708results about How to "Reduce background noise" patented technology

Systems and methods for the multispectral imaging of skin tissue enables automatic characterization of the condition of a region of interest of the skin, based on direct digital imaging of the region of interest or the digitization of color photographic slides of the region of interest, illuminated by appropriately filtered light. Preferably, a digital image at a low spectral band is automatically segmented and that segmented mask is used to segment the other images by a digital processor. Parameters are estimated through wavelet maxima representations. Parameters related to the texture, asymmetry, blotchiness and border irregularities are also automatically estimated. The region of interest is automatically characterized by the digital processor, based on those parameters. The region of interest may include a skin lesion, in which case the present invention enables the characterization of the lesion as malignant or benign. The region of interest may also include wounds or burns.

Compositions, systems and methods of sequencing are disclosed, where the compositions and systems include polymerase enzymes that have been genetically modified to more efficiently incorporate nucleotides including labels having a detectable properties that are released during incorporation, to augment a rate of labeled nucleotide incorporation, to augment a rate of pyrophosphate release, or to augment two or more of these properties and rates. Also disclosed are terminally labeled and dual labeled nucleotides, and click-chemistry based methods of synthesizing the same.

The invention converts a document originating in a page-image format into a form suitable for an arbitrarily sized display, by reformatting or "re-flowing" of the document to fit an arbitrarily sized display device.

A UAV is provided to cancel background noise from audio data collected by the UAV. The UAV is provided with one or more background microphones in a proximity of one or more background noise-producing components. The UAV is also provided with one or more audio source collecting microphones. The audio data collected by the background microphones may be used to reduce or cancel interfering background noise from the audio signal detected by the audio source collecting microphone. The target audio may be captured or recorded with little or no background noise.

An earcup assembly 11 for a headset 10 comprising a housing having a first side adapted to engage the head of a user when in use and a second side opposite thereto. A recess provided in the second side of the housing receives and stores a battery. A battery door 14 is arranged to slidably engage the second side of the housing such that the battery door 14 may be moved between a first, open position in which the recess is accessible to a user and a second, closed position in which the recess is covered by the battery door 14. Preferably, the earcup assembly 11 includes active noise reduction circuitry. One or a pair of such earcup assemblies 11 may be arranged to form a headset 10, wherein the assemblies 11 are coupled to a headband 12 via yokes 13.

A method and system for inhibiting noise produced by one or more sources of undesired sound from pickup by a speech recognition unit, where a respective transducer is located proximate each source of undesired sound for converting each source of undesired sound to a corresponding electrical signal, and a noise reduction system is coupled to each of the transducers for converting each electrical signal to an equivalent anti-phase electrical signal of equal amplitude. An output of the noise reduction or a signal corresponding thereto is fed to the speech recognition unit so each of the anti-phase electrical signals cancels or reduces a corresponding electrical signal produced by the speech recognition unit upon picking up the undesired sound from the respective source.

A multimedia-based language learning method and system which includes implementing via one or more processors the steps of—receiving an input of multimedia content, where the multimedia content comprises a plurality of component tracks; separating the multimedia content into multimedia sections in which the plurality of component tracks share a same start and end time; retrieving a user model representing a learner's knowledge and / or interest in a foreign language; automatically assigning one or more learner-specific evaluations to the multimedia sections by evaluating one or more of the component tracks based on the user model within each of the multimedia sections; and adapting the multimedia content within the multimedia sections based on the assigned learner-specific evaluations to render the multimedia content more useful to the learner for learning the foreign language.

The invention relates to a dual-microphone-based speech enhancement device and method. The device comprises a microphone array module and a fixed beam former, the microphone array module comprises a first microphone and a second microphone which are used for receiving time-domain noisy speech signals and outputting received time-domain noisy speech signals, wherein the time-domain noisy speech signals received by the first microphone and the second microphone are respectively x1 and x2; and the fixed beam former is used for receiving the time-domain noisy speech signals output by the microphone array module and overlying the speech part of the received time-domain noisy speech signals to amplify the time-domain noisy speech signals so as to form initially enhanced speech signals, and then outputting the signals. The device and the method have good denoising effect.

Proximity sensor, particularly for usage in an electronic mobile device, comprising at least one acoustic transducer adapted for receiving acoustic signals at least in parts of the frequency range of human audible sound and emitting and / or receiving ultrasonic signals for proximity estimation. The acoustic transducer preferably is a Micro-Electro-Mechanical-Systems (MEMS) microphone. Further, a method in an electronic device comprising an acoustic transducer is provided comprising the steps of generating at least one electric signal in the frequency range of ultrasonic sound, emitting at least one ultrasonic signal by means of the acoustic transducer; receiving at least one ultrasonic signal by means of the acoustic transducer; deducing from the at least one emitted ultrasonic signal and the at least one received ultrasonic signal at least the delay between emission of the emitted ultrasonic signal and reception of the corresponding ultrasonic signal.

