Abstract: The invention provides a method, an apparatus and a network for negotiating MIP capability in a network, including: negotiating the MIP capability through an Authentication and Authorization process and/or an above-physical layer capability negotiation process, to obtain service information that can be provided by the network. With the invention, the network is allowed to choose whether to provide MIP service and relevant service.

Abstract: An apparatus and method that integrates both phrase-based and free-form speech-to-speech translation approaches using probability models. The starting step of the method is to receive vocal communication in a source language. Then store the received vocal communication. Then decipher the content of the vocal communication. Then locate in a multilingual dictionary module the corresponding translation of the deciphered vocal communication provided a preset sentence exists in a speech recognition module for the vocal communication. Then translate the vocal communication into the target language provided there is no corresponding translation located in the multilingual dictionary module. Then synthesize the translated target language when there is no corresponding translation for the vocal communication in the multilingual dictionary module. Then store the sound of the translated target language. Then play the sound of the translated target language.

Abstract: The present invention discloses a method for processing dynamic service flows, wherein the UE sends a dynamic service flow processing request carrying a processing indication; and the network side executes a resource processing process and an air interface acknowledgement process. The resource processing process is: The SFM entity sends a resource processing request to the H-PF server through an anchor SFA entity according to the received dynamic service flow processing request, with the request carrying the parameters related to the resource processing request; the H-PF server sends the result of resource processing performed by each node in the network according to the resource requirements to the SFM through a resource processing response. The air interface acknowledgement process is: The SFM returns a service flow processing response to the UE; after receiving the response, the UE saves the relevant parameters, and returns an acknowledgement to the SFM.

Abstract: Techniques for employing improved prompts in a speech-to-speech translation system are disclosed. By way of example, a technique for use in indicating a dialogue turn in an automated speech-to-speech translation system comprises the following steps/operations. One or more text-based scripts are obtained. The one or more text-based scripts are synthesizable into one or more voice prompts. At least one of the one or more voice prompts is synthesized for playback from at least one of the one or more text-based scripts, the at least one synthesized voice prompt comprising an audible message in a language understandable to a speaker interacting with the speech-to-speech translation system, the audible message indicating a dialogue turn in the automated speech-to-speech translation system.

Abstract: Pitch estimation and classification into voiced, unvoiced and transitional speech were performed by a spectro-temporal auto-correlation technique. A peak picking formula was then employed. A weighing function was then applied to the power spectrum. The harmonics weighted power spectrum underwent mel-scaled band-pass filtering, and the log-energy of the filter's output was discrete cosine transformed to produce cepstral coefficients. A within-filter cubic-root amplitude compression was applied to reduce amplitude variation without compromise of the gain invariance properties.

Abstract: Techniques for adapting a virtual keyboard for multilingual input are disclosed. By way of example, a method of adapting a virtual keyboard for multilingual input includes the steps of detecting an input language and displaying a virtual keyboard corresponding to the input language upon detection of the input language. The identifying step may include automatic identification of an input language, such as by one or more language recognition modules, or it may include manual selection of an input language and activation of at least one language recognition module operative to recognize at least the input language upon selection of the input language.

Abstract: Techniques for enhanced linguistic transformation are disclosed. For example, a method of linguistic transformation includes the steps of providing at least one input to a plurality of modules, wherein at least one module has a different configuration than at least another module, obtaining at least one output from each of at least a subset of the plurality of modules, and generating a set of distinct outputs. The input and the output include linguistic representations and at least a portion of the output is a result of applying one or more linguistic transformations to at least a portion of the input. Techniques for displaying a plurality of results so as to emphasize component-level differences are also disclosed.

Abstract: A technique for context adaptation of a speech-to-speech translation system is provided. A plurality of sets of paralinguistic attribute values is obtained from a plurality of input signals. Each set of the plurality of sets of paralinguistic attribute values is extracted from a corresponding input signal of the plurality of input signals via a corresponding classifier of a plurality of classifiers. A final set of paralinguistic attribute values is generated for the plurality of input signals from the plurality of sets of paralinguistic attribute values. Performance of at least one of a speech recognition module, a translation module and a text-to-speech module of the speech-to-speech translation system is modified in accordance with the final set of paralinguistic attribute values for the plurality of input signals.

Abstract: Pitch estimation and classification into voiced, unvoiced and transitional speech were performed by a spectro-temporal auto-correlation technique. A peak picking formula was then employed. A weighting function was then applied to the power spectrum. The harmonics weighted power spectrum underwent mel-scaled band-pass filtering, and the log-energy of the filter's output was discrete cosine transformed to produce cepstral coefficients. A within-filter cubic-root amplitude compression was applied to reduce amplitude variation without compromise of the gain invariance properties.

Abstract: An apparatus and method that integrates both phrase-based and free-form speech-to-speech translation approaches using probability models. The starting step of the method is to receive vocal communication in a source language. Then store the received vocal communication. Then decipher the content of the vocal communication. Then locate in a multilingual dictionary module the corresponding translation of the deciphered vocal communication provided a preset sentence exists in a speech recognition module for the vocal communication. Then translate the vocal communication into the target language provided there is no corresponding translation located in the multilingual dictionary module. Then synthesize the translated target language when there is no corresponding translation for the vocal communication in the multilingual dictionary module. Then store the sound of the translated target language. Then play the sound of the translated target language.

Abstract: Techniques for employing improved prompts in a speech-to-speech translation system are disclosed. By way of example, a technique for use in indicating a dialogue turn in an automated speech-to-speech translation system comprises the following steps/operations. One or more text-based scripts are obtained. The one or more text-based scripts are synthesizable into one or more voice prompts. At least one of the one or more voice prompts is synthesized for playback from at least one of the one or more text-based scripts, the at least one synthesized voice prompt comprising an audible message in a language understandable to a speaker interacting with the speech-to-speech translation system, the audible message indicating a dialogue turn in the automated speech-to-speech translation system.

Abstract: Pitch estimation and classification into voiced, unvoiced and transitional speech were performed by a spectro-temporal auto-correlation technique. A peak picking formula was then employed. A weighting function was then applied to the power spectrum. The harmonics weighted power spectrum underwent mel-scaled band-pass filtering, and the log-energy of the filter's output was discrete cosine transformed to produce cepstral coefficients. A within-filter cubic-root amplitude compression was applied to reduce amplitude variation without compromise of the gain invariance properties.

Abstract: A multimodal speech-to-speech language translation system and method for translating a natural language sentence of a source language into a symbolic representation and/or target language is provided. The system includes an input device for inputting a natural language sentence of a source language into the system; a translator for receiving the natural language sentence in machine-readable form and translating the natural language sentence into a symbolic representation and/or a target language; and an image display for displaying the symbolic representation of the natural language sentence. Additionally, the image display indicates a correlation between text of the target language, the symbolic representation and the text of the source language.

Abstract: The present invention provides methods and compositions suitable for treating oral mucositis in animals, including humans, with antimicrobial peptides such as protegrin peptides.

Abstract: The invention is directed to antimicrobial peptides related to naturally-occurring protegrin peptides, and methods of using the peptides in a variety of contexts, including the treatment or prevention of infections.

Abstract: A sampler is invented for collecting human or animal gastrointestinal fluid samples. The sampler is about the size of a medicine pill for oral administration. It has a hollow body 10, an opening 20, a seal 30, and a vacuum interior 40. When the sampler enters the gastrointestinal tract of a patient, the seal is dissolved or disabled and the surrounding fluid is sucked into the sampler by the vacuum inside. The sampler is then recovered from the patient's stool and the gastrointestinal fluid and substances within the sampler can be collected and analyzed.