用“speech recognition”造句大全，speech recognition造句

Yet if far from perfect, speech recognition software is good enough to be useful in more ways all the time.

The technology for converting the audio tracks of video via speech recognition to plain text indexed to time-code has been around for a while.

Even so, there are many current technologies, such as speech recognition, machine translation, and IBM's human-beating chess grandmaster Deep Blue, that would have seemed like AI at the beginning.

A speech recognition system must expend significant processing to turn your speech into text.

As an alternative to using speech recognition in your voice application, you can use DTMF.

CUE, he said, will offer "natural" speech recognition that doesn't require the user to acclimate the system.

The experimental results show that the introduction of similarity probabilities can improve speech recognition and it is unnecessary to design a codebook as large as 256 codewords.

Figure 1 shows the speech recognition and interpretation development flow.

David: No, don "t be silly, I" m trying out some new speech recognition software.

The browser gives the speech recognition engine one or a set of grammars with the valid user utterances.

The design and implementation of voice controlled system which contains speaker recognition and speech recognition are introduced.

It has been applied to closely related problems like speech recognition and to very different problems like robot navigation.

The resulting pronunciation candidates are used to expand pronunciation dictionary for non-native speech recognition.

Conclusion As long as the residual acoustic hearing covers the pitch range of the speaker, low frequency information restored by HA can greatly assist CI users in Chinese speech recognition in speech-shaped noise, no matter their frequecy ranges overlap or not.

The experiments also show that the audio-visual continuous speech recognition system is robust in noisy environments.

By taking advantage of the information retrieval technologies and the PULSAR, a high performance speech document retrieval system was developed, its three major modules are speech recognition, document indexing and playback.