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Spectral modeling synthesis (SMS) is an acoustic modeling approach for speech and other signals.SMS considers sounds as a combination of harmonic content and noise content. Harmonic components are identified based on peaks in the frequency spectrum of the signal, normally as found by the short-time Fourier transform. The signal that remains following removal of the spectral components, sometimes referred to as the residual, is then modeled as white noise passed through a time-varying filter. The output of the model, then, are the frequencies and levels of the detected harmonic components and the coefficients of the time-varying filter.

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  • Spectral modeling synthesis
  • Spectral modeling synthesis
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  • Spectral modeling synthesis (SMS; スペクトラルモデリング合成) とは、音声や他の信号のための音響モデリング手法である。 SMSは音を 調波成分 と 残余成分 (非調波成分; ノイズ成分) の組合せとして捉える。 * 調波成分は信号の周波数スペクトラム・ピークで識別され、通常は短時間フーリエ変換 (STFT)で抽出される ()。 * 残余成分、すなわち信号から調波成分を差し引いた残余は、時変フィルタを通したホワイトノイズ でモデリングされる (ソース・フィルタモデル)。 モデル全体の出力は、抽出した調波成分の周波数と振幅の組 ()、および、時変フィルタ係数 (線形予測係数 (LPC) 等) である。 このモデルは直観的に多くのタイプのオーディオ信号に適用できる。例えば音声信号は、声帯振動で生じるゆっくり変化する調波音と、唇や口で生じる広帯域ノイズ状音を含む。同様に楽器も、調波成分と、ノートの発音/変更時に生じるノイズ状音の両方を発する。
  • Spectral modeling synthesis (SMS) is an acoustic modeling approach for speech and other signals.SMS considers sounds as a combination of harmonic content and noise content. Harmonic components are identified based on peaks in the frequency spectrum of the signal, normally as found by the short-time Fourier transform. The signal that remains following removal of the spectral components, sometimes referred to as the residual, is then modeled as white noise passed through a time-varying filter. The output of the model, then, are the frequencies and levels of the detected harmonic components and the coefficients of the time-varying filter.
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  • Spectral modeling synthesis (SMS; スペクトラルモデリング合成) とは、音声や他の信号のための音響モデリング手法である。 SMSは音を 調波成分 と 残余成分 (非調波成分; ノイズ成分) の組合せとして捉える。 * 調波成分は信号の周波数スペクトラム・ピークで識別され、通常は短時間フーリエ変換 (STFT)で抽出される ()。 * 残余成分、すなわち信号から調波成分を差し引いた残余は、時変フィルタを通したホワイトノイズ でモデリングされる (ソース・フィルタモデル)。 モデル全体の出力は、抽出した調波成分の周波数と振幅の組 ()、および、時変フィルタ係数 (線形予測係数 (LPC) 等) である。 このモデルは直観的に多くのタイプのオーディオ信号に適用できる。例えば音声信号は、声帯振動で生じるゆっくり変化する調波音と、唇や口で生じる広帯域ノイズ状音を含む。同様に楽器も、調波成分と、ノートの発音/変更時に生じるノイズ状音の両方を発する。
  • Spectral modeling synthesis (SMS) is an acoustic modeling approach for speech and other signals.SMS considers sounds as a combination of harmonic content and noise content. Harmonic components are identified based on peaks in the frequency spectrum of the signal, normally as found by the short-time Fourier transform. The signal that remains following removal of the spectral components, sometimes referred to as the residual, is then modeled as white noise passed through a time-varying filter. The output of the model, then, are the frequencies and levels of the detected harmonic components and the coefficients of the time-varying filter. Intuitively, the model can be applied to many types of audio signals. Speech signals, for example, include slowly changing harmonic sounds caused by vibration of the vocal cords plus wideband, noise-like sounds caused by the lips and mouth. Musical instruments also produce sounds containing both harmonic components and percussive, noise-like sounds when the notes are struck or changed.
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