Search Results for author: Omid Ghahabi

Found 3 papers, 0 papers with code

EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III

no code implementations21 Jun 2021 Omid Ghahabi, Volker Fischer

Speech Activity Detection (SAD), locating speech segments within an audio recording, is a main part of most speech technology applications.

Action Detection Activity Detection

EML System Description for VoxCeleb Speaker Diarization Challenge 2020

no code implementations23 Oct 2020 Omid Ghahabi, Volker Fischer

This technical report describes the EML submission to the first VoxCeleb speaker diarization challenge.

speaker-diarization Speaker Diarization

Deep Learning for Single and Multi-Session i-Vector Speaker Recognition

no code implementations8 Dec 2015 Omid Ghahabi, Javier Hernando

Given i-vectors as inputs, the authors proposed an impostor selection algorithm and a universal model adaptation process in a hybrid system based on Deep Belief Networks (DBN) and Deep Neural Networks (DNN) to discriminatively model each target speaker.

Speaker Recognition speech-recognition +1

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