Abstract: An apparatus for the collection and storage of user identifiers, wherein the apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory contains instructions configuring the at least a processor to receive user identifier data, identify a plurality of user identifier labels as a function of the user identifier data, extract a plurality of content elements from the user identifier data, classify each content element to an associated user identifier label using a content element classifier, and enter the plurality of user identifier content elements and associated user identifier labels on an immutable sequential listing.

Abstract: The present invention discloses a method and an apparatus for extracting a prosodic feature of a speech signal, the method including: dividing the speech signal into speech frames; transforming the speech frames from time domain to frequency domain; and extracting respective prosodic features for different frequency ranges. According to the above technical solution of the present invention, it is possible to effectively extract the prosodic feature which can combine with a traditional acoustics feature without any obstacle.

Abstract: An emotion recognition apparatus performs accurate and stable speech-based emotion recognition, irrespective of individual, regional, and language differences of prosodic information.

Abstract: Methods are disclosed for automatic accent labeling without manually labeled data. The methods are designed to exploit accent distribution between function and content words.

Abstract: The position of a word in the lexical space is determined stably and highly accurately by arbitrarily setting a predetermined initial condition, determining the occurrence frequency and cooccurrence relationship of the word under a given condition, and minimizing the difference between the values of the occurrence frequency and cooccurrence and the initial layout values arbitrarily set.