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In terms of recognition performance, the best proposed hybrid RNNLM, a reduced-hybrid which uses a mixed input sequence of words and PMs, obtained 1.54 % relative WER reduction when compared with a conventional word-based RNNLM as hybrid input types provide more flexible unit choices for LM re-scoring.
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In terms of recognition performance, the best proposed hybrid RNNLM, which uses a mixed word-PM input, obtained 1.54 % relative WER reduction when compared with a conventional word-based RNNLM.
It is possible to extend the method to a mixed input mapping case, where the dynamic input mappings are for a mixture of port voltage and current signals.
A single-input single-output (SISO) model-based data driven controller is synthesized by using a mixed negative imaginary (NI) and small gain (SG) approach.
This study used a mixed methods design.
Variables were analysed using a mixed model.
The evaluation will use a mixed methods design.
We used a mixed method approach.
The evaluation used a mixed methods approach.
Triangulation process using a mixed methods approach.
We used a mixed method research design.
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