, a first database is queried for a plurality of city names and associated zip codes. Thereafter, a second database is queried for a plurality of street names based on the query of the first database. In operation, the street names are utilized for speech recognition purposes.

Abstract: A system, method and computer program product are provided for speech recognition. During operation, a database of words are maintained. Initially, a probability is assigned to each of the words which indicates a prevalency of use of the word. Further, an utterance is received for speech recognition purposes. Such utterance is matched with one of the words in the database based on least in part on the probability.

Abstract: A system, method and computer program product are provided for recognizing utterances. Initially, an utterance is received including at least two components. Matches are identified between each of the components of the utterance and grammars. Each instance of a match of a first one of the components is then combined with each instance of a match of a second one of the components to generate a plurality of grammar expressions. In operation, the received utterance is recognized utilizing the grammar expressions.

Abstract: A system, method and computer program product are provided for recognizing utterances. Initially, an utterance is received including at least two components. Matches are identified between each of the components of the utterance and grammars. Each instance of a match of a first one of the components is then combined with each instance of a match of a second one of the components to generate a plurality of grammar expressions. In operation, the received utterance is recognized utilizing the grammar expressions.