Abstract: A method for recognizing a keyword from a spoken utterance is based on at least one keyword model and a plurality of garbage models. Then a part of the spoken utterance is assessed as the keyword to be recognized, if that part matches best either to the keyword model or to a garbage sequence model. Here, the garbage sequence model is a series of consecutive garbage models from that plurality of garbage models.

Abstract: The invention relates to a method for generating an adapted reference for automatic speech recognition. In a first step, recognition is performed based on a spoken utterance and a recognition result which corresponds to a currently valid reference is obtained. In a second step, the currently valid reference is adapted in accordance with the utterance in order to create an adapted reference. In a third step, the adapted reference is assessed and it is decided if the adapted reference is used for further recognition.

Abstract: Acoustic models for speech recognition are automatically generated utilizing trained acoustic models from a native language and a foreign language. A phoneme-to-phoneme mapping is utilized to enable the description of foreign language words with native language phonemes. The phoneme-to-phoneme mapping is used for training foreign language words, described by native language phonemes on foreign language speech material. A new phonetic lexicon is created containing foreign language words and native language words transcribed by native language phonemes. Robust native language acoustic models can be derived utilizing foreign language and native language training material. The mapping may be used for training a grapheme to phoneme transducer (i.e., foreign language to native language) to generate native language pronunciations for new foreign language words.

Abstract: A mobile terminal (100) controllable by spoken utterances like proper names or keywords is described. The mobile terminal (100) comprises an interface (200) for receiving voice prompts, a model generator (430) for generating acoustic models based on the received voice prompts, and an automatic speech recognizer (110) for recognizing the spoken utterances based on the generated acoustic models.

Abstract: The invention relates to a method for generating an adapted reference for automatic speech recognition. In a first step, recognition is performed based on a spoken utterance and a recognition result which corresponds to a currently valid reference is obtained. In a second step, the currently valid reference is adapted in accordance with the utterance in order to create an adapted reference. In a third step, the adapted reference is assessed and it is decided if the adapted reference is used for further recognition.

Abstract: A method for analyzing a spoken sequence of numbers recognized by automatic speech recognition comprises determining the speaking pause length between two consecutive numbers and deciding if the two consecutive numbers belong to a single numerical value on the basis of the determined pause length. A device for analyzing a spoken sequence of numbers comprises an automatic speech recognizer, a unit for determining the pause length between two consecutive numbers and a processing unit for deciding if the two consecutive numbers belong to a single numerical value on the basis of the determined pause length.