An Improved ( Auto : I , LSP : T ) Constrained IterativeSpeech Enhancement for Colored Noise
نویسنده
چکیده
In this correspondence we illustrate how the (Auto:I,LSP:T) constrained iterative speech enhancement algorithm can be extended to provide improved performance in colored noise environments. The modiied algorithm, referred to here as Noise Adaptive (Auto:I,LSP:T), operates on subbanded signal components in which the terminating iteration is adjusted based on the a posteriori estimate of the signal-to-noise ratio in each signal subband. The enhanced speech is formulated as a combined estimate from individual signal subband estimators. The algorithm is shown to improve objective speech quality in additive noise environments over the traditional constrained iterative (Auto:I,LSP:T) enhancement formulation.
منابع مشابه
An improved (Auto: I, LSP: T) constrained iterative speech enhancement for colored noise environments
In this correspondence we illustrate how the (Auto:I, LSP:T) constrained iterative speech enhancement algorithm can be extended to provide improved performance in colored noise environments. The modified algorithm, referred to here as noise adaptive (Auto:I, LSP:T), operates on subbanded signal components in which the terminating iteration is adjusted based on the a posteriori estimate of the s...
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