A MAP Criterion for Detecting the Number of Speakers at frame level in Model-based Single-Channel Speech Separation

Pejman Mowlaee, Mads Græsbøll Christensen, Zheng-Hua Tan, Søren Holdt Jensen

Research output: Contribution to journalConference article in JournalResearchpeer-review

7 Citations (Scopus)
292 Downloads (Pure)


The problem of detecting the number of speakers for a particular segment occurs in many dif-
ferent speech applications. In single channel speech separation, for example, this information is
often used to simplify the separation process, as the signal has to be treated differently depending
on the number of speakers. Inspired by the asymptotic maximum a posteriori rule proposed for
model selection, we pose the problem as a model selection problem. More specifically, we derive
a multiple hypotheses test for determining the number of speakers at a frame level in an observed
signal based on underlying parametric speaker models, trained a priori. The experimental results
indicate that the suggested method improves the quality of the separated signals in a single-channel
speech separation scenario at different signal-to-signal ratio levels.
Original languageEnglish
JournalAsilomar Conference on Signals, Systems and Computers. Conference Record
Pages (from-to)538 - 541
Publication statusPublished - 2010
Event44th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, United States
Duration: 7 Nov 201010 Nov 2010


Conference44th Asilomar Conference on Signals, Systems and Computers
Country/TerritoryUnited States
CityPacific Grove

Cite this