Examples of using Automatic speech recognition in English and their translations into Chinese
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Automatic Speech Recognition.
Dialects for Your Automatic Speech Recognition.
Automatic Speech Recognition.
We know this technology as Automatic Speech Recognition.
Automatic Speech Recognition.
Natural Language Understanding and Automatic Speech Recognition.
Core automatic speech recognition.
Also called computer voice recognition or automatic speech recognition.
The team used automatic speech recognition technology to sift through more than 1,400 hours of recordings.
Hidden Markov models are the basis for most modern automatic speech recognition systems.
Large-scale automatic speech recognition is the first and most convincing successful case of deep learning.
Large-scale automatic speech recognition is the first and most convincing successful case of deep learning.
Given the automatic nature of the process,the problem may also be called Automatic Speech Recognition(ASR).
ASR, Automatic Speech Recognition is the ability of a machine to recognize human spoken words.
RIT researchers use deep learning to build automatic speech recognition system to help preserve the Seneca language.
ASR, Automatic Speech Recognition is the ability of a machine to recognize human spoken words.
Given the automatic nature of the process,the problem may also be called Automatic Speech Recognition(ASR).
It has several components: an automatic speech recognition(ASR) subsystem that transcribes a user's verbal requests;
Deep learning is part of state-of-the-art systems in various disciplines,particularly computer vision and automatic speech recognition(ASR).
These conversation bots use automatic speech recognition and natural language understanding to recognise the intent of the caller.
After trying our hand at computer vision,my friend and I shifted our attention to Automatic Speech Recognition(ASR) and natural language processing.
It is also known as automatic speech recognition(ASR), computer speech recognition, or speech to text(STT).
It was designed to provide data for the acquisition of acoustic-phonetic knowledge and to support the development andevaluation of automatic speech recognition systems.
The firm's speech recognition team previously led automatic speech recognition development for Apple's personal assistant Siri.
It provides automatic speech recognition for converting speech-to-text and natural language understanding to recognize the intent of the text.
Automatic speech recognition(ASR) technology is widely used to transcribe languages with millions or billions of speakers, like English and Mandarin.
Amazon Transcribe is an automatic speech recognition(ASR) service that makes it easy for you to add speech-to-text capability to your applications.
In 2017, Automatic Speech Recognition(ASR) will approach maturity and go from hype to everyday life, from a niche market technology to mainstream adoption.
Amazon Transcribe is an automatic speech recognition(ASR) service that makes it easy for developers to add speech-to-text capability to their applications.