Journal article
Reduction of broad-band noise in speech by truncated QSVD
We consider an algorithm for reduction of broadband noise in speech based on signal subspaces. The algorithm is formulated by means of the quotient singular value decomposition (QSVD). With this formulation, a prewhitening operation becomes an integral part of the algorithm. We demonstrate that this is essential in connection with updating issues in real-time recursive applications.
We also illustrate by examples that we are able to achieve a satisfactory quality of the reconstructed signal.
Language: | English |
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Publisher: | IEEE |
Year: | 1995 |
Pages: | 439-448 |
ISSN: | 15582353 and 10636676 |
Types: | Journal article |
DOI: | 10.1109/89.482211 |
ORCIDs: | Hansen, Per Christian and Sørensen, John Aasted |
Acoustic noise Linear predictive coding Matrix decomposition Microphones Noise cancellation Noise reduction Speech analysis Speech enhancement Speech synthesis Telephony broadband noise reduction noise prewhitening operation quotient singular value decomposition real-time recursive applications signal reconstruction signal subspaces singular value decomposition speech enhancement truncated QSVD updating