A blind algorithm for reverberation-time estimation using subband decomposition of speech signals

2012 ◽  
Vol 131 (4) ◽  
pp. 2811-2816 ◽  
Author(s):  
Thiago de M. Prego ◽  
Amaro A. de Lima ◽  
Sergio L. Netto ◽  
Bowon Lee ◽  
Amir Said ◽  
...  
Keyword(s):  
Time Estimation ◽  
Speech Signals ◽  
Subband Decomposition ◽  
Reverberation Time

Toward blind reverberation time estimation for non-speech signals

2013 ◽  
Vol 133 (5) ◽  
pp. 3393-3393
Author(s):  
João F. Santos ◽  
Nils Peters ◽  
Tiago H. Falk
Keyword(s):  
Time Estimation ◽  
Speech Signals ◽  
Reverberation Time

scholarly journals Towards blind reverberation time estimation for non-speech signals

2013 ◽  
Author(s):  
Joao F. Santos ◽  
Nils Peters ◽  
Tiago H. Falk
Keyword(s):  
Time Estimation ◽  
Speech Signals ◽  
Reverberation Time

scholarly journals Effect of phoneme variations on blind reverberation time estimation

Acta Acustica ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 3
Author(s):  
Andrea Andrijašević
Keyword(s):  
Time Estimation ◽  
Multiple Comparison ◽  
Reverberation Time ◽  
Impulse Responses ◽  
Estimation Errors ◽  
Significance Level ◽  
Frequency Bands ◽  
Interaction Terms ◽  
Multiple Comparison Procedure

This study focuses on an unexplored aspect of the performance of algorithms for blind reverberation time (T) estimation – on the effect that speech signal’s phonetic content has on the value of the estimate of T that is obtained from the reverberant version of that signal. To this end, the performance of three algorithms is assessed on a set of logatome recordings artificially reverberated with room impulse responses from four rooms, with their T20 value in the [0.18, 0.55] s interval. Analyses of variance showed that the null hypotheses of equal means of estimation errors can be rejected at the significance level of 0.05 for the interaction terms between the factors “vowel”, “consonant”, and “room”, while the results of Tukey’s multiple comparison procedure revealed that there are both some similarities in the behaviour of the algorithms and some differences, where the latter are stemming from the differences in the details of algorithms’ implementation such as the number of frequency bands and whether T is estimated continuously or only on the selected, the so-called speech decay, segments of the signal.

Speech-Model Based Accurate Blind Reverberation Time Estimation Using an LPC Filter

2012 ◽  
Vol 20 (6) ◽  
pp. 1884-1893 ◽  
Author(s):  
Abbas Keshavarz ◽  
Saeed Mosayyebpour ◽  
Mehrzad Biguesh ◽  
T. Aaron Gulliver ◽  
Morteza Esmaeili
Keyword(s):  
Time Estimation ◽  
Reverberation Time ◽  
Model Based ◽  
Speech Model

Poor Listening Conditions Impair Memory for Intelligible Lectures: Implications for Acoustic Classroom Standards

2009 ◽  
Vol 16 (3) ◽  
pp. 257-265 ◽  
Author(s):  
Robert Ljung ◽  
Patrik Sörqvist ◽  
Anders Kjellberg ◽  
Anne-Marie Green
Keyword(s):  
University Students ◽  
Background Noise ◽  
Speech Intelligibility ◽  
Broadband Noise ◽  
Speech Signals ◽  
Reverberation Time ◽  
Signal To Noise ◽  
Memory And Learning ◽  
What Is Said ◽  
Degraded Speech

This paper reports two experiments on the effects of degraded speech signals on memory for spoken lectures. Experiment 1 showed that broadband noise impairs university students' memory for a spoken lecture, even though the participants heard what was said. Experiment 2 showed that reverberation has detrimental effects to school adolescents' memory for spoken lectures, similar to broadband noise. The results suggest that poor listening conditions (resulting from background noise and/or long reverberation time) impair memory and learning, even if the conditions allow the listeners to hear what is said. Since the goal for students and pupils attending to lectures is to remember the lecture rather than just hearing what is said, the results presented here indicate that standards for acceptable signal-to-noise ratios and reverberation times in buildings designed for learning should consider the distinction between speech intelligibility and memory. Standards should be based on memory criteria instead of intelligibility criteria.

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