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The field of speaker identification has recently seen significant advancement, but improvements have tended to be benchmarked on near-field speech, ignoring the more realistic setting of far-field-instrumented speakers. In this work we present several findings on far-field speech from the MIXER5 Corpus, in the areas of feature extraction, speaker modeling, and multichannel score combination. First,...
In recent years, the field of automatic speaker identification has begun to exploit high-level sources of speaker-discriminative information, in addition to traditional models of spectral shape. These sources include pronunciation models, prosodic dynamics, pitch, pause, and duration features, phone streams, and conversational interaction. As part of this broader thrust, we explore a new frame-level...
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