Sentence examples for speech recognizer accuracy from inspiring English sources

However, as the continuous speech recognizer accuracy is higher than 60%, it is possible to use this recognizer to semi-automatically obtain new data for training.

It is an algorithm that aims at computational gains for large vocabulary speech recognizers without sacrificing accuracy or robustness.

In the paper Ageing voices: the effect of changes in voice parameters on ASR performance the authors R. Vipperla, S. Renals, and J. Frankel analyse different properties of the speech signal which may be responsible for the decrease in the accuracy of a speech recognizer for elderly speakers.

The proposed subword unit based speech recognition framework is shown to provide equivalent accuracy to a whole-word based speech recognizer while enabling detection of oral reading events and finer grained speech analysis during recognition.

The speech recognizer takes about 12 times longer than the duration of a given message to produce a transcript.

But devising a speech recognizer that worked consistently and accurately in real-world situations proved to be much harder than anyone had anticipated.

Four institutions — B.B.N., I.B.M., Stanford Research Institute, and Carnegie Mellon University — were selected as contractors, and each was given the same guidelines for developing a speech recognizer with a thousand-word vocabulary.

A speech recognizer, by learning the relative frequency with which particular words occur, both by themselves and within the context of other words, could be "trained" to make educated guesses.

has the best speech recognizer, but will need a year to catch up on other services.

A special hardware is developed for glottal vibration acquisition which is an MFCC based speech recognizer.

Speech segments that passed the filter are processed by a query-driven speech recognizer.