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Figure 1 | EURASIP Journal on Advances in Signal Processing

Figure 1

From: Discriminative likelihood score weighting based on acoustic-phonetic classification for speaker identification

Figure 1

Comparison of speaker identification results for noisy speech signals degraded by Aurora car noise with 20-dB SNR. All horizontal axes represent time in 10-ms- long frame. (a) Speech signal waveform (a TIMIT sentence utterance spoken as ‘How much allowance do you get?’). (b) Acoustic-phonetic class ID sequence. (c) Weight contours. (d) Unweighted scores. (e) Weighted scores.

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