Abstract: The invention relates to a semantic data acquisition, storage and presentation system comprising SentenceClasses wherein SentenceClasses comprise SentenceClassLabels and SentenceClassData, each such label in the form of a RelationalPhrase or an alias thereof, and data, for each class, organized in conformance with the class-defining relation, as expressed in the form of the RelationalPhrase. Instantiation of SentenceClasses, by replacing substitution variables in RelationalPhrases with associated items of SentenceClassData, produces Sentences that provides context to the instantiated items. The system of the invention also comprises methods and processes including for: acquiring, transforming and recording data; operating on SentenceClasses including forming new SentenceClasses; and instantiating, rendering and presenting Sentences in human or machine-readable format.

Abstract: The invention relates to a semantic data acquisition, storage and presentation system comprising SentenceClasses wherein SentenceClasses comprise SentenceClassLabels and SentenceClassData, each such label in the form of a RelationalPhrase or an alias thereof, and data, for each class, organized in conformance with the class-defining relation, as expressed in the form of the RelationalPhrase. Instantiation of SentenceClasses, by replacing substitution variables in RelationalPhrases with associated items of SentenceClassData, produces Sentences that provides context to the instantiated items. The system of the invention also comprises methods and processes including for: acquiring, transforming and recording data; operating on SentenceClasses including forming new SentenceClasses; and instantiating, rendering and presenting Sentences in human or machine-readable format.

Abstract: The invention relates to a semantic data acquisition, storage and presentation system comprising SentenceClasses wherein SentenceClasses comprise SentenceClassLabels and SentenceClassData, each such label in the form of a RelationalPhrase or an alias thereof, and data, for each class, organized in conformance with the class-defining relation, as expressed in the form of the RelationalPhrase. Instantiation of SentenceClasses, by replacing substitution variables in RelationalPhrases with associated items of SentenceClassData, produces Sentences that provides context to the instantiated items. The system of the invention also comprises methods and processes including for: acquiring, transforming and recording data; operating on SentenceClasses including forming new SentenceClasses; and instantiating, rendering and presenting Sentences in human or machine-readable format.

Abstract: A voice converting apparatus is constructed for converting an input voice into an output voice according to a target voice. The apparatus includes a storage section, an analyzing section including a characteristic analyzer, a producing section, a synthesizing section, a memory, an alignment processor, and target decoder.

Abstract: Systems and methods for determining similarity between two or more audio pieces are disclosed. An illustrative method for determining musical similarities includes extracting one or more descriptors from each audio piece, generating a vector for each of the audio pieces, extracting one or more audio features from each of the audio pieces, calculating values for each audio feature, calculating a distance between a vector containing the normalized values and the vectors containing the audio pieces, and outputting a response to a user or process indicating the similarity between the audio pieces. The descriptors can be used in performing content-based audio classification and for determining similarities between music. The descriptors that can be extracted from each audio piece can include tonal descriptors, dissonance descriptors, rhythm descriptors, and spatial descriptors.

Abstract: A voice converting apparatus is constructed for converting an input voice into an output voice according to a target voice. In the apparatus, a storage section provisionally stores source data, which is associated to and extracted from the target voice. An analyzing section analyzes the input voice to extract therefrom a series of input data frames representing the input voice. A producing section produces a series of target data frames representing the target voice based on the source data, while aligning the target data frames with the input data frames to secure synchronization between the target data frames and the input data frames. A synthesizing section synthesizes the output voice according to the target data frames and the input data frames. In the recognizing feature analysis, a characteristic analyzer extracts from the input voice a characteristic vector. A memory memorizes target behavior data representing a behavior of the target voice.

Abstract: A voice converting apparatus is constructed for converting an input voice into an output voice according to a target voice. In the apparatus, a storage section provisionally stores source data, which is associated to and extracted from the target voice. An analyzing section analyzes the input voice to extract therefrom a series of input data frames representing the input voice. A producing section produces a series of target data frames representing the target voice based on the source data, while aligning the target data frames with the input data frames to secure synchronization between the target data frames and the input data frames. A synthesizing section synthesizes the output voice according to the target data frames and the input data frames.