Abstract: A system and method of operating an automatic speech recognition application over an Internet Protocol network is disclosed. The ASR application communicates over a packet network such as an Internet Protocol network or a wireless network. A grammar for recognizing received speech from a user over the IP network is selected from a plurality of grammars according to a user-selected application. A server receives information representing speech over the IP network, performs speech recognition using the selected grammar, and returns information based upon the recognized speech. Sub-grammars may be included within the grammar to recognize speech from sub-portions of a dialog with the user.

Abstract: A method, for determining sufficiency of a given set of portions included within a storage system (SS) to accommodate one or more flows of data anticipated as flowing therethrough, may include: configuring the given set to include at least one of following portions, a given stable of one or more providers of data-storage (PDSs), and an SS-infrastructure; identifying components within members of the given set as queuing centers according to the one or more flows, respectively; estimating one or more capacity values, based upon the one or more flows, that will be demanded of the components, respectively; and determining whether the estimated one or more capacity values are acceptable in a context of corresponding capacity values attributed to the components, respectively.

Abstract: A system and method of operating an automatic speech recognition service using a client-server architecture is used to make automatic speech recognition (ASR) and text to speech (TTS) services accessible at a client location remote from the location of the main ASR and TTS engines. The present invention utilizes client-server communications over a packet network, such as the Internet or a wireless network, where the ASR/TTS server receives a grammar from the client or selects from a locally second plurality of grammars, receives information representing speech from the client, performs speech recognition, and returns information based upon the recognized speech to the client.

Abstract: Recognizing a stream of speech received as speech vectors over a lossy communications link includes constructing for a speech recognizer a series of speech vectors from packets received over a lossy packetized transmission link, wherein some of the packets associated with each speech vector are lost or corrupted during transmission. Each constructed speech vector is multi-dimensional and includes associated features. Potentially corrupted features within the speech vector are indicated to the speech recognizer when present. Speech recognition is attempted at the speech recognizer on the speech vectors when corrupted features are present. This recognition may be based only on certain or valid features within each speech vector. Retransmission of a missing or corrupted packet is requested when corrupted values are indicated by the indicating step and when the attempted recognition step fails.

Abstract: A system and method of operating an automatic speech recognition service using a client-server architecture is used to make automatic speech recognition (ASR) and text to speech (TTS) services accessible at a client location remote from the location of the main ASR and TTS engines. The present invention utilizes client-server communications over a packet network, such as the Internet or a wireless network, where the ASR/TTS server receives a grammar from the client or selects from a locally stored plurality of grammars, receives information representing speech from the client, performs speech recognition, and returns information based upon the recognized speech to the client.

Abstract: A system and method of operating an automatic speech recognition service using a client-server architecture is used to make automatic speech recognition (ASR) and text to speech (TTS) services accessible at a client location remote from the location of the main ASR and TTS engines. The present invention utilizes client-server communications over a packet network, such as the Internet or a wireless network, where the ASR/TTS server receives a grammar from the client or selects from a locally stored plurality of grammars, receives information representing speech from the client, performs speech recognition, and returns information based upon the recognized speech to the client.

Abstract: A system and method of operating an automatic speech recognition service using a client-server architecture is used to make ASR services accessible at a client location remote from the location of the main ASR engine. The present invention utilizes client-server communications over a packet network, such as the Internet, where the ASR server receives a grammar from the client, receives information representing speech from the client, performs speech recognition, and returns information based upon the recognized speech to the client.

Abstract: A system and method of operating an automatic speech recognition service using a client-server architecture is used to make ASR services accessible at a client location remote from the location of the main ASR engine. The present invention utilizes client-server communications over a packet network, such as the Internet, where the ASR server receives a grammar from the client, receives information representing speech from the client, performs speech recognition, and returns information based upon the recognized speech to the client.

Abstract: In methods and apparatus for at least partially automating a telephone directory assistance function, directory assistance callers are prompted to speak locality or called entity names associated with desired directory listings. A speech recognition algorithm is applied to speech signals received in response to prompting to determine spoken locality or called entity names. Desired telephone numbers are released to callers, and released telephone numbers are used to confirm or correct at least some of the recognized locality or called entity names. Speech signal representations labelled with the confirmed or corrected names are used as labelled speech tokens to refine prior training of the speech recognition algorithm. The training refinement automatically adjusts for deficiencies in prior training of the speech recognition algorithm and to long term changes in the speech patterns of directory assistance callers served by a particular directory assistance installation.

Abstract: In methods and apparatus for at least partially automating a telephone directory assistance function, directory assistance callers are prompted to speak locality or called entity names associated with desired directory listings. A speech recognition algorithm is applied to speech signals received in response to prompting to determine spoken locality or called entity names. Desired telephone numbers are released to callers, and released telephone numbers are used to confirm or correct at least some of the recognized locality or called entity names. Speech signal representations labelled with the confirmed or corrected names are used as labelled speech tokens to refine prior training of the speech recognition algorithm. The training refinement automatically adjusts for deficiencies in prior training of the speech recognition algorithm and to long term changes in the speech patterns of directory assistance callers served by a particular directory assistance installation.