Project Dhvani has been recording bird calls at a few sites across India to identify different species and understand the impact of their environment on them.

Vijay Ramesh, Pooja Choksi and Sarika Khanwilkar founded Project Dhvani in 2018.

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Saving every tweet: Meet researchers using bird calls, AI to study biodiversity

Project Dhvani, a research collaboration by Vijay Ramesh, Sarika Khanwilkar and Pooja Choksi, uses sound to track which birds are calling out in the forest, how many of them there might be, and how that’s changing. Take a listen.

Exploring the Anamalai Hills of Tamil Nadu, Vijay Ramesh, 30, would halt in his tracks every time he heard a white-bellied blue flycatcher. The bird remained elusive. He rarely saw it.

This is a species endemic to the Western Ghats, and he assumed there just weren’t that many. It was only after he set up audio recorders at some of the same sites that he realised the bird wasn’t nearly as rare as he had thought.

“In a tropical forest, you’re often just hearing a bird instead of seeing it. The white-bellied blue flycatcher is very shy, and the recorders showed it to be more common than we thought. That’s what really stands out when you study these birds from an acoustic point of view,” says Ramesh.

Bioacoustics, a field devoted to the study of animal sounds, is the focus of PhD candidates Ramesh, Sarika Khanwilkar, 29, and

Pooja Choksi, 31, and their research collaboration, Project Dhvani. Since 2018, the initia- tive launched by the three students (they’re pursuing doctorates in ecology, evolution and environmental biology at Columbia University) has been collecting soundscape recordings from sites across central India and the Western Ghats. This includes sounds from birds, bats, insects and, of course, humans.

In addition to understanding the patterns of presence or absence of a species, the project uses artificial intelligence and machine learning to analyse the data collected and study how various species inter- act with their environment and react to changes in their habitat.

Sound garden

Passive acoustic monitoring is a major component of Project Dhvani’s ground research, usually conducted over the summer and winter, when they can capture vocalisations from a large number of resident and migratory bird species. Project Dhvani’s team of ecologists set up audio recorders at selected spots. These recorders continually capture the different frequencies of this ecosystem, some of which are inaudible to humans.

“There are many traditional methods that ecologists use to understand how species respond to changes in their habitat. But the auditory dimension is one that hasn’t been explored much,” Choksi says.

Bioacoustics, as a broader discipline, can be traced back to the early 1970s, when acoustic communication between animals first began to be studied. The idea that one could study sounds from an entire land- scape is more recent, with studies dating back to 2011.

In India, the Indian Institutes of Science Education and Research as well as the Indian Institute of Science, among others, are using sound to study ecology. Long-term acoustic research is underway in Australia, Costa Rica, Peru, the UK and US. And bioacoustics has been a game-changer in monitoring hunting and poaching activity in real time in countries across Africa.

The soundscapes Project Dhvani studies range from protected areas to unprotected human-dominated landscapes.

Once recordings have been collected, the effort moves to a computer lab, where bird calls are first manually annotated by natu- ralists and ecologists. Recordings are then fed into a deep-learning model, where calls are logged by frequency, intensity and other metrics. Over time, as more recordings are made at each site, the data begins to offer a picture of biodiversity, and ways in which it may be changing. “It’s a low-cost way to monitor a large landscape,” Ramesh says.

Under the radar

The challenges for such a project are unu- sual. Some birds, for instance, consistently drown out others. As many as 20 species may be calling in a span of 10 seconds, and only a few dominant ones will be apparent (like the white-cheeked barbet), while others (like the crimson-backed sunbird) are lost, says Keshav Bhandari, a research affiliate working on the project.

Species of the same kind may call at slightly different frequencies in different regions, so when logging the data, one could at first miss them altogether.

Background noise (leaves, wind, rain, traffic, footfalls) can make some bird calls harder to identify. Added to which, some birds mimic others, and some mimic sounds they’ve heard that aren’t bird calls at all, like horns and sirens.

“We are interested in identifying all birds that are heard in the recording, especially the rare ones. These factors hinder the ability of the model to capture some of the faint patterns that may be present,” Bhandari says. In areas around the Kanha National Park in Madhya Pradesh, for instance, Choksi says, five birds accounted for approximately 45% of the calls on a particular set of recordings. “What we are trying to do is to create an algorithm that can pick out the birds in the background that are completely sidelined,” Choksi says.

To listen in yourself, go to

Preliminary results are encouraging. In the dense, mountainous terrain of the Western Ghats, Vijay Ramesh’s research found that rainforest birds are returning to some of the restored habitats in the Valparai plateau of the Anamalai Hills, complementing previous research conducted through manual surveys. “From an acoustic lens, what is fascinating is that a lot of the previously empty soundscapes are showing activity at different frequencies,” Ramesh says.     

The deep-learning program is improving too. “For instance, it can now pinpoint the calls of the Nilgiri flycatcher with 35% greater accuracy and the calls of the great hornbill with 9% greater accuracy,” Bhandari says.    

Some of the findings reinforce what is already known: sites with high canopy cover but different vegetation sound similar. And when certain invasive species (like the Lantana camara) take over a patch of land with little canopy cover, the soundscape is much quieter.    

A key focus area in the years ahead will be understanding how the presence and behaviour of a few species may alter as a function of local climatic and land-use changes. “We are combining traditional methods of surveying landscapes with these non-traditional methods. When you put them together, the results tell us a lot more,” Choksi says. 

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