Improved single-channel noise reduction method of speech by blind source separation
نویسندگان
چکیده
منابع مشابه
Single and Multi-Channel Noise Reduction Based on Blind Source Separation
Advances in telecommunications over the last few decades have made communications anywhere a reality. Technological progress has made communication systems reliable and affordable and mobile communication has now become ubiquitous. The freedom and flexibility provided by mobile communications introduces new challenges in the area of voice communication, an important one being the suppression of...
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In this paper we present results on single channel blind source separation based on a shift-invariant sparse coding model [1], [2] and [3]. This model learns a set of time-domain features from a single observation of the mixed signals. The found features can often be associated with a single source and can therefore be used to reconstruct the individual source signals. This is shown in this pap...
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In this paper, we investigate the source–filter-based approach for single-channel speech separation. We incorporate source-driven aspects by multi-pitch estimation in the model-driven method. For multi-pitch estimation, the factorial HMM is utilized. For modeling the vocal tract filters either vector quantization (VQ) or non-negative matrix factorization are considered. For both methods, the fi...
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Conventional single-channel source separation (SCSS) algorithms are mostly focused on estimating the spectral amplitude of the underlying sources extracted from a mixture. The importance of phase information in source separation and its positive impact on improving the achievable performance is not adequately studied yet. In this work, we propose a phase estimation method to enhance the spectra...
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ژورنال
عنوان ژورنال: Acoustical Science and Technology
سال: 2007
ISSN: 1346-3969,1347-5177
DOI: 10.1250/ast.28.153