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Robert Provine, a neuroscientist and professor of psychology at the University of Maryland, examines laughter as a means of exploring mechanisms and evolution of vocal production, perception and social behavior. He examines laugh structure, compares human to chimp laughter, sociolinguistic contexts of laughter, the contagiousness of laughter, and pinpoints directions for future study. This article, originally printed in American Scientist 84. 1 (Jan-Feb, 1996): 38-47, is a more in-depth, scholarly article than the other, related article on laughter that I posted: Provine's "The Science of Laughter."

Dr Katie Slocombe and Dr Anne Schel, of the Department of Psychology at York, examined the degree of intentionality wild chimpanzees have over their alarm calls. The study shows that chimpanzees appear to produce certain alarm calls intentionally in a tactical and goal directed way--they are not simply fear-based reactions. In Uganda, the researchers presented wild chimpanzees with a moving snake model and monitored their vocal and behavioural responses. They found that the chimpanzees were more likely to produce alarm calls when close friends arrived in the vicinity. They looked at and monitored group members both before and during the production of calls and critically, they continued to call until all group members were safe from the predator. Together these behaviours indicate the calls are produced intentionally to warn others of the danger. Dr Slocombe said: "These behaviours indicate that these alarm calls were produced intentionally to warn others of danger and thus the study shows a key similarity in the mechanisms involved in the production of chimpanzee vocalisations and human language. "Our results demonstrate that certain vocalisations of our closest living relatives qualify as intentional signals, in a directly comparable way to many great ape gestures, indicating that language may have originated from a multimodal vocal-gestural communication system."

Other, non-human primates have Broca's and Wernicke's areas in their brains, as do humans. In both species, the Broca's region represents non-linguistic hand and mouth movements. Evidence also suggests that both species may have mirror neurons in this region that are involved in understanding the actions and intentions of others. In both macaques and humans, this region is likely involved in producing orofacial expressions and in understanding the intentions behind orofacial expressions of others. In humans, it has evolved an additional communicative function, namely speech production. Interestingly however, it does not appear to be involved in monkey vocalizations, which are instead mediated by limbic and brainstem areas. In both species, the region represents non-linguistic hand and mouth movements. Evidence also suggests that both species may have mirror neurons in this region that are involved in understanding the actions and intentions of others. In both macaques and humans, this region is likely involved in producing orofacial expressions and in understanding the intentions behind orofacial expressions of others. In humans, it has evolved an additional communicative function, namely speech production. However, unlike in humans, Broca's area does not appear to be involved in monkey vocalizations, which are instead mediated by limbic and brainstem areas. Regarding Wernicke's area, which is responsible for language comprehension in humans, evidence suggests that the left superior temporal gyrus is specialized for processing species-specific calls in macaques, just as it is specialized for speech comprehension in humans.

Scientists say Koshik, an Asian elephant at a South Korean zoo, can imitate human speech, saying five Korean words readily understood by people who speak the language. The male elephant invented an unusual method of sound production that involves putting his trunk in his mouth and manipulating his vocal tract. Vocal mimicry is not a common behavior of mammals (unless you count humans). Researchers postulate Koshik was apparently so driven to imitate sounds that he invented the method of putting his trunk in his mouth and moving it around. They believe that he may have done this to bond with his trainers, as he was deprived of elephant companionship during a critical period of his childhood and spent years with humans as his only social contact. A video of Koshik with his trainer is embedded in the article.

Author Sena Moore writes about how music can re-wire our brains for speech. Singing and speaking activate similar areas on both sides of the brain, primarily in the motor production and sensory feedback areas. Singing, however, also activates the right hemisphere in some areas more strongly than the left. Speech is a left-hemisphere-dominate function. In other words, similar networks in the brain associated with vocal production are activated when a person is singing and when s/he is speaking. And the "stronger right hemisphere" activation supports the clinical observation that those who cannot speak because of damage to the left hemisphere speech areas known as Broca's area can still produce words by singing them.

A team of researchers from Rice University and University of Maryland, College Park argue that it is more productive from a developmental perspective to describe spoken language as a special type of music. A review of existing studies presents a compelling case that musical hearing and ability is essential to language acquisition. In addition, we challenge the prevailing view that music cognition matures more slowly than language and is more difficult; instead, the researchers argue that music learning matches the speed and effort of language acquisition, and indeed, that "it is our innate musical intelligence that makes us capable of mastering speech." They conclude that music merits a central place in our understanding of human development.

The researchers of this study advance the idea that spoken language is introduced to the child as a vocal performance, and children attend to its musical features first. Without the ability to hear musically, it would be impossible to learn to speak. In addition, they question the view that music is acquired more slowly than language (Wilson, 2012) and demonstrate that language and music are deeply entangled in early life and develop along parallel tracks. Rather than describing music as a "universal language," they find it more productive from a developmental perspective to describe language as a special type of music in which referential discourse is bootstrapped onto a musical framework. Newborn infants' extensive abilities in different aspects of speech perception have often been cited as evidence that language is innate (e.g., Vouloumanos and Werker, 2007). However, these abilities are dependent on their discrimination of the sounds of language, the most musical aspects of speech. Music has a privileged status that enables us to acquire not only the musical conventions of our native culture, but also enables us to learn our native language. Without the ability to hear musically, we would be unable to learn language.

This article describes a recent study in which scientists were able to use CT scans to generate 3-D models of Neanderthal ear structures. In the past, attempts to determine whether Neanderthals used language hinged on the hyoid bone, a single piece of the Neanderthal vocal tract. However, these scientists took a different approach by looking at the ears of Neanderthals to give clues about Neanderthal language. By running the ear models through computer programs, scientists were able to determine that the Neanderthal ear's "sweet spot" included higher frequencies characteristic of consonant production, and therefore human language. This is exciting because it gives scientists another piece in the puzzle of early human language development.

The urge to converse with animals is age-old, long predating the time when smartphones became our best friends. A new app, is the product of a growing interest in enlisting additional intelligences - machine-learning algorithms - to decode animal communication. The app detects and analyzes cat utterances in real-time, assigning each one a broadly defined "intent," such as happy, resting, hunting or "mating call." It then displays a conversational, plain English "translation" of whatever intent it detects. MeowTalk uses the sounds it collects to refine its algorithms and improve its performance, the founders said, and pet owners can provide in-the-moment feedback if the app gets it wrong. In 2021, MeowTalk researchers reported that the software could distinguish among nine intents with 90 percent accuracy overall. But the app was better at identifying some than others, not infrequently confusing "happy" and "pain," according to the results. Dogs could soon have their own day. Zoolingua, a start-up based in Arizona, is hoping to create an A.I.-powered dog translator that will analyze canine vocalizations and body language. Still, even sophisticated algorithms may miss critical real-world context and cues, said Alexandra Horowitz, an expert on dog cognition at Barnard College. For instance, much of canine behavior is driven by scent. "How is that going to be translated, when we don't know the extent of it ourselves?" Dr. Horowitz said in an email.