Examples of using Human speech in English and their translations into Chinese
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The company now aims to expand its AI research and development team and extend its emotion-sensing technology beyond the face to leverage human speech.
Also this fall, Microsoft unveiled a system that can transcribe human speech with greater accuracy than professional stenographers.
But its vocalizations are similar to human speech in ways that make these birds a favorite of scientists studying memory and cognition.
Unlike parrots, elephants and Hoover the harbor seal, the great apes are not adept at mimicking sounds or even the basics of human speech.
The region that they focused on allows some birds to hone skills like tool use, planning for the future, learning birdsong, and mimicking human speech.
For example, if you are working with human speech data, then your first choice should be a mel-frequency cepstrum spectrogram.
The names which occur in human speech cannot be interpreted in any such invariable manner.
However, this process is much slower than the normal rate of human speech.
Google, Facebook, and Microsoft have collectively spent billions to fund the development of neural networks that can understand human speech or recognize faces in photos.
Artificial intelligence tasks like teaching computers to recognise images or human speech require vast amounts of data and computing power.
Her team's goal is to train computers to interpret the emotional content of human speech.
Like other training data, the language models are based on large amounts of real human speech, transcribed into text.
These intelligent programs are able to recognize human speech patterns and respond in any language the user prefers.
Siri, Cortana, and Google Now represent a huge leap in machine understanding of human speech.
The US researchers said the attack worked because the target microphone processed the audio and interpreted it as human speech.
Artificial intelligence tasks such as computer recognition of images or human speech are in great need of vast data and computing power.
What we say, and how we say it is the key to our brain's ability to error correct human speech.
A system such as this can learn, for example, to transcribe human speech or recognise a person's face in different photographs.
This is due to her artificial intelligence which allows her to hold eye contact, recognise faces and understand human speech.
Like, now workstations are capable of transcribing human speech wat much better than people.