Abstract: An aircraft provided with at least one exhaust duct for discharging gases from an engine. The exhaust duct is partly accommodated in an internal housing of the aircraft, the housing being separated from an external environment situated outside the aircraft by at least one cowl that is able to move in relation to a load-bearing structure of the aircraft. The exhaust duct comprises an exhaust segment passing through a passage of the cowl without touching the cowl. A space separates the exhaust segment from the cowl. The aircraft comprises at least one stabilization system coupled to the exhaust duct, the stabilization system comprising a stiffening ring secured to the exhaust duct and at least one fastening connecting the exhaust duct to the cowl.

Abstract: A device that is able to generate a segmentation mask for an object in a digital image is provided. To do so, the device comprises a processing logic that is configured to use a previously trained auto-encoder to encode the image, and decode the image generating an additional alpha channel, which defines the segmentation mask.

Abstract: An anomaly detection method of objects in a digital image is provided, wherein the image of the object is encoded and decoded by an autoencoder, then a pixel-wise difference is calculated between the input image of the object, and the reconstructed image of the object. Pixels whose pixel-wise difference is above a threshold are considered as dissimilar pixels, and the presence of clusters of dissimilar pixels is tested. A cluster of dissimilar pixel is considered as representing an anomaly.

Abstract: The invention relates to a system for shooting moving images, includes a drone provided with a camera and a ground station communicating with the drone, the camera being directed along a sight axis, the displacements of the drone being defined by flight instructions applied to a set of propulsion units of the drone, the drone being adapted to fly autonomously to shoot moving images of a target moving with the ground station. The system includes control means configured to generate the flight instructions so as to hold substantially constant the angle between the sight axis of the camera and the direction of displacement of the target upon activation of the target tracking. The ground station includes means, controlled by at least one piloting means forming a button for activating the target tracking, to alternatively switch the drone piloting mode between a mode of activation of the target tracking system and a deactivation mode.

Abstract: This device comprises: a main body (100, 400); a tip (200, 110) adapted to be stuck into a plant substrate; an end fitting (404) opening upward from the body, adapted to tightly and removably cooperate with an opening of a water tank (B), an axis of the end fitting being substantially aligned with a median axis of the tip; humidity detection elements (202a, 202b) provided on the tip; an irrigation control circuit (700) connected to said detection elements; and an irrigation valve (300) provided in the main body, adapted to control a circulation of water between the end fitting (404, 405) and a water outlet passage (406) in response to instructions coming from the irrigation control circuit.

Abstract: The equipment comprises a digital processor implementing an operating system requiring a previous boot before the equipment is in an operational state. A start module is operable, when the device is initially in a power-off state, for: producing a triggering signal upon detection (32) of a vibration by a sensor incorporated in the equipment, and activating (34) the processing means so as to initiate the boot of the operating system, but without activating the lighting means of a front display of the equipment, and finally activating these lighting means upon reception (36) of a vehicle start signal.

Abstract: The method comprises the steps of: digitizing sound signals picked up simultaneously by two microphones (N, M); executing a short-term Fourier transform on the signals (xn(t), xm(t)) picked up on the two channels so as to produce a succession of frames in a series of frequency bands; applying an algorithm for calculating a speech-presence confidence index on each channel, in particular a probability a speech that is present; selecting one of the two microphones by applying a decision rule to the successive frames of each of the channels, which rule is a function both of a channel selection criterion and of a speech-presence confidence index; and implementing speech processing on the sound signal picked up by the one microphone that is selected.

Abstract: The equipment comprises a digital processor implementing an operating system requiring a previous boot before the equipment is in an operational state. A start module is operable, when the device is initially in a power-off state, for: producing a triggering signal upon detection (32) of a vibration by a sensor incorporated in the equipment, and activating (34) the processing means so as to initiate the boot of the operating system, but without activating the lighting means of a front display of the equipment, and finally activating these lighting means upon reception (36) of a vehicle start signal.

Abstract: A multi-microphone hands-free device operating in noisy surroundings implements a method of de-noising a noisy sound signal. The noisy sound signal comprises a useful speech component coming from a directional speech source and an unwanted noise component, the noise component itself including a lateral noise component that is non-steady and directional. The method operates in the frequency domain and comprises combining signals into a noisy combined signal, estimating a pseudo-steady noise component, calculating a probability of transients being present in the noisy combined signal, estimating a main arrival direction of transients, calculating a probability of speech being present on the basis of a three-dimensional spatial criterion suitable for discriminating amongst the transients between useful speech and lateral noise, and selectively reducing noise by applying a variable gain specific to each frequency band and to each time frame.

Abstract: The method comprises the steps of: digitizing sound signals picked up simultaneously by two microphones (N, M); executing a short-term Fourier transform on the signals (xn(t), xm(t)) picked up on the two channels so as to produce a succession of frames in a series of frequency bands; applying an algorithm for calculating a speech-presence confidence index on each channel, in particular a probability a speech that is present; selecting one of the two microphones by applying a decision rule to the successive frames of each of the channels, which rule is a function both of a channel selection criterion and of a speech-presence confidence index; and implementing speech processing on the sound signal picked up by the one microphone that is selected.

