Abstract: A method for mood detection, comprising receiving audio data, determining a mood for the audio data based on at least one mood model, receiving user feedback of a user for the determined mood, the user feedback being on a gradual scale and indicative as to whether the determined mood corresponds to a perceived mood of the user for the audio data, and adapting the mood model based on the user feedback.

Abstract: A method for identifying a chemical substance from a set of output states provided by a chemical sensor array being exposed to the chemical substance, the method including: selecting, with an evaluation circuit, from a set of class descriptions for different chemical substances a first class description and one or more further class descriptions, wherein the first class description is related to a first chemical substance and a further class description is related to a further chemical substance; and estimating, with one or more estimating units, a first likelihood value and one or more further likelihood values, wherein the first likelihood value represents a probability that the set of output states corresponds to the first class description, and a respective further likelihood value represents a probability that the set of output states corresponds to a respective further class description.

Abstract: Method for deriving at least one animation parameter from audio data, said animation parameters being descriptive of the mood of said audio data, comprising the following steps: determining a current mood model for said audio data; calculating at least one distance measure for at least one reference mood model, wherein said distance measure represents the distance between said current mood model and the respective reference mood model; setting of at least one animation parameter depending on said distance measure.

Abstract: The present disclosure is generally directed to solar distillation methods and systems for recovering potable water from non-potable water. In certain embodiments, a process for water distillation includes a cycled arrangement, alternating between a day cycle and a night cycle to enhance the yield of potable water. Additionally, in certain embodiments, the system includes a solar still having a design and orientation to maximize solar energy capture.

Abstract: Method for providing an overview of pieces of music, comprising: providing at least two pieces of music; determining at least two sections of said pieces of music, wherein one of said sections is determined from one of said pieces of music and another of said sections is determined from another of said pieces of music; and arranging said sections in a sequence.

Abstract: A method for classifying music includes providing music classification data, providing an unclassified piece of music to be classified, and deriving for each music class within the music classification data a respective Gish distance value. A finite set of a finite number of Gish distance values is descriptive for the relation of the unclassified piece of music to be classified with respect to a discrete and finite set of a finite number of music classes. Alternatively, for a given piece of music to be classified, music classification data of a n-tuple of at least three numbers are obtained, which are representative for the mood of the piece of music. From the n-tuple of numbers of the music classification data a pair of two dimensional coordinate values are determined, which are representative for the mood of the piece of music.

Abstract: Embodiments of the invention relate to a method for video retrieval by providing a first audio video file, determining a first identifier of a first piece of music in the first audio video file, looking up for the first identifier first meta data in a music database, in which said first meta data are associated with said first identifier, providing second meta data of a second piece of music from the music database. The second piece of music is included in a second audio video file. Further the method is conducted by determining a similarity measure by comparing the first and second meta data, and providing the second audio video file or an identifier thereof depending on the similarity measure. Further embodiments relate to a server, a user device and a system and a computer program product for video retrieval.

Abstract: The method of operating a man-machine interface unit includes classifying at least one utterance of a speaker to be of a first type or of a second type. If the utterance is classified to be of the first type, the utterance belongs to a known speaker of a speaker data base, and if the utterance is classified to be of the second type, the utterance belongs to an unknown speaker that is not included in the speaker data base. The method also includes storing a set of utterances of the second type, clustering the set of utterances into clusters, wherein each cluster comprises utterances having similar features, and automatically adding a new speaker to the speaker data base based on utterances of one of the clusters.

Abstract: To detect and determine a current emotional state (CES) of a human being from a spoken speech input (SI), it is suggested in a method for detecting emotions to identify first and second feature classes (A, E) with, in particular distinct, dimensions of an underlying emotional manifold (EM) or emotional space (ES) and/or with subspaces thereof.

Abstract: A system and method for an automatic set-up of speech recognition engines may include a speech recognizer configured to perform speech recognition procedures to identify input speech data according to one or more operating parameters. A merit manager may be utilized to automatically calculate merit values corresponding to the foregoing recognition procedures. These merit values may incorporate recognition accuracy information, recognition speed information, and a user-specified weighting factor that shifts the relative effect of the recognition accuracy information and the recognition speed information on the merit values. The merit manager may then automatically perform a merit value optimization procedure to select operating parameters that correspond to an optimal one of the merit values.

