US5337251A
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Method of detecting a useful signal affected by noise
Assignee: Thales Avionics SAS
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Filing: 1992-06-05
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Granted: 1994-08-09
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Expires: 2012-06-05
Abstract
Abstract In order to detect a useful signal affected by noise, a measurement is taken of the expected S/N ratio of this signal over a time slice, a measurement of the estimated white noise alone is taken over another time slice without useful signal, the mean energy of the noise and of the noise-affected signal is calculated, in each of their time slices, the theoretical detection threshold is calculated, the ratio of these two energies is calculated, and the ratio is compared with the calculated threshold, this threshold being greater than 1 (ideal threshold).
Inventors
- 👤 Dominique Pastor
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-03 04:56
CPC Classifications
G; G10; G10L; G10L25/00; G10L25/78
Claims Analysis
Total Claims: 22
Claim 1
Independent Claim
102 words
A method for detecting if speech is present in an audio sample, comprising the steps of: detecting noise and generating a noise signal; detecting an audio sample which includes both speech and noise and generating an audio signal; determining an energy of the noise signal; determining an energy of the audio signal; calculating a ratio of the energy of the audio signal to the energy of the noise signal; calculating a detection threshold; and comparing the calculated ratio with the calculated detection threshold and outputting a comparison result which indicates one of a presence and absence of speech in the audio sample.
Claim 2
Independent Claim
102 words
A method for detecting if speech is present in an audio sample, comprising the steps of: detecting noise and generating a noise signal; detecting an audio sample which includes both speech and noise and generating an audio signal; determining an energy of the noise signal; determining an energy of the audio signal; calculating a ratio of the energy of the audio signal to the energy of the noise signal; calculating a detection threshold; and comparing the calculated ratio with the calculated detection threshold and outputting a comparison result which indicates one of a presence and absence of speech in the audio sample.
Claim 3
Dependent Claim
77 words
A method according to claim 1, further comprising the step of: calculating a second detection threshold; wherein said comparing step comprises the substeps of: comparing the calculated ratio with the first calculated detection threshold and outputting a first comparison result; and comparing the calculated ratio with the second calculated detection threshold and outputting a second comparison result; and wherein said outputting of the comparison result outputs the comparison result using both said first and second comparison results.
Claim 4
Dependent Claim
58 words
A method according to claim 1, further comprising the steps of: determining if said noise signal is a white noise signal; and converting said noise signal to a noise signal containing white noise, when said step of determining if said noise signal is a white noise signal determines that said noise signal is not a white noise signal.
Claim 5
Dependent Claim
50 words
A method according to claim 1, wherein: said step of determining the energy of the noise signal determines the energy of the noise signal over N sampling slices; and said step of determining the energy of the audio signal determines the energy of the audio signal over M sampling slices.
Claim 6
Dependent Claim
56 words
A method according to claim 4, wherein: the step of calculating the detection threshold calculates the detection threshold for: ##EQU20## where r 0 is an expected signal to noise ratio, K=M/N, π 0 is a probability of an absence of the useful signal, and π 1 is a probability of a presence of the useful signal.
Claim 7
Dependent Claim
56 words
A method according to claim 4, wherein: the step of calculating the detection threshold calculates the detection threshold for: ##EQU21## where r 0 is an expected signal to noise ratio, K=M/N, π 0 is a probability of an absence of the useful signal, and π 1 is a probability of a presence of the useful signal.
Claim 8
Independent Claim
136 words
An apparatus for detecting if speech is present in an audio sample, comprising: first energy determination means for determining an energy of a measured noise signal; a speech file for storing an audio sample which includes both speech and noise; second energy determination means, connected to the speech file for determining an energy of the stored audio sample; first calculating means for calculating a ratio of the energy of the stored audio sample to an energy of the noise signal, connected to the first and second energy determination means; second calculating means for calculating a detection threshold; and means for comparing the calculated ratio with the calculated detection threshold and outputting a comparison result which indicates one of a presence and absence of speech in the audio sample, connected to the first and second calculating means.
Claim 9
Independent Claim
136 words
An apparatus for detecting if speech is present in an audio sample, comprising: first energy determination means for determining an energy of a measured noise signal; a speech file for storing an audio sample which includes both speech and noise; second energy determination means, connected to the speech file for determining an energy of the stored audio sample; first calculating means for calculating a ratio of the energy of the stored audio sample to an energy of the noise signal, connected to the first and second energy determination means; second calculating means for calculating a detection threshold; and means for comparing the calculated ratio with the calculated detection threshold and outputting a comparison result which indicates one of a presence and absence of speech in the audio sample, connected to the first and second calculating means.
