703results about How to "Reduce background noise" patented technology

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 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.

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.

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 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.

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.

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.