Sentence examples for speech recognition test from inspiring English sources

The Hearing In Noise Test (HINT), a speech recognition test in which everyday sentences are presented with noise, was performed for patients with sufficient hearing (Hällgren et al. 2006).

To develop a set of monosyllable audiometry test material that can be used in speech recognition testing in Mandarin Chinese.

In speech recognition tests, dropout was shown to give significant improvements both in the case of pre-trained sigmoid networks [28] and ReLU networks [36], and now, it is a widely accepted tool in the training of DNNs for speech recognition.

Speaker adaptation in speech recognition task helps to reduce the mismatch between the training and test speakers and results in improved recognition performance for test speakers.

In speech recognition task, speaker adaptation tries to reduce mismatch between the training and test speakers.

In a speech recognition score (SRS) test, changing the presentation level had the strongest effect on sentence recognition, followed by the presence of disyllabic words.

It amounts to using the results of speech recognition on a test set of sentences as an empirical distribution of errors.

It might be observed that a mismatch between results of tests of speech recognition in noise and tests of pure-tone detection in quiet is largely justified, particularly in adults and older adults [ 51, 54, 55].

But what frustrated the Bakers more than waiting for time on the mainframe was IBM's refusal to test speech recognition under real-world conditions.

Both studies transcribed recordings from the Switchboard corpus, a collection of about 2,400 telephone conversations that have been used by researchers to test speech recognition systems since the early 1990s.

Based on the challenge task, and relying on well-proven methodologies from the speech recognition domain, we derive test scenarios with realistic noise and reverberation conditions, including matched as well as mismatched condition training.