Multi-Scale Speaker Embedding-Based Graph Attention Networks For Speaker Diarisation
Multi-Scale Speaker Embedding-Based Graph Attention Networks For Speaker Diarisation
The objective of this work is effective speaker diarisation using multi-scale speaker embeddings. Typically, there is a trade-off between the ability to recognise short speaker segments and the discriminative power of the embedding, according to the segment length used for embedding extraction. To this end, recent works have proposed the …