Abstract: A system is provided for recognizing speech for searching a database. The system receives speech input as a spoken search request and then processes the speech input in a speech recognition step using a vocabulary for recognizing the spoken request. By processing the speech input words recognized in the speech input and included in the vocabulary are obtained to form at least one hypothesis. The hypothesis is then utilized to search a database using the at least one hypothesis as a search query. A search result is then received from the database and provided to the user.

Abstract: A speech recognition system is provided for selecting, via a speech input, an item from a list of items. The speech recognition system detects a first speech input, recognizes the first speech input, compares the recognized first speech input with the list of items and generates a first candidate list of best matching items based on the comparison result. The system then informs the speaker of at least one of the best matching items of the first candidate list for a selection of an item by the speaker. If the intended item is not one of the best matching items presented to the speaker, the system then detects a second speech input, recognizes the second speech input, and generates a second candidate list of best matching items taking into account the comparison result obtained with the first speech input.

Abstract: An interactive speech recognition system includes a database containing a plurality of reference terms, a list memory that receives the reference terms of category “n,” a processing circuit that populates the list memory with the reference terms corresponding to the category “n,” and a recognition circuit that processes the reference terms and terms of a spoken phrase. The recognition circuit determines if a reference term of category “n” matches a term of the spoken phrase.

Abstract: A multi-stage speech recognition system includes an audio transducer that detects a speech signal, and a sampling circuit that converts the transducer output into a digital speech signal. A spectral analysis circuit identifies a portion of the speech signal corresponding to a first class and a second class. The system includes memory storage or a database having a first and a second vocabulary list. A recognition circuit recognizes the first class based on the first vocabulary list to obtain a first recognition result. A matching circuit restricts a vocabulary list based on the first recognition result, and a recognizing circuit recognizes the second class based on the restricted vocabulary list, to obtain a second recognition result.

Abstract: A speech dialog system interfaces a user to a computer. The system includes a signal pre-processor that processes a speech input to generate an enhanced signal and an analysis signal. A speech recognition unit may generate a recognition result based on the enhanced signal. A control unit may manage an output unit or an external device based on the information within the analysis signal.

Abstract: A method of correcting picture steadiness errors (or film weave correction) in telecine scanning is proposed, in which, in a first step, at least one sample area of the picture contents of the video signal obtained by film scanning is determined by way of structure recognition, this sample area corresponding to a curvature in the picture contents. In a second step, it is checked, by way of comparison, whether the determined sample areas are recognizable in a search area of the sequential frame. In a third step, motion vector signals are generated when the sample areas are recognized again in the sequential frame, these motion vector signals defining the direction of motion and the extent of deviation of the position of the determined sample area from the position of the recognized sample area. In a fourth step, parameters of a transform function are determined by the motion vector signals.

Abstract: A method of synchronizing digital data which includes periodic synchronization sequences. The first step in the method comprises determining the number of bit errors in relation to an ideal bit sequence in the synchronization sequence. A next step comprises using twice the chronological filtration from the resulting bit-error values to determine the timing of a synchronization sequence recognized in the digital data, allowing the data to be assembled block by block.