Sentences with phrase «understanding human speech»

This mushroom dog appears capable of understanding human speech, but is unable to verbally communicate back.
U.K. scientist Alan Wood obtained a Ph.D. in computer science from North Staffordshire Polytechnic (now Staffordshire University) in 1986 with research aimed at making computers better at understanding human speech.
The company believes that such cooperation will accelerate the development of the technology and ultimately lead to computers that can understand human speech without failing.
According to Independent, dogs are able to understand human speech better than we thought.

Not exact matches

It has been relegated to many narrow use cases involving pattern recognition and prediction (some of which are very valuable and useful, such as improving cancer detection, identifying financial risk and fraud, and other high performance computing applications), but it has not developed a general «understanding» of human interactions, human emotions, speech patterns and human responses to information.
But if you insist then I would say, Lahwla Walaqwa Alla Bilah, and then thank you for helping me to know and understand that those things you call for are not possible and all just ink on paper, unreal and just was and is being used for what is called propaganda and that all we will harvest being over here are flags in the name of practicing your human rights or your freedom of speech.
«Although such [explicit] revelation can not be necessary to the constitution of human existence, it can very well be necessary to the objectification of existence, in the sense of its full and adequate understanding at the level of explicit thought and speech
Recording the movement of the human tongue during speech has been a 50 - year - long uphill battle for researchers trying to better understand speech impediments.
In speech it's very difficult to get at a lot of things that we want to understand, because humans aren't willing to have needles and probes stuck through their vocal tracts.
«This finding opens up a huge avenue of research in parrots, in trying to understand how parrots are processing the information necessary to copy novel sounds and what are the mechanisms that underlie imitation of human speech sounds,» said Mukta Chakraborty, a post-doctoral researcher in the lab of Erich Jarvis, an associate professor of neurobiology at Duke and a Howard Hughes Medical Institute Investigator.
Research into how the brain processes time, sound and movement has implications for understanding how humans listen to music and speech, as well as for treating diseases like Parkinson's.
«They help us to understand how the FOXP2 gene might have been important in the evolution of the human brain and direct us towards neural mechanisms that play a role in speech and language acquisition.»
An adolescent orangutan called Rocky could provide the key to understanding how speech in humans evolved from the time of the ancestral great apes, according to new research.
Brain Institute demonstrates in songbirds the necessity of this neural circuit to learn vocalizations at a young age, a finding that expands the scientific understanding of some contributing factors in speech disorders in humans.
Humans use both words and intonation to understand speech.
The results reveal important insights into the neural networks needed to understand speech, hinting that perhaps both humans and dogs may have relied on similar networks that were already in place before language evolved, and later adapted to process speech.
The findings could have implications for how scientists understand the evolution of primate vocalizations and human speech.
The scientists say their study, published in Frontiers of Neuroscience, opens a pathway to studying bat brains in order to understand certain human language disorders and potentially even improving computer speech recognition.
For humans to understand speech and for other animals to know each other's calls, the brain must distinguish short sounds from longer sounds.
The study, reported 4 December in PLoS Biology, suggests that bird brains can help scientists understand speech and speech disorders in humans.
Our current understanding is that mice have either no — or extremely limited — neural circuitry and genes similar to those that regulate human speech.
The scientists say their study, published in Frontiers in Neuroscience, opens a pathway to studying bat brains in order to understand certain human language disorders and potentially even improving computer speech recognition.
Translated into the human speech, scientists are coming into the understanding step by step, that the memory is not placed just in (or at the place of) some part of the body, as is for example the brain.
Yes... the SCC decision provides a narrow understanding of hate speech, but I am glad the SCC considers Human Rights Code provision on hate speech is still relevant in today's society and still address very major and unrelenting issues such as opinions and expressions that continue to expose a group to hatred.
I suspect this is related to the differing understanding of free speech and free expression, especially in the context of Canadian Charter and human rights jurisprudence.
The company's software can recognize the human voice, record conversations, and keep track of each instance in which the software failed to understand speech, according to VocalIQ's website.
According to word error rate (WER) measurements, [Yandex's] SpeechKit provides world - best accuracy for spoken Russian recognition, enabling Alice to understand speech with a near human - level accuracy.
Amazon on Wednesday made the AI and voice - recognition software that powers the company's Alexa virtual assistant available to all its cloud - computing customers.Called Amazon Lex, the service will allow developers to make chat bot applications using Alexa's voice recognition technology and leverage the AI's deep learning abilities to enable their apps to understand more text and speech queries.Amazon CTO Werner Vogels said that Amazon's cloud - based work in processing how humans write and speak would make chat bots more helpful than the clunky tools they've been in the past.
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