Improving Monaural Speaker Identification by Double-Talk Detection

Rahim Saeidi, Pejman Mowlaee, Tomi Kinnunen, Zheng-Hua Tan, Mads Græsbøll Christensen, Søren Holdt Jensen, Pasi Fränti

Research output: Contribution to journalConference article in JournalResearchpeer-review

2 Citations (Scopus)
186 Downloads (Pure)


This paper describes a novel approach to improve monoaural
speaker identification where two speakers are present in a
single-microphone recording. The goal is to identify both of
the underlying speakers in the given mixture. The proposed
approach is composed of a double-talk detector (DTD) as a preprocessor
and speaker identification back-end. We demonstrate
that including the double-talk detector improves the speaker
identification accuracy. Experiments on GRID corpus show that
including the DTD improves average recognition accuracy from
96.53% to 97.43%.
Original languageEnglish
JournalProceedings of the International Conference on Spoken Language Processing
Pages (from-to)1069-1072
Publication statusPublished - 26 Sep 2010
EventInterspeech 2010 - Makuhari, Japan
Duration: 26 Sep 201030 Sep 2010


ConferenceInterspeech 2010

Fingerprint Dive into the research topics of 'Improving Monaural Speaker Identification by Double-Talk Detection'. Together they form a unique fingerprint.

  • Cite this