Abstract: The method comprises the steps of: filtering the audio signal by means of a lowpass filter (101) with a cutoff frequency substantially equal to said cutoff frequency (F0) of the sound playback device; determining a fundamental frequency for reconstituting from the lowpass filtered audio signal; and generating a harmonic signal (Sharm) associated with said fundamental frequency to be reconstituted. It also comprises the steps of: detecting a time envelope (env(t)) of the lowpass filtered audio signal; adapting the dynamic range of said time envelope (env(t)) as a function of the frequency band under consideration; and reinjecting said harmonic signal in phase into said audio signal by addition after multiplying said harmonic signal (Sharm) with the adapted time envelope (envadapt(t)).

Abstract: A multi-microphone hands-free device distinguishes between non-steady noise and speech and adapts the de-noising to the presence and characteristics of the detected non-steady noise without spoiling any speech that is present. In the frequency domain, the method comprises calculating a first noise reference by analyzing spatial coherence of signals picked up, calculating a second noise reference by analyzing directions of incidence of signals picked up, estimating a main direction of incidence of signals picked up, selecting as a referent noise signal noise references as a function of estimated main direction, combining signals picked up into a noisy combined signal, calculating probability that speech is absent in the noisy combined signal on basis of respective spectral energy levels of the noisy combined signal and of the referent noise signal, and selectively reducing noise by applying variable gain that is specific to each frequency band and to each time frame.

Abstract: A method of analyzing time coherence in the noisy signal including the steps of: a) determining a reference signal from the noisy signal by applying treatment (10, 18) to the noisy signal that is suitable for attenuating speech components more strongly than the noise component, in particular by an adaptive recursive predictive algorithm of the LMS type; b) determining (24) a probability of speech being present/absent on the basis of the respective energy levels in the spectral domain of the noisy signal and of the reference signal; and c) deriving (26) a denoised estimate of the speech signal from the noise signal as a function of the probability of the speech being present/absent as determined in this way.

Abstract: In the frequency domain, the method comprises the following steps: a) calculating a first noise reference by analyzing the spatial coherence of the signals picked up; b) calculating a second noise reference by analyzing the directions of incidence of the signals picked up; c) estimating a main direction of incidence of the signals picked up; d) selecting as a referent noise signal one or the other of the noise references as a function of the estimated main direction; e) combining the signals picked up into a noisy combined signal; f) calculating a probability that speech is absent in the noisy combined signal on the basis of the respective spectral energy levels of the noisy combined signal and of the referent noise signal; and g) selectively reducing the noise by applying variable gain that is specific to each frequency band and to each time frame.

Abstract: The method comprises the following steps in the frequency domain: a) combining signals into a noisy combined signal; b) estimating a pseudo-steady noise component; c) calculating a probability of transients being present in the noisy combined signal; d) estimating a main arrival direction of transients; e) calculating a probability of speech being present on the basis of a three-dimensional spatial criterion suitable for discriminating amongst the transients between useful speech and lateral noise; and f) selectively reducing noise by applying a variable gain specific to each frequency band and to each time frame.

Abstract: The method comprises the steps of: filtering the audio signal by means of a lowpass filter (101) with a cutoff frequency substantially equal to said cutoff frequency (F0) of the sound playback device; determining a fundamental frequency for reconstituting from the lowpass filtered audio signal; and generating a harmonic signal (Sharm) associated with said fundamental frequency to be reconstituted. It also comprises the steps of: detecting a time envelope (env(t)) of the lowpass filtered audio signal; adapting the dynamic range of said time envelope (env(t)) as a function of the frequency band under consideration; and reinjecting said harmonic signal in phase into said audio signal by addition after multiplying said harmonic signal (Sharm) with the adapted time envelope (envadapt(t)).

Abstract: The kit comprises a helmet unit with a microphone, earpieces, circuits for processing and amplifying an audio signal, and for coupling with a remote telephone. A self-contained wireless remote control is releasably fittable on the handlebar. The remote control is in the form of a resilient clamp having two movable branches united by a hinge provided with resilient return means enabling it to be placed around the handlebar. The resilient return means then urge the two branches to clamp onto the handlebar in order to hold the device close to the fingers of the user who can thus access the various function keys of the remote control.

Abstract: This method is a method of analyzing time coherence in the noisy signal and comprises the steps consisting in: a) determining a reference signal from the noisy signal by applying treatment (10, 18) to the noisy signal that is suitable for attenuating speech components more strongly than the noise component, in particular by means of an adaptive recursive predictive algorithm of the LMS type; b) determining (24) a probability of speech being present/absent on the basis of the respective energy levels in the spectral domain of the noisy signal and of the reference signal; and c) deriving (26) a denoised estimate of the speech signal from the noise signal as a function of the probability of the speech being present/absent as determined in this way.