Abstract
The reverberation time (RT) measures the persistence of a sound in enclosed acoustic spaces. In a previous work, a method for the blind maximum-likelihood estimation (MLE) of RT using passively received microphone signals was presented. The procedure overcomes the drawbacks of current methods that use a controlled sound source for RT determination. Here, fast algorithms for online implementation of the method are developed. One algorithm, suitable for a one-time determination of the RT, requires O(N) computations for a data frame of length N. A second IIR algorithm, based on Q-levels of quantization, requires O(Q) computations. Results for speech data and choice of algorithms are discussed.
Original language | English (US) |
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Pages (from-to) | 537-540 |
Number of pages | 4 |
Journal | IEEE Signal Processing Letters |
Volume | 11 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2004 |
Keywords
- Acoustic reverberation time
- Blind estimation
- Fast algorithms
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics