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Uses of the pitch-scaled harmonic filter in speech processing by Philip Jackson * and Christine Shadle † *School of Electronic and Electrical Engineering, University of Birmingham †Department of Electronics and Computer Science, University of Southampton
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Prologue Much Ado About Nothing (Act 2) Balthasar: “Note this before my notes: There’s not a note of mine that’s worth the noting.”
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Pitch-scaled harmonic filter Developed to study turbulence noise during voicing Many potential speech applications: coding analysis perception recognition
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Spectral smearing Effect of rectangular windowing
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Spectral smearing Effect of Hann windowing
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Minimising spectral smearing Influence of negative frequencies
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Minimising spectral smearing Influence of higher harmonics
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Interpolation: Harmonic filter: Decomposition
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PSHF decomposition
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Performance measure Change in Signal-to-Error Ratio: Synthesis: where
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Evaluation - HNR periodic aperiodic
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Evaluation (periodic) +10 dB
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Evaluation (aperiodic) +10 dB
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Time series for /ax-v:/
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Short-time power for /ax-v:/
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Power spectra for /v:/ F0F1F2F3
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LPC spectra for /v:/ F0F1F2F3
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MFCC spectra for /v:/ LPCMFCC F0F1F2F3F0F1F2F3
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Power spectra for /zh:/ F2
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Fricative spectra for /zh:/ F2
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LPC spectra for /zh:/ MFCCLPC Z1
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Summary Pitch-scaled harmonic filter: –Benefits of pitch scaling –Case for interpolation –Periodic + aperiodic for TD and FD –Evaluated on synthetic speech Applied to real data: –Time series –Power spectra –Short-time power –LPC –MFCC
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Epilogue Much Ado About Nothing (Act 2) Balthasar: “Then sigh not so, but let them go, And be you blithe and bonny; Converting all your sounds of woe Into Hey nonny nonny [aka. HNNs].”
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