Abstract: Methods and systems of performing user input recognition are disclosed. A digital directory comprising listings is accessed. Metadata information is associated with individual listings describing the individual listings. The metadata information is modified to generate transformed metadata information. Therefore, the transformed metadata information is generated as a function of context information relating to a typical user interaction with the listings. Information is generated for aiding in an automated user input recognition process based on the transformed metadata information.

Abstract: Methods and systems of performing user input recognition. A digital directory comprising listings is accessed. Metadata information is associated with individual listings describing the individual listings. The metadata information is modified to generate transformed metadata information. Therefore, the transformed metadata information is generated as a function of context information relating to a typical user interaction with the listings. Information is generated for aiding in an automated user input recognition process based on the transformed metadata information.

Abstract: Systems and methods for text-based search query facilitated speech recognition are disclosed. In one aspect of the present disclosure, a number of text-based search queries (e.g., search terms) are identified and logged such that variations (e.g., reference variations) of such search terms can be created. Reference variations of a search term refer generally to a broad set of analogous or related words or concepts. In a further aspect of the present disclosure, multiple search results are presented in response to a text-based search query (e.g., search term). The search results presented in response to the query are recorded and stored. In most instances, the search results presented to text-based search queries can be created as reference variations for the search term.

Abstract: Described is a method of storing a characteristic of an utterance to be received by a speech recognition engine, receiving the utterance from a user, the utterance being received in response to a prompt of an automated conversation, analyzing the received utterance to determine if the utterance conforms to the characteristic and indicating to the user that the utterance conformed to the characteristic.

Abstract: Described is a method of handling automated conversations by categorizing a plurality of events which occur during automated conversations based on an impact of the events on a level of user satisfaction with the automated conversations, assigning to each category of events a quality score corresponding to the impact on user satisfaction of the events in each category and initiating a conversation handling action for one of the conversations based on the categories of events detected during the one of the conversations.

Abstract: An iterative process is provided for interacting with a voice information service. Such a service may permit, for example, a user to search one or more databases and may provide one or more search results to the user. Such a service may be suitable, for example, for searching for a desired entity or object within the database(s) using speech as an input and navigational tool. Applications of such a service may include, for instance, speech-enabled searching services such as a directory assistance service or any other service or application involving a search of information. In one example implementation, an automatic speech recognition (ASR) system is provided that performs a speech recognition and database search in an iterative fashion. With each iteration, feedback may be provided to the user presenting potentially relevant results. In one specific ASR system, a user desiring to locate information relating to a particular entity or object provides an utterance to the ASR.