Claim 10
Dependent Claim
86 words
An apparatus according to claim 7, further comprising: means for calculating a second detection threshold, connected to said comparing means; wherein said comparing means comprises: means for comparing the calculated ratio with the first calculated detection threshold and outputting a first comparison result; and means for comparing the calculated ratio with the second calculated detection threshold and outputting a second comparison result; and wherein said outputting of the comparison result by the comparing means outputs the comparison result using both said first and second comparison results.
Claim 11
Dependent Claim
57 words
An apparatus according to claim 7, further comprising: white noise determination means for determining if said noise signal is a white noise signal, connected to the first energy determination means; conversion means, connected to said white noise determination means and said first energy detection means, for converting said noise signal to a noise signal containing white noise.
Claim 12
Dependent Claim
40 words
An apparatus according to claim 7, wherein: said first energy determination means determines the energy of the noise signal over N sampling slices; and said second energy determination means determines the energy of the audio signal over M sampling slices.
Claim 13
Dependent Claim
56 words
An apparatus according to claim 10, wherein: the means for calculating the detection threshold calculates the detection threshold for: ##EQU22## where r 0 is an expected signal to noise ratio, k=M/N, π 0 is a probability of an absence of the useful signal, and π 1 is a probability of a presence of the useful signal.
Claim 14
Dependent Claim
56 words
An apparatus according to claim 10, wherein: the means for calculating the detection threshold calculates the detection threshold for: ##EQU23## where r 0 is an expected signal to noise ratio, k=M/N, π 0 is a probability of an absence of the useful signal, and π 1 is a probability of a presence of the useful signal.
Claim 15
Dependent Claim
50 words
An apparatus according to claim 7, further comprising: a segmentation means, connected to the speech file, for segmenting diction contained in the speech file; and a switch connected to the segmentation means; wherein a coarseness of segmentation performed by the segmentation means is determined using a setting of said switch.
Claim 16
Independent Claim
140 words
An apparatus for detecting if speech is present in an audio sample, comprising: first energy determination means for determining an energy of a measured noise signal; a sound detector; second energy determination means, connected to the sound detector, for determining an energy an audio sample containing noise and speech detected by the sound detector; first calculating means, connected to the first and second energy determination means, for calculating a ratio of the energy of the audio sample to an energy of the noise signal, connected to the first and second energy determination means; second calculating means for calculating a detection threshold; and means for comparing the calculated ratio with the calculated detection threshold and outputting a comparison result which indicates one of a presence and absence of speech in the audio sample, connected to the first and second calculating means.
Claim 17
Independent Claim
140 words
An apparatus for detecting if speech is present in an audio sample, comprising: first energy determination means for determining an energy of a measured noise signal; a sound detector; second energy determination means, connected to the sound detector, for determining an energy an audio sample containing noise and speech detected by the sound detector; first calculating means, connected to the first and second energy determination means, for calculating a ratio of the energy of the audio sample to an energy of the noise signal, connected to the first and second energy determination means; second calculating means for calculating a detection threshold; and means for comparing the calculated ratio with the calculated detection threshold and outputting a comparison result which indicates one of a presence and absence of speech in the audio sample, connected to the first and second calculating means.
Claim 18
Dependent Claim
81 words
An apparatus according to claim 14, further comprising: means for calculating a second detection threshold; wherein said comparing means comprises: means for comparing the calculated ratio with the first calculated detection threshold and outputting a first comparison result; and means for comparing the calculated ratio with the second calculated detection threshold and outputting a second comparison result; and wherein said outputting of the comparison result by the comparing means outputs the comparison result using both said first and second comparison results.
Claim 19
Dependent Claim
57 words
An apparatus according to claim 14, further comprising: white noise determination means for determining if said noise signal is a white noise signal, connected to the first energy determination means; conversion means, connected to said white noise determination means and said first energy detection means, for converting said noise signal to a noise signal containing white noise.
Claim 20
Dependent Claim
40 words
An apparatus according to claim 14, wherein: said first energy determination means determines the energy of the noise signal over N sampling slices; and said second energy determination means determines the energy of the audio signal over M sampling slices.
Claim 21
Dependent Claim
56 words
An apparatus according to claim 17, wherein: the means for calculating the detection threshold calculates the detection threshold for: ##EQU24## where r 0 is an expected signal to noise ratio, k=M/N, π 0 is a probability of an absence of the useful signal, and π 1 is a probability of a presence of the useful signal.
Claim 22
Dependent Claim
56 words
An apparatus according to claim 17, wherein: the means for calculating the detection threshold calculates the detection threshold for: ##EQU25## where r 0 is an expected signal to noise ratio, k=M/N, π 0 is a probability of an absence of the useful signal, and π 1 is a probability of a presence of the useful signal.
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