Speaker Diarization: Optimal Clustering and Learning Speaker Embeddings
Microsoft
Speaker Diarization: Optimal Clustering and Learning Speaker Embeddings
Speaker diarization consist of automatically partitioning an input audio stream into homogeneous segments (segmentation) and assigning these segments to the same speaker (speaker clustering). This process can allow to enhance the readability by structuring an audio document, or provide the speaker’s true identity when it’s used in ...
Feb 8, 2016
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