Coherent Envelope Detection for Modulation Filtering of Speech

Schimmel, Steven M.; Atlas, Les

doi:10.1109/icassp.2005.1415090

Cited by 45 publications

(27 citation statements)

References 13 publications

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“…over 32), envelope cues may be introduced to the TFS component by filter ringing artefacts (Wang et al, 2011;Zeng et al, 2004). Envelope cues may also be reconstructed within the auditory system at the output of auditory filters (Ghitza, 2001;Heinz and Swaminathan, 2009;Schimmel and Atlas, 2005). However, this study tests the hypothesis that amusics use envelope cues to perceive pitch even when TFS cues are available, and as such a significant difference between the response of controls and amusics remains informative.…”

Section: Speech-speech Chimeramentioning

confidence: 58%

Congenital amusics use a secondary pitch mechanism to identify lexical tones

Bones

Wong

2017

Neuropsychologia

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Section: Speech-speech Chimeramentioning

confidence: 58%

Congenital amusics use a secondary pitch mechanism to identify lexical tones

Bones

Wong

2017

Neuropsychologia

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“…time ( To assess the performance of such AM-FM decompositions, we follow a scenario by a modulation filtering projection test as on [18,19]. The performance test compares the filtered AM modulating signal [] [18,19].…”

Section: B Coherent Modulation Performancesmentioning

confidence: 99%

“…The performance test compares the filtered AM modulating signal [] [18,19]. The modulation transfer function is to calculate the filter effectiveness from the AM-FM decomposition.…”

Section: B Coherent Modulation Performancesmentioning

confidence: 99%

Coherent Modulation Analysis of Photoplethysmographic Signal s by Time -varying Filterbank

Mengko¹,

Muhaimin²,

Mengko³

2017

ijeei

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In spite of its usefulness to early detect cardiovascular disease, photoplethysmographic (PPG) signals are prone to motion artifacts due to its typical measurement locations. These artifacts consequently affect the reliability of systolic peak detection-based PPG parameter calculations. In this paper, the PPG signals are modeled by a small number (3 to 6) of Amplitude-Frequency Modulation (AM-FM) modulated signals such that the synthesis signal preserves its harmonics structure in time-frequency domain. We propose a coherent AM modulating signal detection by which the filterbank tracks Instantaneous Frequency (IF) of each harmonic component. This time-varying filterbank method offers bandwidth preservation of the AM components. Furthermore, the experimental results show that motion artifact (MA) noise reference for the input of the adaptive filter is generated from the corrupted PPG signal itself by using one of applications of our method.

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“…We measure the effective modulation filter response with the assessment technique described in [8]. The idea behind the method is as follows: we determine the modulation spectrograms of the signal before and after modulation filtering, and compute their ratio.…”

Section: Effective Modulation Filter Responsementioning

confidence: 99%

Analysis of signal reconstruction after modulation filtering

Schimmel

Atlas

2005

Advanced Signal Processing Algorithms, Architectures, and Implementations XV

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When the short-time Fourier transform (STFT) of an audio signal is arbitrarily modified, it no longer truly represents a time-domain signal. Classically, the accepted solution to obtain a time-domain signal from a modified STFT (MSTFT) is to invert the MSTFT to a time-domain signal that has an STFT that is closest to the MSTFT in a least squares sense. This is also the approach currently taken by our modulation filtering techniques. However, it was never established that using the original and unmodified STFT phase in this reconstruction is optimal for modulation filtering. In this paper, we compare our signal reconstruction approach to a well-known iterative procedure that approximates a time-domain signal using only the STFT magnitude. We analyze the signal reconstruction of speech signals after filtering them with low-pass, band-pass and high-pass modulation filters. Our study shows that the iterative procedure yields quantitatively and qualitatively comparable signals at significantly higher computational cost. It therefore does not seem a worthwhile alternative to our current reconstruction technique, but it may prove useful for IIR modulation filtering.

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Coherent Envelope Detection for Modulation Filtering of Speech

Cited by 45 publications

References 13 publications

Congenital amusics use a secondary pitch mechanism to identify lexical tones

Congenital amusics use a secondary pitch mechanism to identify lexical tones

Coherent Modulation Analysis of Photoplethysmographic Signal s by Time -varying Filterbank

Analysis of signal reconstruction after modulation filtering

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