Abstract: Speaker-dependent speech recognition is performed upon detecting a speech signal encompassing a voice command. The speech signal is divided into time frames and characterized in each detected time frame by forming a corresponding property vector. A language-independent feature vector sequence is formed from one or several property vectors and then stored. The language-independent feature vector sequence is allocated to a language-dependent sequence of model vectors in a speech resource having a plurality of model vectors. A piece of allocation information indicating allocation of the language-independent feature vector sequence to a language-dependent sequence of model vectors is stored, then the voice command allocated to the model vector sequence is identified.

Abstract: A speech signal is processed for subsequent speech recognition. The speech signal is tainted by noise and represents at least one speech command. The following steps are executed: a) recording of the noise-tainted speech signal; b) use of noise reduction on the speech signal to generate a noise-reduced speech signal; c) normalization of the noise-reduced speech signal to a target signal value with the aid of a normalization factor, to generate a noise-reduced, normalized speech signal).

Abstract: A method reduces for noise in a speech input signal of a speaker by detecting the speech input signal; accessing a determined speech characteristic of the speaker; reducing a noise portion in the speech input signal using the determined speech characteristic of the speaker.

Abstract: Speaker-dependent speech recognition is performed upon detecting a speech signal encompassing a voice command. The speech signal is divided into time frames and characterized in each detected time frame by forming a corresponding property vector. A property vector sequence is formed from one or several property vectors and then stored. The property vector sequence is allocated to a sequence of model vectors in a speech resource having a plurality of model vectors. A piece of allocation information indicating allocation of the property vector sequence to a sequence of model vectors is stored, then the voice command allocated to the model vector sequence is identified.