The invention relates to time-of-flight mass spectrometers for the measurement of daughter ion spectra (also called fragment ion spectra or MS / MS spectra) and corresponding measurement methods.According to the invention, the ions of an ion source are initially accelerated only to an intermediate level of energy, allowing them to decompose at that energy level by metastable decomposition or by collisionally induced fragmentation (CID). The ions are then accelerated in a second step to a high energy level. Light fragment ions gain a higher velocity than heavier fragment ions or non-decomposed parent ions. The spectrum of fragment ions can be detected separated by mass in either linear or reflector mode. An ion selector at the low energy level selects a single type of parent ion in order to avoid superpositions with fragment ions of other parent ions. A particularly preferred embodiment raises the potential of ions, for there second acceleration, during their flight through a small electrically isolated flight path chamber.

The invention provides a double-microphone speech enhancer, which comprises a double-microphone array module, a delay compensation module, a cepstrum field dereverberation module, a speech enhancement processing module and an output module, wherein the cepstrum field dereverberation module has the effect of dereverberation. The invention also provides a speech enhancement method based on the double-microphone speech enhancer. The invention adopts the cepstrum field dereverberation module to carry out beam formation and low-pass filtering, and can effectively eliminate the affection of room reverberation, and meanwhile, by using a speech enhancement algorithm, background noise can be further suppressed.

A method for selective sound field environment processing for one or more wireless earpieces, each of the one or more wireless earpieces including comprising a plurality of microphones is provided. The method includes receiving audio input of a sound field environment from the plurality of microphones of each of the one or more wireless earpieces, identifying background noise in the sound field environment, identifying audio from at least one sound source within the sound field environment, processing the audio input using one or more processors of at least one of the wireless earpieces to reduce the background noise and processing the audio input using one or more processors of the at least one of the wireless earpieces to enhance the audio from the at least one sound source within the sound field environment to provide processed audio, and transducing the processed audio at one or more speakers of the one or more wireless earpieces.

A method of converting electrical signals into mechanical vibration by means of a transducer in the human ear, an ear canal transducer and a headset wherein a sensation of hearing is achieved by exciting the tissue of the ear canal directly with said transducer, whereby the vibrations propagate to the tympanic membrane and into the human sound sensing organs.

A speech coding system is provided with time-domain noise attenuation. The speech coding system has an encoder operatively connected to a decoder via a communication medium. A preprocessor processes a digitized speech signal from an analog-to-digital converter. Speech coding systems are used to encode and decode a bitstream. Gains from the speech coding are adjusted by a gain factor Gf that provides time-domain background noise attenuation.

The present invention relates to a scanning probe (2) for capturing data from a plurality of points on the surface of an object by irradiating the object with a light stripe and detecting light reflected from the object surface, the scanning probe comprising (a) stripe generating means (14) for generating and emitting a light stripe (55); (b) a camera (16) comprising an imaging sensor having an array of pixels to detect the light stripe reflected from the object surface: (c) means for adjusting the intensity of the light stripe (55) during acquisition of the frame, in dependence upon the intensities detected by the camera (16). It also relates to a means to modify the stripe length, a scanner with separate compartment for the processing means, and an attachable dust cover for a scanner.

Systems and methods of improved noise reduction using direction of arrival information include: receiving an audio signal from two or more acoustic sensors; applying a beamformer module to employ a first noise cancellation algorithm to the audio signal; applying a noise reduction post-filter module to the audio signal, the application of which includes: estimating a current noise spectrum of the received audio signal after the application of the first noise cancellation algorithm; using spatial information derived from the audio signal received from the two or more acoustic sensors to determine a measured direction-of-arrival by estimating the current time-delay between the acoustic sensor inputs; comparing the measured direction-of-arrival to a target direction-of-arrival; applying a second noise reduction algorithm to the audio signal in proportion to the difference between the measured direction-of-arrival and the target direction-of-arrival; and outputting a single audio stream with reduced background noise.

The present invention relates to a headset having an adjustable microphone boom wherein gain applied to the microphone signal is varied based on the position of the boom.

Methods and systems for spatially resolved spin resonance detection in a sample of material are disclosed. Also disclosed are methods and systems for spatially resolved impedance measurements in a sample of material. The disclosed methods and samples can be used in screening of plurality of biological, chemical and material samples.

A system and method for reducing or entirely canceling background or ambient noise from a voice transmission from a communications device. A communications device, such as a mobile telephone, is configured with an ambient noise compensation signal generator that is connected between a microphone and a mixer. The original output of the microphone and a compensation signal generated by the ambient noise compensation signal generator are mixed together prior to being passed to a transmitter. In one embodiment a buffer is provided between the microphone and the mixer to help synchronize the timing of the signals to be mixed. In another embodiment a second microphone is employed to detect ambient noise.

The present invention is directed to a system and method for background noise reduction and performance improvement in conferencing. A method for providing a conferencing session may include receiving inputs from a number of participants in a conferencing session. A number of prominent inputs are determined from the received inputs and the determined prominent inputs are combined into a first output stream. The output stream is suitable for being sent to at least one participant of the number of participants in the conferencing session.

