Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Multimodal Human-Robot Interaction from the Perspective of a Speech Scientist Read chapter Read first chapter

2015 | OriginalPaper | Chapter

SNR Estimation Based on Adaptive Signal Decomposition for Quality Evaluation of Speech Enhancement Algorithms

Authors : Sergei Aleinik, Mikhail Stolbov

Published in: Speech and Computer

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper presents a new method for estimating signal-to-noise ratio based on adaptive signal decomposition. Statistical simulation shows that the proposed method has lower variance and bias than the known signal-to-noise ratio measures. We discuss the parameters and characteristics of the proposed method and its practical implementation.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Semantic Multilingual Differences of Terminological Definitions Regarding the Concept “Artificial Intelligence”
next chapter Sociolinguistic Factors in Text-Based Sentence Boundary Detection
Literature
1.
2.
Abad, A., Hernando, J.: Speech enhancement and recognition by integrating adaptive beamforming and wiener filtering. In: INTERSPEECH, pp. 2657–2660
3.
Bitzer, J., Brandt, M.: Speech enhancement by adaptive noise cancellation: problems, algorithms, and limits. In: Audio Engineering Society Conference: 39th International Conference: Audio Forensics: Practices and Challenges. Audio Engineering Society (2010)
4.
Borisovich, S.M., Vladimirovich, A.S.: Improvement of microphone array characteristics for speech capturing. Modern Appl. Sci. 9(6), p. 310 (2015)CrossRef
5.
Grundlehner, B., Lecocq, J., Balan, R., Rosca, J.: Performance assessment method for speech enhancement systems. In: Proceedings of 1st Annual IEEE BENELUX/DSP Valley Signal Process Symposium (2005)
6.
Hansen, J.H., Pellom, B.L.: An effective quality evaluation protocol for speech enhancement algorithms. In: ICSLP, vol. 7, pp. 2819–2822. Citeseer (1998)
7.
Kieser, R., Reynisson, P., Mulligan, T.J.: Definition of signal-to-noise ratio and its critical role in split-beam measurements. ICES J. Marine Sci.: J. du Conseil 62(1), 123–130 (2005)CrossRef
8.
Kondo, K.: Subjective Quality Measurement of Speech: Its Evaluation, Estimation and Applications. Springer, Heidelberg (2012)CrossRef
9.
Martin, R.: An efficient algorithm to estimate the instantaneous snr of speech signals. Eurospeech. 93, 1093–1096 (1993)
10.
Mattila, V.: Objective measures for the characterization of the basic functioning of noise suppression algorithms. In: Proceedings of Online Workshop Measurement Speech Audio Quality Networks (2003)
11.
Nomura, Y., Lu, J., Sekiya, H., Yahagi, T.: Spectral subtraction based on speech/noise-dominant classification. In: International Workshop on Acoustic Echo and Noise Control (IWAENC2003), pp. 127–130 (2003)
12.
Plapous, C., Marro, C., Scalart, P.: Improved signal-to-noise ratio estimation for speech enhancement. IEEE Transact. Audio Speech Lang. Process. 14(6), 2098–2108 (2006)CrossRef
13.
Stolbov, M.: Algorithm of signal-to-noise estimation of speech signals. Izvestiya VUZ. Proborostroenye 6(82), 67–72 (2012)
14.
Stolbov, M., Aleinik, S.: Speech enhancement with microphone array using frequency-domain alignment technique. In: Audio Engineering Society Conference: 54th International Conference: Audio Forensics. Audio Engineering Society (2014)
15.
Vaseghi, S.: Advanced Digital Signal Processing and Noise Reduction, 2nd edn. Wiley, Chichester (2000)
16.
Vondrášek, M., Pollak, P.: Methods for speech snr estimation: evaluation tool and analysis of vad dependency. Radioengineering 14(1), 6–11 (2005)
17.
Widrow, B., Stearns, S.D.: Adaptive signal processing, vol. 1, p. 491. Prentice-Hall Inc., Englewood Cliffs (1985)MATH
Metadata
Title
SNR Estimation Based on Adaptive Signal Decomposition for Quality Evaluation of Speech Enhancement Algorithms
Authors
Sergei Aleinik
Mikhail Stolbov
Copyright Year
2015
Book
Speech and Computer

Print ISBN: 978-3-319-23131-0

Electronic ISBN: 978-3-319-23132-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-23132-7_45

Premium Partner

    Image Credits