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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) |
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| Paper Title: | Speaker-Independent Speech Separation with Deep Attractor Network |
| Authors Name: | Prof. Pooja Rasane , Harshada Bhujbal , Omkar Dhore , Maithili Jagdale , Sandhyarani Sonkamble |
| Download E-Certificate: | Download |
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IJNRD_209228
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| Published Paper Id: | IJNRD2312148 |
| Published In: | Volume 8 Issue 12, December-2023 |
| DOI: | |
| Abstract: | 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 |
| Downloads: | 000118750 |
| 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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Published Paper ID:IJNRD2312148 Registration ID: 209228 Published In: Volume 8 Issue 12, December-2023 DOI (Digital Object Identifier): Page No: b277-b279 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2312148 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2312148 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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