Abstract
Implementation of novel algorithms on Digital Signal Processing [DSP] processor to extract the speech signal from a noisy signal is always of immense interest. Speech signals are usually complex that requires processing of signal in short frames, and thus DSP processors are widely used to process the speech signals in mobile phones. The performance of these devices is comparatively very well in noisy conditions, as compared with traditional processors. The speech signal is degraded by either echo or background noise and as a result, there exists a requirement of digital voice processor for human–machine interfaces. The chief objective of speech enhancement algorithms is to improve the performance of voice communication devices by boosting the speech quality and increasing the intelligibility of voice signal. Popular speech enhancement algorithms rely on frequency domain approaches to estimate the spectral density of noise. This paper proposes a method of assessment, wherein frequency components of noisy speech signal are filtered out using multiband filters. The multiband filters are developed in C6748 DSP processor. Experimental results demonstrate an improved Signal to Noise Ratio [SNR] with fewer computations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Boll, S.F.: Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. Acoust. Speech Signal Process. 27, 113–120 (1979)
Lockwood, P., Boudy, J.: Experiments with a nonlinear spectral sub tractor (NSS), hidden markov models and the projection, for robust speech recognition in cars. Speech Commun. 11(2–3), 215–228 (1992)
Soon, I., Koh, S., Yeo, C.: Selective magnitude subtraction for speech enhancement. In: Fourth International Conference High Performance Computing in the Asia-Pacific Region, vol. 2, pp. 692–695 (2000)
He, C., Zweig, G.: Adaptive two-band spectral subtraction with multi-window spectral estimation. ICASSP 2, 793–796 (1999)
Virag, N.: Single channel speech enhancement based on masking properties of the human auditory system. IEEE Trans. Speech Audio Process. 7, 126–137 (1999)
Krishnamoorthy, P., Mahadeva Prasanna, S.R.: Enhancement of noisy speech by spectral subtraction and residual modification. IEEE Trans. Signal Process. 1–5 (2006)
Shin, J.W., Yoo, J.W., Park, P.G.: Variable step-size sign subband adaptive filter. IEEE Signal Process. Lett. 20(2) (2013)
Epharin, Y., Malah, D.: Speech enhancement a minimum mean square error log–spectral amplitude estimator. IEEE Trans. Acoust. Speech Signal Process. ASSP-32, 1109–1121 (1984)
Epharin, Y., Mallah, D.: Speech enhancement using a minimum-mean square error log-spectral amplitude estimator. IEEE Trans. Acoust. Speech Signal Process. ASSP-333, 443–445 (1985)
Cai, Y., Yuan, J., Ma, X., Hou, C.: Low power embedded speech enhancement system based on a fixed-point DSP. In: 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing, Chengdu, pp. 132–136 (2009)
Tiwari, N., Waddi, S.K., Pandey, P.C.: Speech enhancement and multi-band frequency compression for suppression of noise and intra speech spectral masking in hearing aids. In: 2013 Annual IEEE India Conference (INDICON), Mumbai, pp. 1–6 (2013)
Yermeche, Z., Sallberg, B., Grbic, N., Claesson, I.: Real-time DSP implementation of a sub band beam forming algorithm for dual microphone speech enhancement. In: 2007 IEEE International Symposium on Circuits and Systems, New Orleans, LA, pp. 353–356 (2007)
Purushotham, U., Suresh, K.: Feature extraction in enhancing speech signal for mobile communication. In: 2016 IICIP, Delhi, India, pp. 1–5 (2016)
IEEE Subcommittee: IEEE recommended practice for speech quality measurements. IEEE Trans. Audio Electroacoust. AU-17(3), 225–246 (1969)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Purushotham, U., Suresh, K. (2018). Implementation of Spectral Subtraction Using Sub-band Filtering in DSP C6748 Processor for Enhancing Speech Signal. In: Reddy Edla, D., Lingras, P., Venkatanareshbabu K. (eds) Advances in Machine Learning and Data Science. Advances in Intelligent Systems and Computing, vol 705. Springer, Singapore. https://doi.org/10.1007/978-981-10-8569-7_27
Download citation
DOI: https://doi.org/10.1007/978-981-10-8569-7_27
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8568-0
Online ISBN: 978-981-10-8569-7
eBook Packages: EngineeringEngineering (R0)