Multiband Subspace Tracking Speech Enhancement for In-Car Human Computer Speech Interaction

Speech Enhancement Through an Optimized Subspace Division Technique

The speech enhancement techniques are often employed to improve the quality and intelligibility of the noisy speech signals. This paper discusses a novel technique for speech enhancement which is based on Singular Value Decomposition. This implementation utilizes a Genetic Algorithm based optimization method for reducing the effects of environmental noises from the singular vectors as well as t...

Speech Enhancement Through an Optimized Subspace Division Technique

The speech enhancement techniques are often employed to improve the quality and intelligibility of the noisy speech signals. This paper discusses a novel technique for speech enhancement which is based on Singular Value Decomposition. This implementation utilizes a Genetic Algorithm based optimization method for reducing the effects of environmental noises from the singular vectors as well as t...

Audio-visual SPeaker localization for car navigation systems

Human-computer interaction for in-vehicle information and navigation systems is a challenging problem because of the diverse and changing acoustic environments. It is proposed that the integration of video and audio information can significantly improve dialog system performance, since the visual modality is not impacted by acoustic noise. In this paper, we propose a robust audio-visual integra...

利用小波聽覺分頻處理與訊號子空間分解於車內噪音消除 (In-Car Speech Enhancement Using Wavelet Based Perceptual Filterbank and Signal Subspace Tracking) [In Chinese]

A New Shuffled Sub-swarm Particle Swarm Optimization Algorithm for Speech Enhancement

In this paper, we propose a novel algorithm to enhance the noisy speech in the framework of dual-channel speech enhancement. The new method is a hybrid optimization algorithm, which employs the  combination of  the  conventional θ-PSO and the shuffled sub-swarms particle optimization (SSPSO) technique. It is known that the θ-PSO algorithm has better optimization performance than standard PSO al...