Masayuki Suzuki

IBM Research AI Advances Speaker Diarization in Real Use Cases

In a recent publication, IBM researchers describe a novel speaker diarization algorithm that can consider not only speaker information, but also identifying clues about individual recording environments that help differentiate between the speakers, resulting in improved diarization accuracy for our in-house, real test cases as well as public benchmark data.

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