Details

Autor(en) / Beteiligte

• Iso, K

Titel

Speaker clustering using vector quantization and spectral clustering

Ist Teil von

• 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.4986-4989

Ort / Verlag

IEEE

Erscheinungsjahr

2010

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• We present a speaker clustering method for conversational speech recordings that contain short utterances from multiple speakers. The proposed method represents a speech segment with a vector of VQ code frequencies and uses a cosine between two vectors as their similarity measure. The clustering is performed by a spectral clustering algorithm with cluster number estimation based on an eigen structure of the similarity matrix. We conducted experiments on five test sets with different utterance length distributions to compare the proposed method with the conventional approach based on a hierarchical agglomerative clustering using BIC stopping criterion. The results show that the proposed method significantly outperforms the conventional one in speaker diarization error rate and purity metrics.