Overlapped Speech Separation System (OSSS) / (Record no. 611908)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01715nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240927092648.0 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382,AZI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Aziz, Eemaan |
| 9 (RLIN) | 126138 |
| 245 ## - TITLE STATEMENT | |
| Title | Overlapped Speech Separation System (OSSS) / |
| Statement of responsibility, etc. | NC Eemaan Aziz, NC Hashir Rizwan, NC Ayesha Riaz, NC Usman Awan. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | MCS, NUST |
| Name of publisher, distributor, etc. | Rawalpindi |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 84 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Overlapped Speech refers to speakers speaking simultaneously (i.e. speech mixture). Speech separation has long been an active research topic in the signal processing community, with its importance in a wide range of applications such as hearable devices and telecommunication systems. It is a fundamental problem for all higher-level speech processing tasks.<br/>With recent progress in deep neural networks, the separation performance has been significantly advanced by various new problems. The problem formulation of time-domain, end-to-end speech separation naturally arises to tackle the disadvantages in frequency-domain systems. We’ve used a dual path recurrent neural network for separation of mixed audios.<br/>DPRNN (Dual-Path RNN) primarily separates in the time domain for audio source separation. It leverages recurrent neural networks (RNNs) to process temporal sequences of audio data. DPRNN focuses on exploiting temporal dependencies within audio signals for effective separation. We looked into the training objectives for separating and improving the robustness under reverberant environments. This project is further analyzed and can be used as the basis for future works. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | UG EE Project |
| 9 (RLIN) | 118090 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | BEE-57 |
| 9 (RLIN) | 125983 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor Dr. Shibli Nisar |
| 9 (RLIN) | 112570 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Project Report |
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