Skip to main content
Log in

Synthèse sur la réduction conjointe de bruit et d’écho pour lés systèmes mains-libres

An overview on noise and echo reduction in hands-free applications

  • Published:
Annales Des Télécommunications Aims and scope Submit manuscript

Résumé

Les télécommunications modernes s’éprennent de liberté et, dans ce paysage, les systèmes mains-libres proposent aux abounés de converser de manière plus naturelle, sans avoir à tenir un combiné. Ce nouvel usage entraîne des problèmes jusqu ’alors négligeables en téléphonie classique : la superposition de bruit et d’écho, souvent très énergétiques, sur le signal de parole. Afin de pallier ces problèmes et de fournir une qualité suffisante aux télécommunications, une réduction conjointe des perturbations, bruit et écho, est nécessaire. Cet article présente une synthèse des solutions retenues pour cette double réduction dans le cadre déééééééééé’une prise de son mono-capteur et bi-capteurs.

Abstract

In the context of modern telecommunications, hands-free systems allow to talk in a more natural way, without handling a telephone. This leads to new problems which were negligible in classical telephony: the superposition of energetic noise and echo on the speech signal. To solve these problems and to provide a sufficient speech quality, a joint reduction of these perturbations is needed. This paper presents a synthesis of solutions retained to achieve this reduction in the context of mono-channel and two-channel observations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Références

  1. Akbari (A.), Rehaussement de la parole en ambiance bruitée, Application aux télécommunications mainslibres,Thése de I’Université de Rennes 1, (1995).

  2. Akbari (A.), Le Bouquin-Jeannes (R.), Faucon (G.). Speech enhancement using a Wiener filtering under signal presence uncertainty,Proc. EUSIPCO, Trieste, Italy, (1996), pp. 971–974.

  3. Ayad (B.), Faucon (G.), Acoustic echo and noise cancelling for hands-free communication systems,International Workshop on Acoustic Echo Control, Roros, Norway, (1995), pp. 48–51.

  4. Ayad (B.), Le Bouquin-Jeannes (R.), Faucon (G.), Acoustic echo and noise reduction : a novel approach.International Workshop on Acoustic Echo Control, London, United Kingdom, (1997), pp. 168–171.

  5. Ayad (B.), Systèmes combinés d’annulation d’écho acoustique et de réduction de bruit pour les terminaux mains-libres,Thèse de I’Université de Rennes 1, (1997).

  6. Beaugeant (C.), Turbin (V.), Scalart (P.), Gilloire (A.), New optimal filtering approaches for hands-free telecommunication terminals,Signal Processing, (1998),64, pp. 33–47.

    Article  MATH  Google Scholar 

  7. Beaugeant (C), Scalart (P.), Combined systems for noise reduction and echo cancellation,Proc. EUSIPCO, (1998), Rhodes, Greece, pp. 957-960.

  8. Beaugeant (C), Réduction de bruit et annulation d’écho pour les systèmes mobiles,Thèse de I’Université de Rennes 1, (1999).

  9. Benamar (A.), Étude et implémentation de la fonction de contrôle de l’écho acoustique pour la radiotéléphonie mains-libres,Thèse de I’Université de Paris-Sud, Orsay, (1996).

  10. Berouti (M.), Schwartz (R.), Makhoul (J.), Enhancement of speech corrupted by acoustic noise,Proc. ICASSP, (1979), Washington, United States, pp. 208–211.

  11. Boll (S.F.), Evaluation of two input speech dereverbera-tion techniques.IEEE Trans. ASSP, (1979),27, n° 2, pp. 113–120.

    Google Scholar 

  12. Capman (F.), Boudy (J.), Lockwood (P.), Acoustic echo cancellation and noise reduction in the frequency domain : a global optimization,Proc. EUSIPCO, Trieste, Italy, (1996), pp. 29–32.

  13. Clark (G.A.), Mitra (S.K.), Parker (S.R.), Block implementation of adaptive digital filters,IEEE Trans. ASSP, (1981),29, n° 3, pp. 744–752.

    MATH  Google Scholar 

  14. CrochiÈre (R.E.), Rabiner (L.R.), Multirate digital signal processing,Prentice Hall (1983).

  15. Dreiseitel (P.), Puder (H.), À combination of noise reduction and improved echo cancellation,International Workshop on Acoustic Echo Control, London, United Kingdom, (1997), pp. 180–183.

  16. Ephraim (Y), Malah (D.), Speech enhancement using a minimum mean square error short-time spectral amplitude estimator,IEEE Trans. ASSP, (1984),32, n° 6, pp. 1109–1121.

