Abstract: In a method for efficiently and accurately measuring the intelligibility of speech, a user may utter a sample text, and an automatic speech assessment (ASA) system may receive an acoustic signal encoding the utterance. An automatic speech recognition (ASR) module may generate an N-best output corresponding to the utterance and generate an intelligibility score representing the intelligibility of the utterance based on the N-best output and the sample text. Generating the intelligibility score may involve (1) calculating conditional intelligibility value(s) for the N recognition result(s), and (2) determining the intelligibility score based on the conditional intelligibility value of the most intelligible recognition result. Optionally, the process of generating the intelligibility score may involve adjusting the intelligibility score to account for environmental information (e.g., a pronunciation score for the user's speech and/or a confidence score assigned to the 1-best recognition result).

Abstract: A method for creating personalized lesson recommendations for a user is provided. In some embodiments, the method includes assigning a skill profile to the user, where the skill profile includes a skill vector associated with one or more fine-grained skills of the user. The method also includes assigning a difficulty profile to a task to be practiced by the user, where the difficulty profile includes a task difficulty vector associated with one or more fine-grained skills of the task. Further, the method include prioritizing the task within a list of recommended tasks offered to the user based on a comparison between the skill profile of the user and the difficulty profile of the task.

Abstract: A method for creating personalized lesson recommendations for a user is provided. In some embodiments, the method includes assigning a skill profile to the user, where the skill profile includes a skill vector associated with one or more fine-grained skills of the user. The method also includes assigning a difficulty profile to a task to be practiced by the user, where the difficulty profile includes a task difficulty vector associated with one or more fine-grained skills of the task. Further, the method include prioritizing the task within a list of recommended tasks offered to the user based on a comparison between the skill profile of the user and the difficulty profile of the task.

Abstract: In a method for efficiently and accurately measuring the intelligibility of speech, a user may utter a sample text, and an automatic speech assessment (ASA) system may receive an acoustic signal encoding the utterance. An automatic speech recognition (ASR) module may generate an N-best output corresponding to the utterance and generate an intelligibility score representing the intelligibility of the utterance based on the N-best output and the sample text. Generating the intelligibility score may involve (1) calculating conditional intelligibility value(s) for the N recognition result(s), and (2) determining the intelligibility score based on the conditional intelligibility value of the most intelligible recognition result. Optionally, the process of generating the intelligibility score may involve adjusting the intelligibility score to account for environmental information (e.g., a pronunciation score for the user's speech and/or a confidence score assigned to the 1-best recognition result).

Abstract: Method, system and computer program for determining matching between two time series. They use an improved algorithm partially based in Dynamic Time Warping and Information Retrieval techniques, but solving the problems (as computational complexity, memory requirements . . . ) observed in these matching techniques.

Abstract: Methods, systems, and computer program products for biometric authentication and more particularly to a method for classifying biometric data consisting in constructing, on the basis of a first universal statistical model and based on a set of first individual collections of biometric data, a second statistical model comprising a plurality of statistical sub-models and taking into consideration the biometric specificities of an individual or class of individuals, such that the first and second statistical models jointly define a highly discriminatory universal statistical model.

Abstract: It is characterised in that it comprises: a) centring a mask in a spectral peak of a plurality of spectral peaks of a spectrogram of an audio signal; b) defining spectral regions around said spectral peak by means of said mask; c) capturing average energies of each of said spectral regions; d) comparing each of said average energies between them; e) obtaining a bit for each comparison, each obtained bit indicating the result of each comparison; f) grouping each bit obtained by means of said comparison in order to constitute an audio fingerprint; and g) encoding of the encoded spectral peaks using coarse frequency bands in order to allow for fast comparison of fingerprints

Abstract: Method, system and computer program for determining matching between two time series. They use an improved algorithm partially based in Dynamic Time Warping and Information Retrieval techniques, but solving the problems (as computational complexity, memory requirements . . . ) observed in these matching techniques.

Abstract: Method, system and computer program for determining the matching between a first and a second sampled signals using an improved Dynamic Time Warping algorithm, called Unbounded DTW. It uses a dynamic programming algorithm to find exact start-end alignment points, unknown a priori, being the initial subsampling of the similarity matrix made via definition of optimal synchronization points, allowing a very fast process.

Abstract: Methods, systems, and computer program products for biometric authentication and more particularly to a method for classifying biometric data consisting in constructing, on the basis of a first universal statistical model and based on a set of first individual collections of biometric data, a second statistical model comprising a plurality of statistical sub-models and taking into consideration the biometric specificities of an individual or class of individuals, such that the first and second statistical models jointly define a highly discriminatory universal statistical model.

Abstract: Method and system of identification of at least one audiovisual advertisement in a data stream, such as a digital television broadcasting, by detecting energy drops in an audio stream of the data stream and comparing a segment of the audio stream starting at the energy drop with an audio segment of the advertisement. The comparison step requires only a few seconds of data to perform the detection. Therefore, the identification of the advertisement is provided before the end of the advertisement in the data stream.

Abstract: Method, system and computer program for real time synchronizing an audio file and a video file in a multimedia device. The present invention determines the optimum alignment path between the audio signal of the audio file and the audio track signal of the video file, starting from an initial path and performing a post-alignment processing to improve the user satisfaction when playing.

Abstract: Method, system and computer program for determining the matching between a first and a second sampled signals using an improved Dynamic Time Warping algorithm, called Unbounded DTW. It uses a dynamic programming algorithm to find exact start-end alignment points, unknown a priori, being the initial subsampling of the similarity matrix made via definition of optimal synchronization points, allowing a very fast process.

Abstract: Method and system of identification of at least one audiovisual advertisement in a data stream, such as a digital television broadcasting, by detecting energy drops in an audio stream of the data stream and comparing a segment of the audio stream starting at the energy drop with an audio segment of the advertisement. The comparison step requires only a few seconds of data to perform the detection. Therefore, the identification of the advertisement is provided before the end of the advertisement in the data stream.

Abstract: Method and system of classification of audiovisual information from a data stream by means of audio stream comparison. After detecting segments of the data stream containing advertisements, the segments are compared to a plurality of audio files stored in a database to cluster the detected advertisements. If the segment is not detected in the database it is included as a new audio file with its information in the database.

Abstract: A multilingual text-to-speech system includes a source datastore of primary source parameters providing information about a speaker of a primary language. A plurality of primary filter parameters provides information about sounds in the primary language. A plurality of secondary filter parameters provides information about sounds in a secondary language. One or more secondary filter parameters is normalized to the primary filter parameters and mapped to a primary source parameter.

Abstract: An interactive personalized robotic system for a home environment includes a home network in communication with at least one electronic device. A robot is in communication with the home network and is capable of controlling the at least one electronic device. The robot further includes a plurality of modules for personally communicating with a user. The user can control the robot and the at least one electronic device by communicating with the robot.