Abstract: The disclosed internet/web/cloud/online hosting system is a system hosting internet sites for extended periods of time or indefinitely, thus the site surviving its creator. There may be provided a guarantee of the period of hosting. The guarantee may be based on an insurance policy from a third party, or conservative financial policy of the hosting service provider with or without a mandatory financial reserve, or other means. The information contained in an internet site can be in the form of text, audio or video signals, or of any other type. The hosting system may provide for migration of the stored information to new, yet to emerge technological platforms, if needed. The stored information may be accessible by wide public or may be made—partially or in its entirety—protected by a password or other security measures limiting access to the information to trusted recipients of the information, such as descendants or other, perhaps yet to be born, people.

Abstract: A method (20) and electronic device (1) for signal separation of mixed signals provided by sensors (11,13), the mixed signals resulting from the sensors (11,13) detecting respective mixed waveforms comprising a plurality of source waveforms originating from waveform generating sources mixed in a mixing environment (10). The method (20) and device (1), in use, provide for configuring (22) communication between a processor (3) and a plurality of the sensors (11,13) in the mixing environment (10), the configuring being effected dynamically depending upon variations in the number of sensors (11,13) in the environment. At a receiving step (23) the processor (3) receives respective mixed signals from the sensors (11,13) and a step of determining (24) un-mixing parameters for the environment based on the number of sensors (11,13) is then effected.

Abstract: A method (20) and electronic device (1) for signal separation of mixed signals provided by sensors (11,13), the mixed signals resulting from the sensors (11,13) detecting respective mixed waveforms comprising a plurality of source waveforms originating from waveform generating sources mixed in a mixing environment (10). The method (20) and device (1), in use, provide for configuring (22) communication between a processor (3) and a plurality of the sensors (11,13) in the mixing environment (10), the configuring being effected dynamically depending upon variations in the number of sensors (11,13) in the environment. At a receiving step (23) the processor (3) receives respective mixed signals from the sensors (11,13) and a step of determining (24) un-mixing parameters for the environment based on the number of sensors (11,13) is then effected.

Abstract: A voiced/unvoiced speech classifier (30) includes a speech segmentor (34) which segments an input digitized speech waveform into frames of speech and a band-pass filter (36) which filters the frames of speech. A relative energy generator (38) generates a relative energy value for each filtered frame of speech and a decision parameter generator (52) including an autocorrelation calculator (54) and a pitch calculator (56) generates a decision parameter based on an autocorrelation function and a pitch frequency index for the filtered frames of speech. A normalized energy calculator (46) adjusts the threshold and then normalizes the relative energy. A comparator (60) provides a signal indicative of whether a frame of speech is voiced speech or unvoiced speech depending on a comparison of the decision parameter and the normalized relative energy value for each filtered frame of speech.

Abstract: A method and apparatus for speech recognition involves classifying (38) a digitized speech segment according to whether the speech segment comprises voiced or unvoiced speech and utilizing that classification to generate tonal feature vectors (41) of the speech segment when the speech is voiced. The tonal feature vectors are then combined (42) with other non-tonal feature vectors (40) to provide speech feature vectors. The speech feature vectors are compared (35) with previously stored models of speech feature vectors (37) for different segments of speech to determine which previously stored model is a most likely match for the segment to be recognized.