All articles tagged with #animal communication
UC Berkeley researcher Dr. Julie Elie mapped 11 core zebra finch calls to meanings using long-term observations and machine learning, demonstrating two-way communication potential and earning the $100,000 Coller-Dolittle prize. The work reveals signature vocal identities and how birds can confuse similar-meaning calls, marking a milestone toward human–animal dialogue and optimism for further breakthroughs by 2030.
A cross-species analysis finds most signaling/communication rates cluster around 0.5–4 Hz (roughly 2 beats per second), observed across insects, birds, mammals, and even humans, suggesting a brain-friendly tempo that may help grab attention; computer modeling shows neural circuits respond strongest at 2 Hz, supporting the idea of a universal carrier rhythm, though researchers caution that sampling biases and the vast diversity of signals mean more work is needed.
UC Berkeley researchers studied 15 sperm whales over four years, attaching underwater microphones and analyzing codas; they found two frequency-based, vowel-like click types (a and i) that can form diphthongs, with different pods using distinct frequencies—suggesting regional accents and a highly complex system similar in pattern to human speech, published in Proceedings of the Royal Society B.
Northwestern researchers find that many species signal at about 2 Hz (roughly two pulses per second), suggesting a brain-based resonance that makes this tempo easy to process. This universal timing, within a 0.5–4 Hz band, aligns with human speech and popular music around 120 BPM and may reflect a neural constraint rather than body size, offering a baseline for attention and cross-species communication.
Sperm whales’ codas show vowel-like differences and tonal patterns arranged in multi-layered structures that closely resemble human phonology, suggesting parallel evolution of language-like signals. The findings from Project CETI and UC Berkeley researchers, published in Proceedings B, push forward the goal of understanding whale speech and eventually enabling interspecies communication, though significant work and funding remain.
New analysis of 3,948 sperm whale codas from 15 individuals finds two formant-based coda types (a-codas and i-codas) with timing and contextual rules resembling human phonology, indicating a highly structured communication system that stops short of being language. Project CETI frames this as a major step toward decoding whale speech and understanding language evolution.
New research shows honey bees adjust their waggle dance based on audience engagement: when fewer hive mates observe, dancers wander more and the signal becomes less precise, indicating the dance is a flexible, socially influenced communication rather than a fixed message about food location.
An Amherst College artist demonstrates how cheap sensors, AI and signal processing let us hear inaudible frequencies—from infrasonic waves of oceans, storms and glaciers to ultrasonic chatter of bats and spiders—and reveals a growing Earth-wide soundscape that expands our perception and even aims to decode animal language.
New research shows a horse’s whinny comes from two sources—low-frequency vocal cord vibrations and a whistle-like high pitch from the larynx—revealing a rare mammalian biphonation that may support different communication ranges or express emotion.
Researchers show the horse whinny is produced by two simultaneous sounds: a low-frequency vibration from the vocal folds and a high-pitched whistle created as air passes through laryngeal cartilage. This biphonation—a rare multi-tone vocalization—may convey complex social messages. Endoscopic observations and ex vivo larynx experiments (including helium tests) confirmed the mechanisms, placing horses among a small group of species capable of such vocal tricks.
Alex the parrot, an African gray, revolutionized our understanding of animal intelligence through his ability to use words, ask questions, and demonstrate self-awareness, challenging previous beliefs about animal cognition and consciousness.
In 1984, scientists at the NMMF observed unusual human-like vocalizations from beluga whales, especially NOC, who could mimic speech by manipulating his nasal passages and melon shape, highlighting the complex vocal abilities of belugas and their unique communication methods.
Scientists are studying and recording the unusual sounds made by fish underwater, revealing that their vocalizations are more mysterious than commonly thought.
AI is being used to decode and understand animal speech, revealing complex communication patterns in species like bonobos, whales, and birds, and raising questions about whether animals can have their own languages or even talk back to humans.
Scientists are developing an 'animal internet' by creating devices like dog phones and touchscreens for parrots to enhance communication and interaction with animals.