Continuous speech separation (CSS) is a recently proposed framework which aims at separating each speaker from an input mixture signal in a streaming fashion. Hereafter we perform an evaluation study on practical design considerations for a CSS system, addressing important aspects which have been neglected in recent works. In particular, we focus on the trade-off between separation performance, computational requirements and output latency showing how an offline separation algorithm can be used to perform CSS with a desired latency. We carry out an extensive analysis on the choice of CSS processing window size and hop size on sparsely overlapped data. We find out that the best trade-off between computational burden and performance is obtained for a window of 5 s.
Conversational Speech Separation: an Evaluation Study for Streaming Applications / Morrone, G.; Cornell, S.; Zovato, E.; Brutti, A.; Squartini, S.. - (2022), pp. 157-166. (Intervento presentato al convegno AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022 tenutosi a nld nel 2022).