Gebr. Canonical Correlation Analysis in Speech Enhancement (SpringerBriefs in Electrical and Computer Engineering)
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| Preise | 2017 | 2018 | 2019 |
|---|---|---|---|
| Schnitt | € 49,24 | € 89,49 | € 53,26 |
| Nachfrage |
1
Canonical Correlation Analysis in Speech Enhancement (SpringerBriefs in Electrical and Computer Engineering) (2017)
EN PB NW FEISBN: 9783319670195 bzw. 3319670190, in Englisch, 121 Seiten, Springer, Taschenbuch, neu, Erstausgabe.
חדש מ: $54.95 (22 הצעות)
בשימוש מתוך: $56.17 (5 הצעות)
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Von Händler/Antiquariat, ---SuperBookDeals.
This book focuses on the application of canonical correlation analysis (CCA) to speech enhancement using the filtering approach. The authors explain how to derive different classes of time-domain and time-frequency-domain noise reduction filters, which are optimal from the CCA perspective for both single-channel and multichannel speech enhancement. Enhancement of noisy speech has been a challenging problem for many researchers over the past few decades and remains an active research area. Typically, speech enhancement algorithms operate in the short-time Fourier transform (STFT) domain, where the clean speech spectral coefficients are estimated using a multiplicative gain function. A filtering approach, which can be performed in the time domain or in the subband domain, obtains an estimate of the clean speech sample at every time instant or time-frequency bin by applying a filtering vector to the noisy speech vector. Compared to the multiplicative gain approach, the filtering approach more naturally takes into account the correlation of the speech signal in adjacent time frames. In this study, the authors pursue the filtering approach and show how to apply CCA to the speech enhancement problem. They also address the problem of adaptive beamforming from the CCA perspective, and show that the well-known Wiener and minimum variance distortionless response (MVDR) beamformers are particular cases of a general class of CCA-based adaptive beamformers., Paperback, מהדורה: 1st ed. 2018, תווית: Springer, Springer, קבוצת המוצרים: Book, לאור: 2017-09-02, תאריך שחרור: 2017-09-11, סטודיו: Springer, דרגה מכירות: 9266693.
Von Händler/Antiquariat, ---SuperBookDeals.
This book focuses on the application of canonical correlation analysis (CCA) to speech enhancement using the filtering approach. The authors explain how to derive different classes of time-domain and time-frequency-domain noise reduction filters, which are optimal from the CCA perspective for both single-channel and multichannel speech enhancement. Enhancement of noisy speech has been a challenging problem for many researchers over the past few decades and remains an active research area. Typically, speech enhancement algorithms operate in the short-time Fourier transform (STFT) domain, where the clean speech spectral coefficients are estimated using a multiplicative gain function. A filtering approach, which can be performed in the time domain or in the subband domain, obtains an estimate of the clean speech sample at every time instant or time-frequency bin by applying a filtering vector to the noisy speech vector. Compared to the multiplicative gain approach, the filtering approach more naturally takes into account the correlation of the speech signal in adjacent time frames. In this study, the authors pursue the filtering approach and show how to apply CCA to the speech enhancement problem. They also address the problem of adaptive beamforming from the CCA perspective, and show that the well-known Wiener and minimum variance distortionless response (MVDR) beamformers are particular cases of a general class of CCA-based adaptive beamformers., Paperback, מהדורה: 1st ed. 2018, תווית: Springer, Springer, קבוצת המוצרים: Book, לאור: 2017-09-02, תאריך שחרור: 2017-09-11, סטודיו: Springer, דרגה מכירות: 9266693.
2
Canonical Correlation Analysis in Speech Enhancement
DE PB NWISBN: 9783319670195 bzw. 3319670190, in Deutsch, Springer Shop, Taschenbuch, neu.
Lieferung aus: Mexiko, Lagernd, zzgl. Versandkosten.
