INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In recent years, deep learning-based methods have significantly improved the performance of speech separation. However, a challenging problem remains: how to separate the speech of unknown speakers in a mixture, a problem known as speaker-independent speech separation. This research presents an innovative deep learning framework for speech separation that addresses the issue of unknown speakers in the mixture. We propose a neural network that projects the time-frequency representation of the mixture signal into a high-dimensional feature space. Within this space, reference points (attractors) are created to represent each speaker, defined as the centroid of the speaker in the embedding space. The time-frequency embeddings of each speaker are then encouraged to cluster around their corresponding attractor points, which are used to determine the time-frequency assignment of each speaker. This approach enhances the robustness of speech separation for various applications, including speech recognition, speaker diarization, and more.
Keywords:
Speech Separation, DNN, Feature Extraction, Deep Learning, Speaker- Independent
Cite Article:
"Speaker-Independent Speech Separation with Deep Attractor Network", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.b277-b279, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312148.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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