    Google Scholar 

  17. Erdreich (M.), Echo and its control in telecommunication networks, Commutation and transmission, (1981), 3e année,4. [or]FAU95] Faucon (G.), Le Bouquin-Jeannes (R.), Joint system for acoustic echo cancellation and noise reduction,Proc. EUROSPEECH, Madrid, Spain, (1995), pp. 1525-1528.

  18. Feder (M.), Oppenheim (A.V.), Weinstein (E.), Maximum likelihood noise cancellation using the EM algorithm,IEEE Trans. ASSP, (1989), 37, n° 2, pp. 204–216.

    Article  Google Scholar 

  19. Gilloire (A.), Zurcher (J.F.), Achieving the control of the acoustic echo in audio terminals,Proc. EUSIPCO, (1988), pp. 491-494.

  20. Guelou (Y), Benamar (A.), Scalart (P.), Analysis of two structures for combined acoustic echo cancellation and noise reduction,Proc. ICASSP, Atlanta, United States, (1996), pp. 637–640.

  21. Gustafsson (S.), Martin (R.), Vary (P.), Combined acoustic echo control and noise reduction for hands-free telephony,Signal Processing, (1998), 64, pp. 21–32.

  22. Gustafsson (S.), Jax (P.), Combined residual echo and noise reduction : a novel psychoacoustically motivated algorithm,Proc. EUSIPCO, Rhodes, Greece, (1998), pp. 961–964.

  23. Gustafsson (S.), Jax (P.), Kamphausen (A.), Vary (P.), A postfilter for echo and noise reduction avoiding the problem of musical tones,Proc. ICASSP, Phoenix, United States, (1999), n° 1281.

  24. Hänsler (E.), The hands-free telephone problem : an annotated bibliography update,Signal Processing, (1992), 27, pp. 259–271.

  25. Hänsler (E.), The hands-free telephone problem: an annotated bibliography update,Ann. Télécommunic, (1994), 49, n° 7–8, pp. 360–367.

    Google Scholar 

  26. Haykin (S.). Adaptive filter theory, Second Edition,Prentice-Hall, Englewood Cliffs, New Jersey, (1991). [ISO 92] ISO, projet de norme internationale ISO 11172-3 MPEG audio, London, United Kingdom (1992).

  27. Johnston (J.D.), Transform coding of audio signals using perceptual noise criteria,IEEE Journal on Selected Areas in Communication, (1988),6, n° 2, pp. 314–323.

    Article  Google Scholar 

  28. Kushner (W.M.), The effect of subtractive-type speech enhancement, noise reduction algorithms on parameter estimation for improved recognition and coding in high noise environments,Proc. ICASSP, San Diego, United States, (1989), pp. 211-214. LEB 96a]Le Bouquin-Jeannes (R.),Faucon (G.),Ayad (B.), How to improve acoustic echo and noise cancelling using a single talk detector,Speech Communication, (1996),20, pp. 191-202.

  29. Le Bouquin-Jeannes (R.), Faucon (G.), Ayad (B.), A two-microphone approach for speech enhancement in hands-free communications,International Conference on Communication Technology, Beijing, China, (1996), pp. 424–427.

  30. Lim (J.S.), Oppenheim (A.V.), Enhancement and bandwidth compression of noisy speech,Proceedings of the IEEE, (1979),67, pp. 1586–1604.

    Article  Google Scholar 

  31. Lim (J.S.), Speech enhancement,Prentice-Hall, Signal Processing series Alan V. Oppenheim, series Editor, Prentice-Hall, Inc., Englewood Cliffs, New Jersey 07632 (1983).

    Google Scholar 

  32. Lockwood (P.), Boudy (J.), Experiments with a nonlinear spectral subtractor (nss), hidden Markov models and the projection, for robust speech recognition in cars,Speech Communication, (1992),11, n° 2–3, pp. 215–228.

    Article  Google Scholar 

  33. Malah (D.), Cox (R.V.), Accardi (A.J.), Tracking speech-presence uncertainty to improve speech enhancement in non-stationnary noise environments,Proc. ICASSP, Phoenix, United States, (1999), #1761.

  34. Martin (R.), Combined acoustic echo cancellation, spectral echo shaping, and noise reduction,International Workshop on Acoustic Echo Control, Roros, Norway, (1995), pp. 48–51.

  35. Martin (R.), Altenhöner (J.), Coupled adaptive filters for acoustic echo control and noise reduction,Proc. ICASSP, Detroit, United States, (1995), pp. 3043–3046.

  36. Martin (R.) Design and optimization of a two microphone speech enhancement system,Proc. Eurospeech, Madrid, Spain, (1995), pp. 2009-2012.