This book focuses on the application of canonical correlation analysis (CCA) to speech enhancement using the filtering approach. The authors explain how to derive different classes of time-domain and time-frequency-domain noise reduction filters, which are optimal from the CCA perspective for both single-channel and multichannel speech enhancement. Enhancement of noisy speech has been a challenging problem for many researchers over the past few decades and remains an active research area. Typically, speech enhancement algorithms operate in the short-time Fourier transform (STFT) domain, where the clean speech spectral coefficients are estimated using a multiplicative gain function. A filtering approach, which can be performed in the time domain or in the subband domain, obtains an estimate of the clean speech sample at every time instant or time-frequency bin by applying a filtering vector to the noisy speech vector. Compared to the multiplicative gain approach, the filtering approach more naturally takes into account the correlation of the speech signal in adjacent time frames. In this study, the authors pursue the filtering approach and show how to apply CCA to the speech enhancement problem. They also address the problem of adaptive beamforming from the CCA perspective, and show that the well-known Wiener and minimum variance distortionless response (MVDR) beamformers are particular cases of a general class of CCA-based adaptive beamformers. Soft cover.
This book focuses on the application of canonical correlation analysis (CCA) to speech enhancement using the filtering approach. The authors explain how to derive different classes of time-domain and time-frequency-domain noise reduction filters, which are optimal from the CCA perspective for both single-channel and multichannel speech enhancement. Enhancement of noisy speech has been a challenging problem for many researchers over the past few decades and remains an active research area. Typically, speech enhancement algorithms operate in the short-time Fourier transform (STFT) domain, where the clean speech spectral coefficients are estimated using a multiplicative gain function. A filtering approach, which can be performed in the time domain or in the subband domain, obtains an estimate of the clean speech sample at every time instant or time-frequency bin by applying a filtering vector to the noisy speech vector. Compared to the multiplicative gain approach, the filtering approach more naturally takes into account the correlation of the speech signal in adjacent time frames. In this study, the authors pursue the filtering approach and show how to apply CCA to the speech enhancement problem. They also address the problem of adaptive beamforming from the CCA perspective, and show that the well-known Wiener and minimum variance distortionless response (MVDR) beamformers are particular cases of a general class of CCA-based adaptive beamformers. Soft cover.
3
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Canonical Correlation Analysis in Speech Enhancement (SpringerBriefs in Electrical and Computer Engineering) (2017)
DE USISBN: 9783319670195 bzw. 3319670190, in Deutsch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, עלויות המשלוח כדי: ISR.
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2017-09-02. Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!
Von Händler/Antiquariat, Books Express.
2017-09-02. Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!
4
Canonical Correlation Analysis in Speech Enhancement (SpringerBriefs in Electrical and Computer Engineering) (2017)
EN PB NW FEISBN: 9783319670195 bzw. 3319670190, in Englisch, 132 Seiten, Springer, Taschenbuch, neu, Erstausgabe.
חדש מ: £41.04 (17 הצעות)
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5
Canonical Correlation Analysis in Speech Enhancement (SpringerBriefs in Electrical and Computer Engineering) (2017)
EN PB US FEISBN: 9783319670195 bzw. 3319670190, in Englisch, 132 Seiten, Springer, Taschenbuch, gebraucht, Erstausgabe.
חדש מ: £41.04 (17 הצעות)
בשימוש מתוך: £70.68 (1 הצעות)
הצעות יותר הצג 18 מתוך Amazon.co.uk
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Usually dispatched within 2-3 business days, בתוספת משלוח (אם נשלח).
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6
Canonical Correlation Analysis in Speech Enhancement (SpringerBriefs in Electrical and Computer Engineering) (2017)
EN PB NW FEISBN: 9783319670195 bzw. 3319670190, in Englisch, 132 Seiten, Springer, Taschenbuch, neu, Erstausgabe.
חדש מ: £41.04 (17 הצעות)
בשימוש מתוך: £70.68 (1 הצעות)
הצעות יותר הצג 18 מתוך Amazon.co.uk
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Usually dispatched within 24 hours.
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8
Canonical Correlation Analysis in Speech Enhancement (2017)
DE NWISBN: 3319670190 bzw. 9783319670195, in Deutsch, Springer-Verlag GmbH; Springer International Publishing AG, neu.
Von Händler/Antiquariat, MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien.
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