Abstract: An apparatus and a method for acoustic scene classification of a block of audio samples are provided. The block is partitioned into frames in the time domain. For each respective frame of a plurality of frames of the block, a change measure between the respective frame and a preceding frame of the block is calculated. The respective frame is assigned, based on the calculated change measure, to one of a set of short-event frames, a set of long-event frames, and a set of background frames. The feature vector is determined based on a feature computed from one or more of the set of short-event frames, the set of long-event frames, and the set of background frames.

Abstract: An input audio signal comprises a plurality of input audio channels. A KLT-based pre-processor transforms the plurality of input audio channels into a plurality of eigenchannels and provides metadata associated with the plurality of eigenchannels. Each eigenchannel is associated with an eigenvalue and an eigenvector. The metadata allows reconstructing the plurality of input audio channels on the basis of the plurality of eigenchannels. A selector selects a subset of the plurality of eigenvectors corresponding to a plurality of selected eigenchannels on the basis of a geometric mean of the eigenvalues. An eigenchannel encoder encodes the plurality of selected eigenchannels. A metadata encoder encodes the metadata.

Abstract: An apparatus and a method for acoustic scene classification of a block of audio samples are provided. The block is partitioned into frames in the time domain. For each respective frame of a plurality of frames of the block, a change measure between the respective frame and a preceding frame of the block is calculated. The respective frame is assigned, based on the calculated change measure, to one of a set of short-event frames, a set of long-event frames, and a set of background frames. The feature vector is determined based on a feature computed from one or more of the set of short-event frames, the set of long-event frames, and the set of background frames.

Abstract: A signal processing apparatus and method are provided for separating a plurality of mixture signals from a MIMO system to iteratively obtain a plurality of output signals. The plurality of mixture signals are a response of the MIMO system to a plurality of source signals. The signal processing apparatus comprises a plurality of blind source separators including a first blind source separator based on a first blind source separation technique or algorithm and a second blind source separator based on a second blind source separation technique or algorithm, wherein the first blind source separator is configured to compute a first plurality of preliminary output signals on the basis of a first set of coefficients describing the MIMO system and wherein the second blind source separator is configured to compute a second plurality of preliminary output signals on the basis of a second set of coefficients describing the MIMO system.

Abstract: A device having an input that is configured to receive a sound signal captured from an acoustic environment where the device is located, is provided. The device also includes a signal processor that is configured to obtain a reverberation signature from the sound signal and classify the acoustic environment as being of a particular type in dependence on that reverberation signature. It also includes a controller configured to control an operation of the device in dependence on the classification of the acoustic environment. By using the reverberation signature to classify the environment, the device it is not dependent on a particular type of signal having to be present in the environment at the time when the sound signal is captured. The reverberation properties of the environment will be embodied by any sound signal captured from that environment.

Abstract: A device has an input that is configured to receive a sound signal captured from an acoustic environment in which the device is located. The device also includes a signal processor that is configured to obtain a reverberation signature from the sound signal and classify the acoustic environment as being of a particular type in dependence on that reverberation signature. It also includes a controller configured to control an operation of the device in dependence on the classification of the acoustic environment. By using the reverberation signature to classify the environment, the device it is not dependent on a particular type of signal having to be present in the environment at the time when the sound signal is captured. The reverberation properties of the environment will be embodied by any sound signal captured from that environment.

Abstract: An input audio signal comprises a plurality of input audio channels. A KLT-based pre-processor transforms the plurality of input audio channels into a plurality of eigenchannels and provides metadata associated with the plurality of eigenchannels. Each eigenchannel is associated with an eigenvalue and an eigenvector. The metadata allows reconstructing the plurality of input audio channels on the basis of the plurality of eigenchannels. A selector selects a subset of the plurality of eigenvectors corresponding to a plurality of selected eigenchannels on the basis of a geometric mean of the eigenvalues. An eigenchannel encoder encodes the plurality of selected eigenchannels. A metadata encoder encodes the metadata.

Abstract: A signal processing apparatus and method are provided for separating a plurality of mixture signals from a MIMO system to iteratively obtain a plurality of output signals. The plurality of mixture signals are a response of the MIMO system to a plurality of source signals. The signal processing apparatus comprises a plurality of blind source separators including a first blind source separator based on a first blind source separation technique or algorithm and a second blind source separator based on a second blind source separation technique or algorithm, wherein the first blind source separator is configured to compute a first plurality of preliminary output signals on the basis of a first set of coefficients describing the MIMO system and wherein the second blind source separator is configured to compute a second plurality of preliminary output signals on the basis of a second set of coefficients describing the MIMO system.

Abstract: The invention provides a method for generating an output indicative of acoustical sound transmission in a room. By using e.g. a point cloud representation of an acoustic environment, it is possible to calculate its acoustics from the interior information obtained from the depth camera. This approach is suitable e.g. for run-time applications since it is not based on an audible excitation that can disturb running audio. Also, the point-cloud model can be updated in real time according to the scene changes detected by depth-camera. This allows efficient acoustical simulation of dynamic, interactive environments. Although only geometrical information of a room is provided, high amount of surface details leaves possibility for implementation of material recognition algorithms that involve semantic mapping. This can provide information of reflective properties of surfaces or objects at a point level. Also, a high amount of details allows a good approximation of complex geometries, e.g.

Abstract: Techniques related to managing the use of motion estimation in video processing are discussed. Such techniques may include determining dividing two video frames each into corresponding regions, generating phase plane correlations for the corresponding regions, determining whether the video frames are motion estimation correlated based on the phase plane correlations, and providing a video frame prediction mode indicator based on the determination.

Abstract: Techniques related to managing the use of motion estimation in video processing are discussed. Such techniques may include determining dividing two video frames each into corresponding regions, generating phase plane correlations for the corresponding regions, determining whether the video frames are motion estimation correlated based on the phase plane correlations, and providing a video frame prediction mode indicator based on the determination.

Abstract: Systems, apparatus, articles, and methods are described related to motion estimation using hierarchical phase plane correlation and block matching.

Abstract: A multi-function sub is connected between a top drive of a drilling rig and a casing gripper. The sub has telescoping upper and lower members that rotate with each other. A sleeve is mounted to one of the members. That sleeve is prevented from rotation with the upper and lower members by an anti-rotation device. A piston is located on the other member and reciprocally carried within the sleeve. An external pump is connected to the sleeve for supplying pressurized fluid into the sleeve to act against the piston. This fluid provides compensation for thread makeup when a new joint of casing is being secured to a string of casing.

Abstract: A multi-function sub is connected between a top drive of a drilling rig and a casing gripper. The sub has telescoping upper and lower members that rotate with each other. A sleeve is mounted to one of the members. That sleeve is prevented from rotation with the upper and lower members by an anti-rotation device. A piston is located on the other member and reciprocally carried within the sleeve. An external pump is connected to the sleeve for supplying pressurized fluid into the sleeve to act against the piston. This fluid provides compensation for thread makeup when a new joint of casing is being secured to a string of casing.