  37. Martin (R.), Cox (R.V.), New speech enhancement techniques for low bit rate speech coding,IEEE Workshop on Speech Coding, Porvoo, Finland, (1999), pp. 165–167.

  38. Mokbel (C), Barbier (L.), Chollet (G.), Adapting a hmm speech recognizer to noisy environments,Workshop on Speech Processing in Adverse Conditions, Cannes, (1992), pp. 211–214.

  39. Moulines (E.), Ait Amrane (O.), Grenier (Y), The generalized multidelay adaptive filter: structure and convergence analysis,IEEE Trans, on Signal Processing,43, n° 1, (1995), pp. 14–28.

    Article  Google Scholar 

  40. Naylor (P.), Alcazar (J.), Boudy (J.), Grenier (Y), Enhancement of hands-free telecommunications,Ann. Télécommunic, (1994),49, n° 7-8, pp. 373–379.

    Google Scholar 

  41. Ozeki (K.), Umeda (T.), An adaptive algorithm using an orthogonal projection to an affine subspace and its properties,Electronics and Communications in Japan, (1984),67-A, n°5,pp. 19–25.

    MathSciNet  Google Scholar 

  42. Pétillon (T.), Réduction de la complexité des algorithmes des moindres carrés rapides. Applications à l’annulation d’écho acoustique pour les radiomobiles,Thése de I’ Université de Rennes 1 (1992).

  43. Prado (J.), Moulines (E.), Frequency-domain adaptive filtering with application to acoustic echo cancellation,Ann. Télécommunic. (1994),49, 7-8, pp. 414–428.

    MATH  Google Scholar 

  44. Scalart (P.), Benamar (A.), A system for speech enhancement in the context of hands-free radiotelephony with combined noise reduction and acoustic echo cancellation,Speech Communication, (1996),20, n° 3-4, pp. 203–214.

    Article  Google Scholar 

  45. Soo (J.S.), Pang (K.K.), Multidelay block frequency domain adaptive filter,IEEE Trans. ASSP, (1990),38, n° 2, pp. 373–376.

    Google Scholar 

  46. Tsoukalas (D.), Paraskevas (M.), Mourjopoulos (J.), Speech enhancement using psychoacoustic criteria,Proc. ICASSP, Minneapolis, United States, (1993), pp. 359–362.

  47. Turbin (V.), Gilloire (A.), Scalart (P.), Comparison of three post-filtering algorithms for residual acoustic echo reduction,Proc. ICASSP, Munich, Germany, (1997), pp. 307–310.

  48. Turbin (V.), Beaugeant (C), Gilloire (A.), Scalart (P.), Intérêt de la prise en compte de propriétés auditives en annulation d’écho et debruitage,Gretsi, Grenoble, France, (1997), pp. 1245-1248.

  49. Turbin (V.), Gilloire (A.), Scalart (P.), Beaugeant (C.), Using psychoacoustic criteria in acoustic echo cancellation algorithms,International Workshop on Acoustic Echo Control, London, United Kingdom, (1997), pp. 53-56.

  50. Turbin (V.), Combinaison du filtrage adaptatif et du filtrage optimal pour réaliser l’annulation de l’écho acoustique dans un contexte de téléconférence,Thèse de I’Université de Rennes 1, (1998).

  51. Vaseghi (S.V.), Advanced signal processing and digital noise reduction,Wiley Teubner Communications (1996).

  52. Van Compernolle (D.), Noise adaptation in a hidden Markov model speech recognition system,Computer Speech and Language, (1989), 3, pp. 151–167.

    Article  Google Scholar 

  53. Wang (D.L.), Lim (J.S.), The unimportance of phase in speech enhancement,IEEE Trans, on ASSP (1982),30 (4), pp.679–6811

    Google Scholar 

  54. Widrow (B.), Stearns (S.), Adaptive signal processing.Prentice-Hall (1985).

  55. Zwicker (R.), Feldkeller (R.), Das Ohr als Narichte-nempfangerou Psychoacoustique. L’oreille récepteur d’information,Hirzler Verlag, Stuttgart, Allemagne (1967), Trad, française par Christelle Sorin, éditions Masson(1981).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Christophe Beaugeant or Régine Le Bouquin Jeannès.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Beaugeant, C., Le Bouquin Jeannès, R., Scalart, P. et al. Synthèse sur la réduction conjointe de bruit et d’écho pour lés systèmes mains-libres. Ann. Télécommun. 55, 538–552 (2000). https://doi.org/10.1007/BF02995207

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02995207

Mots clés

Key words

Navigation