Kai-Hsing Chang

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A signal subspace speech enhancement based on subspace tracking algorithm is presented. The proposed method incorporates a perceptual filterbank which is derived from psycho-acoustic model for subband processing. The experiments were performed using the TAICAR in-car noisy speech database. Subjective and objective tests show that our method outperforms(More)
In this paper, a new subspace-based speech enhancement algorithm for in-car human computer speech interaction is presented. We first incorporate a perceptual filter-bank which is derived from psycho-acoustic model with signal subspace approach to effectively suppress in-car noises of engine. Second, for real-time applications, a new subspace tracking(More)
—In this paper, a new subspace-based speech enhancement model is presented for in-car speech enhancement. To effectively suppress background noise, this model incorporates a perceptual filterbank and an auditory gain adaptation derived from a psychoacoustic model into a signal subspace approach. The projection approximation subspace tracking deflation(More)
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