scholarly journals Acoustic Echo Suppression Using Speech Uncertainty In Modulation Domain

2021 ◽  
Author(s):  
Muhammed Shifas PV ◽  
Jayakumar EP ◽  
Sathidevi PS
Keyword(s):  
Speech Processing ◽  
State Of The Art ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Echo Cancellation ◽  
Gain Function ◽  
Modulation Spectrum ◽  
Acoustic Echo ◽  
Modulation Domain ◽  
Echo Suppression

<div><div><div><p>Quality degradation of near-end speech in mobile communication or hands free devices is mainly due to acoustic echoes and background noises. The received far-end speech gets reflected from the obstacles present in the surroundings creating acoustic echo. All other disturbances from the near-end environment are considered as background noises. A novel acoustic echo suppression scheme using speech uncertainty in modulation domain (MD) is proposed in this paper. State of the art acoustic echo suppression systems are based on either time domain or frequency domain analysis. In recent times, the modulation domain analysis is popularly used in speech processing, as it captures the human perceptual properties. Modulation domain provides the temporal variation of the acoustic magnitude spectra which acts as an information bearing signal. In this paper, a new method is developed and implemented to model the echo path and estimate the echo in modulation domain. Echo cancellation is done effectively by manipulating the modulation spectrum and employing speech uncertainty. In this method, the microphone input is modelled as a binary hypothesis process and the gain function is modified accordingly. The proposed method shows better performance as compared to other competitive methods for acoustic echo suppression with no audible degradation in the near-end speech. <br></p></div></div></div>

scholarly journals Acoustic Echo Suppression Using Speech Uncertainty In Modulation Domain

2021 ◽  
Author(s):  
Muhammed PV Shifas ◽  
Jayakumar EP ◽  
Sathidevi PS
Keyword(s):  
Speech Processing ◽  
State Of The Art ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Echo Cancellation ◽  
Gain Function ◽  
Modulation Spectrum ◽  
Acoustic Echo ◽  
Modulation Domain ◽  
Echo Suppression

<div><div><div><p>Quality degradation of near-end speech in mobile communication or hands free devices is mainly due to acoustic echoes and background noises. The received far-end speech gets reflected from the obstacles present in the surroundings creating acoustic echo. All other disturbances from the near-end environment are considered as background noises. A novel acoustic echo suppression scheme using speech uncertainty in modulation domain (MD) is proposed in this paper. State of the art acoustic echo suppression systems are based on either time domain or frequency domain analysis. In recent times, the modulation domain analysis is popularly used in speech processing, as it captures the human perceptual properties. Modulation domain provides the temporal variation of the acoustic magnitude spectra which acts as an information bearing signal. In this paper, a new method is developed and implemented to model the echo path and estimate the echo in modulation domain. Echo cancellation is done effectively by manipulating the modulation spectrum and employing speech uncertainty. In this method, the microphone input is modelled as a binary hypothesis process and the gain function is modified accordingly. The proposed method shows better performance as compared to other competitive methods for acoustic echo suppression with no audible degradation in the near-end speech. <br></p></div></div></div>

scholarly journals Acoustic Echo Suppression Using Speech Uncertainty In Modulation Domain

2021 ◽  
Author(s):  
Muhammed Shifas PV ◽  
Jayakumar EP ◽  
Sathidevi PS
Keyword(s):  
Speech Processing ◽  
State Of The Art ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Echo Cancellation ◽  
Gain Function ◽  
Modulation Spectrum ◽  
Acoustic Echo ◽  
Modulation Domain ◽  
Echo Suppression

<div><div><div><p>Quality degradation of near-end speech in mobile communication or hands free devices is mainly due to acoustic echoes and background noises. The received far-end speech gets reflected from the obstacles present in the surroundings creating acoustic echo. All other disturbances from the near-end environment are considered as background noises. A novel acoustic echo suppression scheme using speech uncertainty in modulation domain (MD) is proposed in this paper. State of the art acoustic echo suppression systems are based on either time domain or frequency domain analysis. In recent times, the modulation domain analysis is popularly used in speech processing, as it captures the human perceptual properties. Modulation domain provides the temporal variation of the acoustic magnitude spectra which acts as an information bearing signal. In this paper, a new method is developed and implemented to model the echo path and estimate the echo in modulation domain. Echo cancellation is done effectively by manipulating the modulation spectrum and employing speech uncertainty. In this method, the microphone input is modelled as a binary hypothesis process and the gain function is modified accordingly. The proposed method shows better performance as compared to other competitive methods for acoustic echo suppression with no audible degradation in the near-end speech. <br></p></div></div></div>

scholarly journals Acoustic Echo Suppression Using Speech Uncertainty In Modulation Domain

