Abstract: A method of user speed estimation in a mobile network (200) is provided. The method involves collecting (210) all events from the network (200) during a time period, grouping (21) all the network events associated with the same user and sorting them by their timestamps, obtaining data of location and coverage area of the cell associated with each event (210), computing a trajectory that minimizes speed for all events by estimating initial locations (22) of the user, per event, using a spatial model (23) based on the obtained data of location (220) and coverage of all the cells associated with the grouped network events, updating the estimated positions to compute a path (24) that minimizes speed at every time, via an iterative process where positions are recomputed while the change in the estimated position exceeds a threshold (25), and estimating (26) a lower bound speed of the user, per event, by computing a function of the updated estimated locations and the timestamps of each event.

Abstract: The invention relates to a method for speech signal analysis, modification and synthesis comprising a phase for the location of analysis windows by means of an iterative process for the determination of the phase of the first sinusoidal component and comparison between the phase value of said component and a predetermined value, a phase for the selection of analysis frames corresponding to an allophone and readjustment of the duration and the fundamental frequency according to certain thresholds and a phase for the generation of synthetic speech from synthesis frames taking the information of the closest analysis frame as spectral information of the synthesis frame and taking as many synthesis frames as periods that the synthetic signal has. The method allows a coherent location of the analysis windows within the periods of the signal and the exact generation of the synthesis instants in a manner synchronous with the fundamental period.

Abstract: It comprises analyzing audio content of multimedia files and performing a speech to text transcription thereof automatically by means of an ASR process, and selecting acoustic and language models adapted for the ASR process at least before the latter processes the multimedia file, i.e. “a priori”. The method is particularly applicable to the automatic indexing, aggregation and clustering of news from different sources and from different types of files, including text, audio and audiovisual documents without any manual annotation.

Abstract: The invention relates to a method for speech signal analysis, modification and synthesis comprising a phase for the location of analysis windows by means of an iterative process for the determination of the phase of the first sinusoidal component and comparison between the phase value of said component and a predetermined value, a phase for the selection of analysis frames corresponding to an allophone and readjustment of the duration and the fundamental frequency according to certain thresholds and a phase for the generation of synthetic speech from synthesis frames taking the information of the closest analysis frame as spectral information of the synthesis frame and taking as many synthesis frames as periods that the synthetic signal has. The method allows a coherent location of the analysis windows within the periods of the signal and the exact generation of the synthesis instants in a manner synchronous with the fundamental period.

Abstract: It comprises analyzing audio content of multimedia files and performing a speech to text transcription thereof automatically by means of an ASR process, and selecting acoustic and language models adapted for the ASR process at least before the latter processes the multimedia file, i.e. “a priori”. The method is particularly applicable to the automatic indexing, aggregation and clustering of news from different sources and from different types of files, including text, audio and audiovisual documents without any manual annotation.