Transcription of polyphonic signals using fast filter bank
In this paper, a novel approach to the transcription of polyphonic signals is investigated. The method makes use of top-down analysis and bottom-up reconstruction of the time-frequency contents of the signals. Time-frequency contents of the signals are obtained using a bank of narrow band filters...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2009
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| Online Access: | https://hdl.handle.net/10356/90828 http://hdl.handle.net/10220/4616 |
| _version_ | 1811677334426615808 |
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| author | Lee, Edwin Wei Thai Foo, Say Wei |
| author2 | IEEE International Symposium on Circuits and Systems (2002 : Scottsdale, Arizona, US) |
| author_facet | IEEE International Symposium on Circuits and Systems (2002 : Scottsdale, Arizona, US) Lee, Edwin Wei Thai Foo, Say Wei |
| author_sort | Lee, Edwin Wei Thai |
| collection | NTU |
| description | In this paper, a novel approach to the transcription of polyphonic signals is investigated. The method makes use
of top-down analysis and bottom-up reconstruction of the time-frequency contents of the signals. Time-frequency
contents of the signals are obtained using a bank of narrow band filters with very sharp transition band. The filters are designed using the Frequency Response Masking technique. The high selectivity of the filters has enhanced the top-down analysis and increased the accuracy of identification over the simple frequency transform techniques. The method was tested with musical notes generated from an acoustic piano. Results show that for single notes and chords up to four notes, perfect
identification can be achieved. |
| first_indexed | 2024-10-01T02:35:43Z |
| format | Conference Paper |
| id | ntu-10356/90828 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:35:43Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/908282019-12-06T17:54:45Z Transcription of polyphonic signals using fast filter bank Lee, Edwin Wei Thai Foo, Say Wei IEEE International Symposium on Circuits and Systems (2002 : Scottsdale, Arizona, US) In this paper, a novel approach to the transcription of polyphonic signals is investigated. The method makes use of top-down analysis and bottom-up reconstruction of the time-frequency contents of the signals. Time-frequency contents of the signals are obtained using a bank of narrow band filters with very sharp transition band. The filters are designed using the Frequency Response Masking technique. The high selectivity of the filters has enhanced the top-down analysis and increased the accuracy of identification over the simple frequency transform techniques. The method was tested with musical notes generated from an acoustic piano. Results show that for single notes and chords up to four notes, perfect identification can be achieved. Accepted version 2009-05-25T03:36:55Z 2019-12-06T17:54:45Z 2009-05-25T03:36:55Z 2019-12-06T17:54:45Z 2002 2002 Conference Paper Foo, S. W., & Lee, E. W. T. (2002). Transcription of polyphonic signals using fast filter bank. IEEE International Symposium on Circuits and Systems 2002. (pp. 241-244). https://hdl.handle.net/10356/90828 http://hdl.handle.net/10220/4616 en IEEE International Symposium on Circuits and Systems. Journal can be found at http://www.ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=7897 4 p. application/pdf |
| spellingShingle | Lee, Edwin Wei Thai Foo, Say Wei Transcription of polyphonic signals using fast filter bank |
| title | Transcription of polyphonic signals using fast filter bank |
| title_full | Transcription of polyphonic signals using fast filter bank |
| title_fullStr | Transcription of polyphonic signals using fast filter bank |
| title_full_unstemmed | Transcription of polyphonic signals using fast filter bank |
| title_short | Transcription of polyphonic signals using fast filter bank |
| title_sort | transcription of polyphonic signals using fast filter bank |
| url | https://hdl.handle.net/10356/90828 http://hdl.handle.net/10220/4616 |
| work_keys_str_mv | AT leeedwinweithai transcriptionofpolyphonicsignalsusingfastfilterbank AT foosaywei transcriptionofpolyphonicsignalsusingfastfilterbank |