Sentence examples for speaker evaluation from inspiring English sources

Exact(3)

The fact that only the speaker evaluation is included in epistemic adverbs can also argue for their availability for expressing future reference, contrary to epistemic verbs.

Epistemic marking by adverbs does not include a source of information for the epistemic evaluation of the speaker: epistemic adverbs are monodeictic, while epistemic verbs are bi-deictic (Abraham and Leiss 2009: 13) including both the speaker evaluation and the source.

Furthermore, assessment of learners' needs and speaker evaluation may be inconsistently used for planning purposes[ 8, 10].

Similar(57)

Six teams from five research labs submitted their systems to the Albayzin 2010 speaker diarization evaluation.

According to the first definition in 1999 NIST Speaker Recognition evaluation, the identification of audio regions based on a given speaker is a tracking speaker task [2].

This system has also achieved a significant improvement on the NIST 2008 speaker recognition evaluation (SRE) telephone task data compared to state-of-the-art approaches.

We reported results on the male English trials of the core condition of the NIST 2008 Speaker Recognition Evaluation (SREs) dataset.

The Albayzin 2010 speaker diarization evaluation results were presented for five of the six teams from four Spanish (EHU, UVigo, UZ, UAM) and one Portuguese (UC) university.

The original description of the speaker diarization evaluation can be found in[18], where the systems are related to their corresponding research labs explicitly.

The annotated recordings comprise a total duration of 88 hours, but for the Albayzin 2010 speaker diarization evaluation a subset of 8 recordings totaling approximately 30 hours was selected.

Cosine distance scoring Fig. 1 Verification process in pauses MFCC biometric speaker verification evaluation system mathrm{C}mathrm{D}mathrm{S}left w1,w2right)=frac{w1*w2}{leftVert w1rightVert leftVert w2rightVert }, (4 where w1 and w2 are i-vectors, was used to obtain a likelihood measure between verified and tested i-vector.

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