Abstract: A system and method provide in-line server health checks to determine server health without having to wait for a next out-of-band polling interval as with conventional methods. By determining server health directly resulting from TCP and HTTP client requests, multiple connection retries on an unavailable server are prevented. The method for providing server health checking of a server in a network includes activating an in-line server health checking mechanism by monitoring a data path of a server as to health status. Results from the health status analysis are ultimately reported to an authority on server health.

Abstract: A method and apparatus provide a video image of facial features synchronized with synthetic speech. Text input is transformed into a string of phonemes and timing data, which are transmitted to an image generation unit. At the same time, a string of synthetic speech samples is transmitted to an audio server. The audio server produces signals for an audio speaker, causing the audio signals to be continuously audibilized; additionally, the audio server initializes a timer. The image generation unit reads the timing data from the timer and, by consulting the phoneme and timing data, determines the position of the phoneme currently being audibilized. The image generation unit then calculates the facial configuration corresponding to the position in the string of phonemes, calculates the facial configuration, and causes the facial configuration to be displayed on a video device.

Abstract: An apparatus and method for correctly pronouncing proper names from text using a computer provides a dictionary which performs an initial search for the name. If the name is not in the dictionary, it is sent to a filter which either positively identifies a single language group or eliminates one or more language groups as the language group of origin for that word. When the filter cannot positively identify the language group of origin for the name, a list of possible language groups is sent to a grapheme analyzer which precedes a trigram analyzer. Using grapheme analysis, the most probable language group of origin for the name is determined and sent to a language-sensitive letter-to-sound section. In this section, the name is compared with language-sensitive rules to provide accurate phonemics and stress information for the name. The phonemics (including stress information) are sent to a voice realization unit for audio output of the name.