Author : A RAGHU VARDHAN BABU 1
Date of Publication :10th November 2017
Abstract: Speech intelligibility is an important measure of the effectiveness or adequacy of a communication system or to communicate in a noisy environment. In many daily life situations it is important to understand what is being said, for example over a loudspeaker system, and to be able to react to acoustic signals of different kinds. Inherent noise presence in message production process has huge impact. Both production and interpretation noise processes have a fixed signal-to-noise ratio. A simple and effective model of human communication is proposed in this work which has ability to enhance the intelligent speech in noisy environment. Simulation results yields better performance over traditional state-of-methods.
Reference :
-
- P. Loizou, Speech Enhancement Theory and Practice. Boca Raton, FL, USA: CRC Press, 2007.
- S. Srinivasan, J. Samuelsson, and W. B. Kleijn, “Codebook-based Bayesian speech enhancement for nonstationary environments,” IEEE Trans. Audio, Speech Lang. Process., vol. 15, pp. 441–452, Feb. 2007.
- R. C. Hendriks, T. Gerkmann, and J. Jensen, DFTDomain based single-microphone noise reduction for speech enhancement-a Survey of the State of the Art. San Rafael, CA, USA: Morgan & Claypool, 2013.
- V. Grancharov, J. H. Plasberg, J. Samuelsson, and W. B. Kleijn, “Generalized postfilter for speech quality enhancement,” IEEE Trans. Audio, Speech Lang. Process., vol. 16, no. 1, pp. 57–64, Jan. 2008.
- R. Niederjohn and J. Grotelueschen, “The enhancement of speech intelligibility in high noise levels by high-pass filtering followed by rapid amplitude compression,” IEEE Trans. Acoust. Speech, Signal Process., vol. ASSP-24, no. 4, pp. 277–282, 1976.
- B. Sauert, G. Enzner, and P. Vary, “Near end listening enhancement with strict loudspeaker output power constraining,” in Proc. Int. Workshop on Acoustic Echo and Noise Control (IWAENC), Paris, France, 2006.
- B. Sauert and P. Vary, “Near end listening enhancement optimized with respect to speech intelligibility index and audio power limitations,” in Proc. European Signal Processing Conf. (EUSIPCO), Aalborg, Denmark, Aug. 2010, pp. 1919–1923
- T. C. Zorilă, V. Kandia, and Y. Stylianou, “Speech-innoise intelligibility improvement based on spectral shaping and dynamic range compression,” in ISCA Interspeech, Portland, OR, USA, 2012.
- P. N. Petkov, G. E. Henter, and W. B. Kleijn, “Maximizing phoneme recognition accuracy for enhanced speech intelligibility in noise,” IEEE Trans. Audio, Speech Lang. Process., vol. 21, no. 5, pp. 1035–1045, 2013.
- C. Taal, J. Jensen, and A. Leijon, “On optimal linear filtering of speech for near-end listening enhancement,” IEEE Signal Process. Lett., vol. 20, no. 3, pp. 225–228, 2013.