Abstract: A method for recommending content items of a content item data base to a user, including: broadcasting user group characteristics, wherein a respective user group characteristic is descriptive of a respective user group; receiving at a user's location the user group characteristics; assigning at the user's location the user to at least one of the user groups, providing user group preference data, the user group preference data being descriptive of a relation between the user groups and the content items; and recommending content items according to the user group preference data.

Abstract: To improve the performance and the recognition rate of a method for recognizing speech in a dialogue system, or the like, it is suggested to derive emotion information data (EID) from speech input (SI) being descriptive for an emotional state of a speaker or a change thereof based upon which a process of recognition is chosen and/or designed.

Abstract: An audio data segmentation apparatus for segmenting of audio data including for supplying audio data, dividing the audio data supplied into audio clips of a predetermined length, discriminating the audio clips into predetermined audio classes, the audio classes identifying a kind of audio data included in the respective audio clip and segmenting for segmenting the audio data into audio meta patterns based on a sequence of audio classes of consecutive audio clips, each meta pattern being allocated to a predetermined type of contents of the audio data. It is difficult to achieve good results with known methods for segmentation of audio data into meta patterns since the rules for the allocation of the meta patterns are dissatisfying.

Abstract: A Method for graphically displaying pieces of music on a screen, comprising: providing a plurality of pieces of music, each piece of music having a music attribute; calculating a mapping function that maps values of said music attribute to coordinate values of a dimension of said screen; determining, for each of said pieces of music, a respective coordinate value based on said mapping function and a respective value of a respective music attribute; displaying on said screen a graphical symbol representing a respective piece of music at said respective coordinate value of said dimension.

Abstract: A method for determining a point in time within an audio signal, the audio signal having been transmitted from a broadcast station to a client and to a server, the method including: deriving, at the server, first signature data from the audio signal, wherein a reference point in time is associated with the beginning or end of the audio data corresponding to the first signature data; deriving, at the client, second signature data from the audio signal, wherein the second signature data are derived in the same manner as the first signature data at the server; comparing the first and second signature data; and determining the point in time to be equal to the reference point in time depending on a result of the comparing.

Abstract: A method for image projection on a screen, including providing an image to be projected on the screen, determining excitation light representing the image, and illuminating with the excitation light at least one light excitable layer disposed on the screen, wherein the light excitable layer is configured to be stimulated for the emission of visible light based on the excitation light.

Abstract: A method for analyzing audio data (AD) is provided wherein a signature (SAD) is generated based on a feature set (FS) comprising a plurality of time domain related features (TDFk). The signature (SAD) is formed in order to represent a plurality of temporal positions or ranges of a plurality of characteristics of time domain related features (TDFk) within said audio data (AD).

Abstract: The present invention provides a method for operating and/or for controlling a man-machine interface unit (MMI) for a finite user group environment. Utterances out of a group of user are repeatedly received. A process of user identification is carried out based on said received utterances. The process of user identification comprises a set of clustering so as to enable an enrolment-free performance.

Abstract: A user profile and/or the suggestions computed based thereon are obtained taking a special set of user features into account. The user features are defined to represent a typical general behaviour of an individual user in respect to the application where the user profile is used. In other words, for each application where a user profile is used a special set of user features are defined which are able to represent a typical general behaviour of an individual user. Based on these user features the weights in the list of word-weight pairs or weighted keywords which represents the user profile are computed or influenced during the creation of the user profile, and/or a mufti-user profile is split during the creation of an individual user profile from a mufti-user profile, and/or during specification of a suggestion a user history which is used to create the user profile, and/or the user profile, and/or the suggestion results are filtered.

Abstract: A method to determine a subgroup of users out of a group of users, comprising providing user profiles for each user of said group of users; providing real-time data of users of said group of users; determining said subgroup of users depending on said user profiles and said real-time data.