Speech Enhancement using Bolls Spectral Subtraction Method

Prof. S.China Venkateswarlu
Prof. S.China Venkateswarlu
A.Subba Rami Reddy
A.Subba Rami Reddy
K.Satya Prasad
K.Satya Prasad
Jawaharlal Nehru Technological University, Hyderabad

Send Message

To: Author

Speech Enhancement using Bolls Spectral Subtraction Method

Article Fingerprint

ReserarchID

45C24

Speech Enhancement using Bolls Spectral Subtraction Method Banner

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Font Type
Font Size
Font Size
Bedground

Abstract

This paper investigates the effect of Gaussian window frequency response Side lobe Attenuation on the improvement of Speech quality in terms of six objective quality measures. In Speech Enhancement process, signal corrupted by noise is segmented into frames and each segment is Windowed using Gaussian window with variation in the side lobe attenuation parameter “α”. The Windowed Speech segments are applied to the Boll’s Spectral Subtraction Speech Enhancement algorithm and the Enhanced Speech signal is reconstructed in its time domain. The focus is to investigate the effect of Gaussian window frequency response side lobe level on the Boll’s Spectral Subtraction Speech enhancement. For various side lobe attenuations of the Gaussian window frequency response, speech quality objective measures have been computed. From this study, it is observed that the Side lobe Attenuation parameter “α” plays an important role on the Speech enhancement process in terms of six objective quality measures. The results are compared with the measures of Hamming window and an optimum side lobe attenuation parameter value for the Gaussian window is proposed for better speech quality.

References

24 Cites in Article
  1. J Lim,A Oppenheim (1979). Enhancement and bandwidth compression of noisy speech.
  2. P Loizou (2007). Speech Enhancement: Theory and Practice.
  3. Boll (1979). Suppression of acoustic noise in speech using spectral subtraction.
  4. A Kandoz (2002). MATHEMATICS: A Second Start, 2 nd edition.
  5. Y Hu,P Loizou (2008). Evaluation of objective measures for speech enhancement.
  6. S Mitra (2002). Digital signal processing: A computer based approach.
  7. V Oppenheim,Ronald Schafer (1998). Digital Signal Processing. A. V. Oppenheim und R. W. Schafer Prentice Hall Inc., Englewood Cliffe, New Jersey (1975), 585 Seiten, $ 21.95.
  8. F Harris (1978). On the use of windows for harmonic analysis with the discrete Fourier transform.
  9. J Kaiser (1974). Nonrecursive digital filter design using I0-sinh window function.
  10. T Saram¨ki (1989). A class of window functions with nearly minimum side lobe energy for designing FIR filters.
  11. C Dolph (1946). A Current Distribution for Broadside Arrays Which Optimizes the Relationship between Beam Width and Side-Lobe Level.
  12. T Saram¨ki (1993). Finite impulse response filter design.
  13. L Rabiner,J Mcclellan,T Parks (1975). FIR digital filter design techniques using weighted Chebyshev approximation.
  14. R Streit (1984). A two-parameter family of weights for nonrecursive digital filters and antennas.
  15. A Deczky (2001). Unispherical windows.
  16. T Saram¨ki (1989). A class of window functions with nearly minimum side lobe energy for designing FIR filters.
  17. W Stuart,Andreas Bergen,Antoniou (2004). Design of Ultraspherical Window Functions with Prescribed Spectral Characteristics.
  18. Kuldip Paliwal,Kamil Wojcicki (2008). Effect of Analysis Window Duration on Speech Intelligibility.
  19. D Klatt (1982). Prediction of perceived phonetic distance from critical-band spectra: A first step.
  20. T Quackenbush,M Barnwell,Clements (1988). objective measures of speech quality.
  21. P Krishnamoorthy (2011). An Overview of Subjective and Objective Quality Measures for Noisy Speech Enhancement Algorithms.
  22. B Sim,Y Tong,Chang Tan,C (1998). A parametric formulation of the generalized spectral subtraction method.
  23. Saeed Vaseghi (2000). Advanced Digital Signal Processing and Noise Reduction.
  24. Philipos Loizou,Gibak Kim (2011). Reasons why Current Speech-Enhancement Algorithms do not Improve Speech Intelligibility and Suggested Solutions.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Prof. S.China Venkateswarlu. 2014. \u201cSpeech Enhancement using Bolls Spectral Subtraction Method\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 14 (GJRE Volume 14 Issue F6).

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Version of record

v1.2

Issue date
August 16, 2014

Language
en
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 4619
Total Downloads: 2352
2026 Trends
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Speech Enhancement using Bolls Spectral Subtraction Method

S.China Venkateswarlu
S.China Venkateswarlu <p>Adama Science and Technology University</p>
A.Subba Rami Reddy
A.Subba Rami Reddy
K.Satya Prasad
K.Satya Prasad

Research Journals