2021 ◽  
Author(s):  
Muhammed Shifas PV ◽  
Jayakumar EP ◽  
Sathidevi PS
Keyword(s):  
Speech Processing ◽  
State Of The Art ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Echo Cancellation ◽  
Gain Function ◽  
Modulation Spectrum ◽  
Acoustic Echo ◽  
Modulation Domain ◽  
Echo Suppression

<div><div><div><p>Quality degradation of near end speech in mobile communication or hands free devices is mainly due to acoustic echoes and background noises. The received far-end speech gets reflected from the obstacles present in the surroundings creating acoustic echo. All other disturbances from the near end environment are considered as background noises. A novel acoustic echo suppression scheme using speech uncertainty in modulation domain (MD) is proposed in this paper. State of the art acoustic echo suppression systems are based on either time domain or frequency domain analysis. In recent times, the modulation domain analysis is popularly used in speech processing, as it captures the human perceptual properties. Modulation domain provides the temporal variation of the acoustic magnitude spectra which acts as an information bearing signal. In this paper, a new method is developed and implemented to model the echo path and estimate the echo in modulation domain. Echo cancellation is done effectively by manipulating the modulation spectrum and employing speech uncertainty. In this method, the microphone input is modelled as a binary hypothesis process and the gain function is modified accordingly. The proposed method shows better performance as compared to other competitive methods for acoustic echo suppression with no audible degradation in the near end speech.</p><p><br></p></div></div></div>

State of the Art in Acoustic Echo Cancellation

1996 ◽  
pp. 45-91 ◽  
Author(s):  
André Gilloire ◽  
Eric Moulines ◽  
Dirk Slock ◽  
Pierre Duhamel
Keyword(s):  
State Of The Art ◽  
Echo Cancellation ◽  
Acoustic Echo Cancellation ◽  
Acoustic Echo

Application of ultra‐precise GRACE Follow-On LRI measurements for validation of the state-of-the-art static gravity field models and examination of sub-monthly time-variable gravity signals

2020 ◽  
Author(s):  
Khosro Ghobadi Far ◽  
Shin-Chan Han ◽  
Jeanne Sauber ◽  
Richard Ray ◽  
Christopher M. McCullough ◽  
...  
Keyword(s):  
Gravity Field ◽  
High Frequency ◽  
State Of The Art ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
The State ◽  
Gravity Change ◽  
Gravity Field Model ◽  
Gravity Field Models

&lt;p&gt;The test Laser ranging interferometer (LRI) on the GRACE Follow-On satellites provides complementary inter-satellite ranging measurements to the baseline K-band microwave ranging (KBR) system that can be used to examine standard, and create novel, GRACE-FO data products. &amp;#160;We first calculated the KBR and LRI inter-satellite ranging residuals using dynamic orbits computed from non-gravitational accelerations, a static gravity field model and other background geophysical models like ocean tides. To accurately quantify the improvement by LRI, we directly examined the inter-satellite ranging residuals in the time and frequency domains. The frequency-domain analysis reveals that LRI enhances the accuracy of gravity measurements by ~1 order of magnitude over 60-200 CPR (10-37 mHz) frequencies with the signal dominated by static gravity field of the Earth. The time-domain analysis shows that LRI is capable of detecting static gravity signals as small as a few 0.1 nm/s&lt;sup&gt;2&lt;/sup&gt; in 100-200 CPR frequency band. We made use of such LRI data acquired in 2019 to validate the state-of-the-art gravity field models GGM05S, GGM05C, GOCE-TIM-R6e, EIGEN-6C4, ITSG-Grace2018s and GOCO06s. We found that LRI data can identify subtle un-/mis-modeled static gravity signals in these models in the spectral as well as spatial domains, and thus, suggest how the next generation of gravity field models could be improved. We also examined the high&amp;#8208;frequency (sub-monthly) variations of the Argentine Gyre using LRI measurements along with satellite altimetry data. Through comparison of measured gravity change by LRI with synthetic gravity change from altimetry sea surface data (evaluated at GRACE Follow-On altitude), we clearly demonstrate how the high-frequency Argentine Gyre signal is fully captured by instantaneous LRI measurements by individual data arcs, but not in the monthly mean Level-2 data. Such along-orbit analyses of LRI data could be employed for, among others, validation of high-frequency non-tidal ocean models used in GRACE and GRACE Follow-On de-aliasing products.&lt;/p&gt; &lt;p&gt;&amp;#160;&lt;/p&gt;

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