Speech Enhancement Using Gain Function of Noisy Power Estimates and Linear Regression
- Resource Type
- Conference
- Authors
- Lee, Soojeong; Kim, Soonhyob
- Source
- 2007 Frontiers in the Convergence of Bioscience and Information Technologies Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007. :613-616 Oct, 2007
- Subject
- Computing and Processing
Bioengineering
Speech enhancement
Linear regression
Signal to noise ratio
Time frequency analysis
Frequency estimation
Noise level
Statistics
Information technology
Power engineering computing
Power engineering and energy
- Language
Speech enhancement algorithm is proposed based on calculating the ratio of the average noisy power spectrum in time-frequency bins to the normalized time-frequency average. If the ratio is greater than the linear regression estimator threshold, speech is considered to be present. The algorithm has the advantage of being computationally simple and it produces significantly less residual noise. We evaluated the algorithm under various noise conditions to demonstrate its general superiority to conventional methods.