Spectral subtraction using reduced delay convolution and adaptive averaging.

In hands-free speech communication, the signal-to-noise ratio (SNR) is often poor, which makes it difficult to have a relaxed conversation. By using noise suppression, the conversation quality can be improved. This paper describes a noise suppression algorithm based on spectral subtraction. The meth...

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Pubblicato in:	IEEE Transactions on speech and audio processing 9, 8 (2001).
Autore principale:	Gustafsson, H.
Natura:	Articolo
Lingua:	English
Soggetti:	10 dB. FFT filtering. SNR. Adaptive averaging. Background noise reduction. Causal filter. Circular convolution. Conversation quality. Fast Fourier transform filtering. Hands-free speech communication. Linear filtering. Noise artifacts. Noise suppression. Reduced delay convolution. Signal-to-noise ratio. Spectral subtraction. Spectrum-dependent adaptive averaging. Speech -dependent gain function. Speech quality.