Embodiments of the claimed subject matter are directed to the ability to further multiplex in the digital regime using combinatorial color, temporal, and intensity encoding of probe sequences for a greater number of total signal readouts. A digital PCR solution is provide which enables the unique ability to identify a greater number of fluorescent probe sequences by using multiple color, temporal, and intensity combinations to encode each unique probe sequence. Furthermore, less expensive real-time PCR amplification indicators such as PicoGreen can be used to achieve multiplexed digital PCR based on temporal cues, intensity cues, or intensity and temporal cues combined, thus distinguishing primer pairs at greater degrees with significant cost reductions. These can also be used to enhance controls and normalize results for greater accuracy.

The invention provides an image salient target detection method combined with deep learning. The method is based on an improved RFCN deep convolution neural network of cross-level feature fusion, anda network model comprises two parts of basic feature extraction and cross-level feature fusion. The method comprises: firstly, using an improved deep convolution network model to extract features of an input image, and using a cross-level fusion framework for feature fusion, to generate a high-level semantic feature preliminary saliency map; then, fusing the preliminary saliency map with image bottom-layer features to perform saliency propagation and obtain structure information; finally, using a conditional random field (CRF) to optimize a saliency propagation result to obtain a final saliency map. In a PR curve graph obtain by the method, F value and MAE effect are better than those obtained by other nine algorithms. The method can improve integrity of salient target detection, and has characteristics of less background noise and high algorithm robustness.

A mass spectrometer and a method of mass spectrometry are disclosed wherein periodic background noise is effectively filtered out from the mass spectral data. An overall mass window is superimposed upon the mass spectral data. The overall mass window preferably comprises 21 nominal mass windows each preferably having a width of 1.0005 amu. Each nominal mass window preferably comprises 20 channels. An intensity distribution relating to all the first channels of the 21 nominal mass windows is determined. An intensity quantile is determined from the intensity distribution. The intensity quantile is taken to represent the background intensity in the first channel of the central nominal mass window. This process is repeated for the other channels so that the background intensity across the whole of the central nominal mass window is estimated and then subtracted from the raw mass spectral data comprising the central nominal mass window. The overall mass window is then preferably advanced approximately 1 amu and the process is repeated multiple times.

An approach for efficiently reducing background noise from speech signal in real-time applications is presented. A noisy input speech signal is processed through an inverse filter when the spectrum tilt of the input signal is not that of a pure background noise model the noisy input signal is also filtered in order to reduce the spectrum valley areas of the noisy input signal when the background noise is present.

The invention concerns multimers developed from recombinant proteins analogues of MHC class I.

A three dimensional area of quiet is created by an active noise cancellation system comprising a reference microphone receiving background noise and sending the noise signal to an adaptive active noise canceller. An adaptive filter system using weights updated by a least mean squares method or other method generates an anti-phase signal which is broadcasted to counteract the background noise. The resulting residual noise or residual signal is sent back to the adaptive active noise canceller to reset the weights of the adaptive filter.

The invention provides an apparatus and method for determining a signal produced by a micro array device. The apparatus provides an unstructured probe and structured probe. The unstructured probe binds to a target and provides a first signal that can be compared to a second signal produced by a structured probe. A more accurate level of intensity of the first signal can be determined by comparing to the second signal produced by the structured probe. A method for determining a more accurate level of signal intensity produced from the unstructured probes bound to the target is also disclosed.

A mass spectrometer and a method of mass spectrometry are disclosed wherein periodic background noise is effectively filtered out from the mass spectral data. An overall mass window is superimposed upon the mass spectral data. The overall mass window preferably comprises 21 nominal mass windows each preferably having a width of 1.0005 amu. Each nominal mass window preferably comprises 20 channels. An intensity distribution relating to all the first channels of the 21 nominal mass windows is determined. An intensity quantile is determined from the intensity distribution. The intensity quantile is taken to represent the background intensity in the first channel of the central nominal mass window. This process is repeated for the other channels so that the background intensity across the whole of the central nominal mass window is estimated and then subtracted from the raw mass spectral data comprising the central nominal mass window. The overall mass window is then preferably advanced approximately 1 amu and the process is repeated multiple times.

A radiation, explosives, and special materials, detection and identification system includes a housing supporting one or more gamma sensors and one or more solid-state neutron sensors proximate to container contents under examination. The system collects radiation data from the sensors and compares the collected data to one or more stored spectral images representing one or more isotopes to identify one or more isotopes present. The identified one or more isotopes present are corresponded to possible materials or goods that they represent. The possible materials or goods are compared with the manifest relating to the container to confirm the identity of materials or goods contained in the container or to detect and / or identify unauthorized materials or goods in the container. A battery powered sensor arrangement is also disclosed.

A radiation, explosives, and special materials, detection and identification system includes a housing supporting one or more gamma sensors and one or more solid-state neutron sensors proximate to container contents under examination. The system collects radiation data from the sensors and compares the collected data to one or more stored spectral images representing one or more isotopes to identify one or more isotopes present. The identified one or more isotopes present are corresponded to possible materials or goods that they represent. The possible materials or goods are compared with the manifest relating to the container to confirm the identity of materials or goods contained in the container or to detect and / or identify unauthorized materials or goods in the container. A battery powered sensor arrangement is also disclosed.