12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

Maximum a posteriori Estimation of Noise from Non-Acoustic Reference Signals in Very Low Signal-to-Noise Ratio Environments

Ben Milner

University of East Anglia, UK

This paper examines whether non-acoustic noise reference signals can provide accurate estimates of noise at very low signal-to-noise ratios (SNRs) where conventional estimation methods are less effective. The environment chosen for the investigation is Formula 1 motor racing where SNRs are as low as -15dB and the non-acoustic reference signals are engine speed, road speed and throttle measurements. Noise is found to relate closely to these reference signals and a maximum a posteriori method (MAP) is proposed to estimate airflow and tyre noise from these parameters. Objective tests show MAP estimation to be more accurate than a range of conventional noise estimation methods. Subjective listening tests then compare speech enhancement using the proposed MAP estimation to conventional methods with the former found to give significantly higher speech quality.

Full Paper

Bibliographic reference.  Milner, Ben (2011): "Maximum a posteriori estimation of noise from non-acoustic reference signals in very low signal-to-noise ratio environments", In INTERSPEECH-2011, 357-360.