摘要:
A Sensor System (101) being located in an environment composed of a first medium (105), where waves propagate with a first phase velocity, the sensor System (101) comprising at least one main enclosure (102) and a sensor array (103) with at least two sensors (104), said sensor array (103) being arranged inside the main enclosure (102), wherein the space inside the main enclosure (102) between the sensor array (103) and the inner surface of the main enclosure (102) is filled with a second medium (106), in which waves propagate with a second phase velocity, the second phase velocity being different from the first velocity.
摘要:
An apparatus for noise suppression having a linear prediction analysis circuit having an LP error filter (LFF), which takes a first, noisy voice signal y(n) = x(n) + ε(n) as a basis for producing an LP-error-filter output signal e(n), having a coefficient calculation unit (KBE), which updates the coefficients of the LP error filter on the basis of the internal signals (including the input and output signals y(n) and e(n)) in the LP error filter, and having a subtraction unit, which subtracts the LP error filter output signal e(n) from the first voice signal y(n) in a subtractor and, following the subtraction, outputs the remainder as a second voice signal x(n) = y(n) - e(n) in which the noise is suppressed, where a noise estimation unit (GSE) is provided which takes the internal signals of the LP error filter as a basis for producing a noise power signal σn2 and a voice power signal σx2, these signals are applied to the coefficient calculation unit (KBE) and said signals are used by the latter for the purpose of optimizing the noise suppression.
摘要:
A Sensor System (101) being located in an environment composed of a first medium (105), where waves propagate with a first phase velocity, the sensor System (101) comprising at least one main enclosure (102) and a sensor array (103) with at least two sensors (104), said sensor array (103) being arranged inside the main enclosure (102), wherein the space inside the main enclosure (102) between the sensor array (103) and the inner surface of the main enclosure (102) is filled with a second medium (106), in which waves propagate with a second phase velocity, the second phase velocity being different from the first velocity.
摘要:
An apparatus for noise suppression having a linear prediction analysis circuit having an LP error filter (LFF), which takes a first, noisy voice signal y(n) = x(n) + ε(n) as a basis for producing an LP-error-filter output signal e(n), having a coefficient calculation unit (KBE), which updates the coefficients of the LP error filter on the basis of the internal signals (including the input and output signals y(n) and e(n)) in the LP error filter, and having a subtraction unit, which subtracts the LP error filter output signal e(n) from the first voice signal y(n) in a subtractor and, following the subtraction, outputs the remainder as a second voice signal x(n) = y(n) - e(n) in which the noise is suppressed, where a noise estimation unit (GSE) is provided which takes the internal signals of the LP error filter as a basis for producing a noise power signal σn2 and a voice power signal σx2, these signals are applied to the coefficient calculation unit (KBE) and said signals are used by the latter for the purpose of optimizing the noise suppression.
摘要:
The invention relates to a method for localizing and tracking acoustic sources (101) in a multi-source environment, comprising the steps of recording audio-signals (103) of at least one acoustic source (101) with at least two recording means (104, 105), creating a two- or multi-channel recording signal, partitioning said recording signal into frames of predefined length (N), calculating for each frame a cross-correlation function as a function of discrete time-lag values (τ) for channel pairs (106, 107) of the recording signal, evaluating the cross-correlation function by calculating a sampling function depending on a pitch parameter (f0) and at least one spatial parameter (φ0), the sampling function assigning a value to every point of a multidimensional space being spanned by the pitch-parameter and the spatial parameters, and identifying peaks in said multidimensional space with respective acoustic sources in the multi-source environment.
摘要:
The invention relates to a method for localizing and tracking acoustic sources (101) in a multi-source environment, comprising the steps of recording audio-signals (103) of at least one acoustic source (101) with at least two recording means (104, 105), creating a two- or multi-channel recording signal, partitioning said recording signal into frames of predefined length (N), calculating for each frame a cross-correlation function as a function of discrete time-lag values (τ) for channel pairs (106, 107) of the recording signal, evaluating the cross-correlation function by calculating a sampling function depending on a pitch parameter (f0) and at least one spatial parameter (φ0), the sampling function assigning a value to every point of a multidimensional space being spanned by the pitch-parameter and the spatial parameters, and identifying peaks in said multidimensional space with respective acoustic sources in the multi-source environment.
摘要:
The present invention relates to a system (1) and a method for determining a sound propagation characteristic of an environment (2), comprising a sound source (4) configured to be brought to a predetermined first position (A) and to generate a measuring sound (n), a microphone (5) configured to be brought to a predetermined second position (B) and to record the measuring sound (n') propagating to the second position (B), and a processing unit (7) for calculating the sound propagation characteristic from the generated and the recorded measuring sounds (n, u, u'), wherein the sound source (4) is an unmanned rotorcraft with one or more motor-driven rotors (6), and the generated measuring sound (n) is the ego noise of the rotor/s (6) and the motor-drive/s of the rotorcraft (4).
摘要:
Method for estimation of at least one signal of interest (s 1 (t), s 1 (n)) from at least one discrete- time signal (y(n)), said method comprising the steps of a) transforming the at least one discrete-time signal (y(n)) into a frequency domain to obtain a complex spectrum (I) of the at least one discrete-time signal (y(n)); b) performing a phase-unaware amplitude estimation on the complex spectrum (I) to obtain an estimated amplitude spectrum of the at least one signal of interest (s 1 (t), s 1 (n)); c) performing a phase estimation on the complex spectrum (I) said phase estimation being an amplitude-aware phase estimation using an input signal (s in (n)) to obtain an estimated phase spectrum of the at least one signal of interest (s 1 (t), s 1 (n)), wherein the result of the amplitude estimation of the preceding step b) is used as an input signal (s in (n)); d) performing an amplitude estimation on the complex spectrum (I) said amplitude estimation being a phase-aware amplitude estimation using the result of the phase estimation of step c) to obtain an enhanced complex spectrum (II) of the at least one signal of interest (s 1 (t), s 1 (n)).