Tag Archives: archaeoacoustics

Stonehenge: beyond reverberation time

Early Decay Time, EDT

In a previous blog I wrote about the Reverberation Time within Stonehenge based on our acoustic scale model of the 2200 BC configuration. While the reverberation time is very commonly used to characterise rooms, it’s not the best metric in all circumstances. The reverberation time is how long it takes sound to decay by 60 dB, but when listening to on-going music, you might not hear that full decay because new notes come along too quickly and drown out the old ones. Consequently, a better measure for perceived reverberance (in concert halls) is the Early Decay Time (EDT), which is evaluated over the first 10 dB of decay [1].

To get a rough sense of the EDT in Stonehenge, Figure 1 shows an average over all positions. But averages in EDT should be treated with caution. As the metric is calculated over early parts of the sound decay, it’s highly influenced by the presence (or not) of reflections from stones close to the source or listener. The EDT varies greatly with position in Stonehenge, as shown by the large standard deviations (the error bars) [2].

Fig. 1. Average EDT for 30 source-receiver pairs. Error bars are +- one standard deviation.

How EDT various in Stonehenge

Line of Sight

Stonehenge model
Fig. 2. 1:12 Acoustic Scale Model of Stonehenge, Photo (c) University of Salford

Back in 2,200 BC it is thought there were 157 stones. As the photo above shows, there would have been many places where a listener would not be able to see a talker due to obscuring stones. You would still have been able to hear the talker via sound reflecting from, or bending around, the stones. But the sound travelling direct from talker to listener would have been greatly reduced. This has a significant effect on EDT.

Impulse responses for two source-receiver combinations
Fig 3. Two impulse responses. Top (s1-m25) has a clear line of sight between source and receiver. Bottom (s4-m1) has a large trilithon in the way greatly attenuating the direct sound.

Figure 3 shows two impulse responses and Figure 4 the locations of the loudspeakers and microphones for the two measurements. For s1-m25 (top) there is a direct line of sight and the biggest sound arrives first travelling straight from source to receiver. In contrast, the trilithon in front of source s4 meant the sound couldn’t directly reach microphone m1. For s4-m1 (bottom of Figure 3) the direct sound is largely missing. The largest sounds to reach this occluded microphone comes from reflections.

Plan of stonehenge with two source and receiver positions
Fig 4. Two source and receiver positions for the impulse responses in Figure 3. The occluding stone for S4-M1 is the one closest to S4. The other stone that appears to be in the way is the altar stone, which is too low to cause an obstruction.

The EDT for the case where there was a clear line of sight between loudspeaker and microphone (s1-m25) is about 0.4s at mid-frequency. For the occluded case (s4-m1) it’s 0.8 s. The EDT is strongly affected because it’s measuring the decay of sound at the start of the impulse response.

Quantifying the effect of occlusion on EDT

Each of the thirty measurements was classified into three categories – clear line of sight, partly occluded and fully occluded – based on the loudspeaker and microphone positions. The mean mid-frequency EDT (average of 500 & 1000 Hz) for these three cases was:

  1. Clear line of sight, EDT = 0.55 ± 0.09
  2. Partly Occluded, EDT = 0.63 ± 0.12
  3. Fully Occluded, EDT = 0.72 ± 0.06

A Jonckheere-Terpstra test demonstrates a significant difference across the groups (N=30, JT=192, p=0.013). The changes in the EDT are small, but significant enough to be audible.

Clustering

The next approach to make sense of the data was to do a cluster analysis. The measurements were grouped together according to which ones had similar reverberation times and EDT [4]. Figure 5 shows the average reverberation time (RT) and EDT for each of the clusters. What differentiates the clusters is the EDT, the reverberation time doesn’t vary much for the different measurements.

Fig. 5. EDT and RT for three clusters

Cluster 1 (blue) has the highest EDT and tends to have more occluded positions than the other two clusters (confirming the line of sight analysis above). Cluster 2 (red) has only three measurements, and they’re all when the source and receiver are in the inner-most part of Stonehenge.

The top plot of Figure 6 shows an impulse response for one measurement from Cluster 2 (s1-m1) with a short EDT. The bottom plot is for another position in the inner part of the henge (sc-m22) but it’s in Cluster 1 and has a longer EDT. The positions of the sources and microphones are shown in Figure 7.

Fig. 6. Impulse responses for various source and receivers near centre of henge.

The top impulse response in Figure 6 is dominated by the sound direct from the source to the microphone, and reflections are relatively weak. This leads to the very short EDT value for s1-m1. In contrast the other case (bottom of Figure 6) has a weaker direct sound due to the source-microphone distance being longer, making the reflections more important leading to a longer EDT.

Plan with various source and receiver positions
Fig. 7 Plan with various source and receiver positions in inner part of the henge. Source Sc and microphone M1 are the same position.

Digital Stonehenge

Figure 8 shows the EDT for the 1:12 acoustic scale model and a computer prediction by Till using a geometric room acoustic simulation (‘Digital Stonehenge’) [5]. While the lower plot shows a good correspondence between the measurement and Digital Stonehenge, the top graphs are very different. At 1000 Hz, Digital Stonehenge is giving an EDT like a medium-sized concert hall (1.6s), whereas the acoustic scale model is giving a very short EDT (0.35s) typical of a dead studio.

Fig. 8. EDT for two source-receiver pairs for ‘Digital Stonehenge’ and the 1:12 acoustic scale model.

The very large EDT values at the centre of Digital Stonehenge look wrong. With the source and receiver close to the centre, by the time any reflections arrive from the stones, the sound should have already decayed by about ten decibels (the calculation limit for EDT). You can see it in Fazenda’s measurements in the Maryhill Stonehenge replica – see graph below from reference 7. (The impulse responses from the 1:12 acoustic scale model show something similar). Like the previous results from reverberation time Digital Stonehenge is producing inaccurate results and giving a wrong impression for what the acoustics in 2,200 BC would have been like.

Summary

The Early Decay Time (EDT) relates to how reverberant a place appears to a listener. It varies around Stonehenge, depending of whether there is a line of sight between source and listener, and whether stones close-by can provide reinforcing reflections.

The largest mid-frequency EDT is 0.8 seconds This is what you get in a medium-sized theatre used for speech drama. But two-thirds of positions in Stonehenge are significantly less reverberant, being more like a dead TV studio. Right in the centre of Stonehenge, the EDT is very short, because reflections from the stones arrive too late. Do these create an echo? I’ll look into that in another blog.

References and notes

[1] Kuttruff, H., 2016. Room acoustics. Crc Press. pp. 179. EDT also correlates well with perceived reverberance in smaller rooms, see Kaplanis, N., Bech, S., Lokki, T., van Waterschoot, T. and Holdt Jensen, S., 2019. Perception and preference of reverberation in small listening rooms for multi-loudspeaker reproduction. The Journal of the Acoustical Society of America, 146(5), pp.3562-3576. Although reverberation time and early decay time are highly correlated in the rooms tested in this paper.

[2] The average EDT is significantly smaller than the average reverberation time for 1000, 2000 and 4000 Hz. For each octave band the EDT is about 0.1s smaller.

[3] The time of flight for the direct path has been set the same in both impulse responses. These are for 125Hz – 4kHz octave bands.

[4] k-means clustering was used. Three clusters were used because it gave clear differentiation between the groups.

[5] Till, R., 2009. Songs of the stones: the acoustics of Stonehenge. The sounds of Stonehenge, pp.17-39.

[6] Fazenda, B.M., 2013. The acoustics of Stonehenge. Acoustics Bulletin, 38(1), pp.32-37.