Abstract
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.
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 language | English |
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Journal | Asilomar Conference on Signals, Systems and Computers. Conference Record |
Pages (from-to) | 538 - 541 |
ISSN | 1058-6393 |
DOIs | |
Publication status | Published - 2010 |
Event | 44th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, United States Duration: 7 Nov 2010 → 10 Nov 2010 |
Conference
Conference | 44th Asilomar Conference on Signals, Systems and Computers |
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Country/Territory | United States |
City | Pacific Grove |
Period | 07/11/2010 → 10/11/2010 |