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A baseline system was setup following [7].
The accuracy and precision of the baseline system was calculated.
The baseline system was initially designed as a phoneme level recognizer with three active states, one Gaussian per state, continuous, left-to-right, and no skip HMM models.
After the baseline system was built, several issues were noted such as discontinuities during vowel transitions in diphthongs and glide-vowel transitions.
The baseline system was trained on uncompressed data and tested on both the uncompressed and the compressed signals in the task of phoneme recognition and LVCSR.
As final result, a substantial improvement over the baseline system was obtained using the HRC feature, with a 78.28% recognition rate on a commonly used dataset.
Similar(53)
The baseline system is a standard Chinese recognizer.
To compare the performance of the proposed systems, an OFDM baseline system is considered.
This makes sense since the training data of the baseline system is already N eutral speech.
The baseline system is the same as in the Consonant Challenge.
Results of a baseline system are also provided along the database for fair comparison.
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