Reverberation time estimation on the ACE corpus using the SDD method

Reverberation Time (T60) is an important measure for characterizing the properties of a room. The author's T60 estimation algorithm was previously tested on simulated data where the noise is artificially added to the speech after convolution with a impulse responses simulated using the image method. We test the algorithm on speech convolved with real recorded impulse responses and noise from the same rooms from the Acoustic Characterization of Environments (ACE) corpus and achieve results comparable results to those using simulated data.Comment: In Proceedings of the ACE Challenge Workshop - a satellite event of IEEE-WASPAA 2015 (arXiv:1510.00383

EVALUATION OF THE REVERBERATION TIME IMPROVEMENT IN A SPEAKING HALL

To improve a room's acoustic parameters there have been studied several variants of acoustic materials and devices that can be placed on the ceiling of the hall. The main objective of the study was the reverberation time measurement and calculation. By using the acoustic panel made from polystyrene, covered with jute on the both sides, has ensured the largest reverberation time decrease. Thus, we can say that the analyzed room can be used for speech activity (courses, conferences etc.

EVALUATION OF THE REVERBERATION TIME IMPROVEMENT IN A SPEAKING HALL

To improve a room's acoustic parameters there have been studied several variants of acoustic materials and devices that can be placed on the ceiling of the hall. The main objective of the study was the reverberation time measurement and calculation. By using the acoustic panel made from polystyrene, covered with jute on the both sides, has ensured the largest reverberation time decrease. Thus, we can say that the analyzed room can be used for speech activity (courses, conferences etc.

Real-time Estimation of Reverberation Time for Selection of suitable binaural room impulse responses

The aim of auditory augmented reality is to create a highly immersive and plausible auditory illusion combining virtual audio objects and scenarios with the real acoustic surrounding. For this use case it is necessary to estimate the acoustics of the current room. A mismatch between real and simulated acoustics will easily be detected by the listener and will probably lead to In-head localization or an unrealistic acoustic envelopment of the virtual sound sources. This publication investigates State-of-the-Art algorithms for blind reverberation time estimation which are commonly used for speech enhancement algorithms or speech dereverberation and applies them to binaural ear signals. The outcome of these algorithms can be used to select the most appropriate room out of a room database for example. A room database could include pre-measured or simulated binaural room impulse responses which could directly be used to realize a binaural reproduction. First results show promising results combined with low computational effort. Further strategies for enhancing the used method are proposed in order to create a more precise reverberation time estimation

Blind RT60 estimation robust across room sizes and source distances

International audienceThe reverberation time or RT60 is an essential acoustic parameter of a room. In many situations, the room impulse response (RIR) is not available and the RT60 must be blindly estimated from a speech or music signal. Current methods often implicitly assume that reverberation dominates direct sound, which restricts their applicability to relatively small rooms or distant sound sources. This paper features two contributions. Firstly, we propose a blind RT60 estimation method that is independent of the room size and the source distance by preprocessing the input signal using a beamformer to cancel direct sound and early echoes. Secondly, we perform the largest experimental evaluation to our knowledge using a set of 342 RIRs. We show that the estimation error is significantly reduced even in the case when reverberation dominates