Abstract: A method is proposed for encoding at least two signals. The method includes mixing the at least two signals in a mixture; sampling a map Z representative of locations of the at least two signals in a time-frequency plane at sampling locations, the sampling delivering a first list of values Z?; and transmitting the mixture of the at least two signals and information representative of the first list of values Z?. The disclosure also relates to the corresponding method for separating signals in a mixture, and corresponding computer program products, devices and bitstream.

Abstract: This method for synchronizing a first multimedia stream rendered on a first terminal and a second multimedia stream rendered on a second terminal, comprises a step of generation, from an original audio sequence of the first stream, of original audio fingerprints, and further comprises steps of: a) generation from a first sequence of the first stream first audio fingerprints; b) comparison between the first fingerprints and the original fingerprints in order to obtain one or more first synchronization positions; c) correlation of the first sequence with one or more pieces of the original sequence located around the first synchronization positions in order to obtain a second synchronization position; d) rendering of the second stream on the second terminal using the second synchronization position.

Abstract: A method and an apparatus for separating speech data from background data in an audio communication are suggested. The method comprises: applying a speech model to the audio communication for separating the speech data from the background data of the audio communication; and updating the speech model as a function of the speech data and the background data during the audio communication.

Abstract: A recording is usually a mixture of signals from several sound sources. The directions of the dominant sources in the recording may be known or determined using a source localization algorithm. To isolate or focus on a target source, multiple beamformers may be used. In one embodiment, each beamformer points to a direction of a dominant source and the outputs from the beamformers are processed to focus on the target source. Depending on whether the beamformer pointing to the target source has an output that is larger than the outputs of other beamformers, a reference signal or a scaled output of the beamformer pointing to the target source can be used to determine the signal corresponding to the target source. The scaling factor may depend on a ratio of the output of the beamformer pointing to the target source and the maximum value of the outputs of the other beamformers.

Abstract: Separation of speech and background from an audio mixture by using a speech example, generated from a source associated with a speech component in the audio mixture, to guide the separation process.

Abstract: A method and apparatus for processing audio content is described. The method and apparatus include receiving (510) audio content, the audio content including an input audio signal, a first reference audio signal, and a second reference audio signal, determining (550) a processing function for the input audio signal, the processing function determined based on a cost function between the input audio signal, the first reference audio signal and a second reference audio signal, and processing (560) the input audio signal using the determined processing function in order to produce an output audio signal.

Abstract: A plenoptic camera and associated method is provided. The camera has an array of sensors for generating digital images. The images have associated audio signals. The array of sensors are configured to capture digital images associated with a default spatial coordinate and are also configured to receive control input from a processor to change focus from said default spatial coordinate to a new spatial coordinate based on occurrence of an event at said new spatial coordinate.

Abstract: A method and a system (20) of audio source separation are described. The method comprises: receiving (10) an audio mixture and at least one text query associated to the audio mixture; retrieving (11) at least one audio sample from an auxiliary audio database; evaluating (12) the retrieved audio samples; and separating (13) the audio mixture into a plurality of audio sources using the audio samples. The corresponding system (20) comprises a receiving (21) and a processor (22) configured to implement the method.

Abstract: Isolation of an active participant in a group of participants commences by first capturing images and audio of participants. Thereafter, an active one of the participants in the group of participants (e.g., a participant that is currently speaking) is identified. After identification of the active participant, at least one of participants' images and participants' audio are rendered to isolate the active participant.

Abstract: Methods and apparatus for generating a fingerprint of an audio signal are disclosed. The method comprises: detecting peaks in a representation of a temporal spectrum of frequencies of the audio signal, a peak being defined as a point in the representation which has a higher energy than its neighboring points; and generating the fingerprint of the audio signal as a function of a distribution of positions of the detected peaks along a frequency axis and a distribution of positions of the detected peaks along a time axis. The fingerprint of the disclosure is not only robust to many types of noise, but also robust against time scale modification and frequency shifting.

Abstract: Separation of a singing voice source from an audio mixture by using auxiliary information related to temporal activity of the different audio sources to improve the separation process. An audio signal is produced from symbolic digital musical score and symbolic digital lyrics information related to a singing voice in the audio mixture. By means of Non-negative Matrix Factorization (NMF), characteristics of the audio mixture and of the produced audio signal are used to produce an estimated singing voice and an estimated accompaniment through Wiener filtering.

Abstract: This method for synchronizing two versions of a multimedia content, each version comprising a plurality of video frames, comprises steps of: a) extracting audio fingerprints from each version of the multimedia content; b) determining at least two temporal matching periods between both versions using the extracted audio fingerprints; c) mapping the video frames of both versions using the determined temporal matching periods.

Abstract: This method for synchronizing a first multimedia stream rendered on a first terminal and a second multimedia stream rendered on a second terminal, comprises a step of generation, from an original audio sequence of the first stream, of original audio fingerprints, and further comprises steps of : a) generation from a first sequence of the first stream first audio fingerprints; b) comparison between the first fingerprints and the original fingerprints in order to obtain one or more first synchronization positions; c) correlation of the first sequence with one or more pieces of the original sequence located around the first synchronization positions in order to obtain a second synchronization position d) rendering of the second stream on the second terminal using the second synchronization position.