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ORCIDOmid Ghahabi
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2020 – today
- 2021
[c13]Omid Ghahabi, Volker Fischer:
EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III. Interspeech 2021: 4379-4382- [i4]Omid Ghahabi, Volker Fischer:
EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III. CoRR abs/2106.11075 (2021) - 2020
- [p1]Omid Ghahabi, Pooyan Safari, Javier Hernando:
Deep Learning in Speaker Recognition. Development and Analysis of Deep Learning Architectures 2020: 145-169 - [i3]Omid Ghahabi, Volker Fischer:
EML System Description for VoxCeleb Speaker Diarization Challenge 2020. CoRR abs/2010.12497 (2020)
2010 – 2019
- 2019
- [c12]Omid Ghahabi, Volker Fischer:
Speaker-Corrupted Embeddings for Online Speaker Diarization. INTERSPEECH 2019: 386-390 - 2018
- [b1]Omid Ghahabi:
Deep learning for i-vector speaker and language recognition. Polytechnic University of Catalonia, Spain, 2018 - [j2]Omid Ghahabi, Javier Hernando:
Restricted Boltzmann machines for vector representation of speech in speaker recognition. Comput. Speech Lang. 47: 16-29 (2018) - [c11]Omid Ghahabi:
Deep Learning for i-Vector Speaker and Language Recognition: A Ph.D. Thesis Overview. IberSPEECH 2018: 184-188 - [c10]Omid Ghahabi, Volker Fischer:
EML Submission to Albayzin 2018 Speaker Diarization Challenge. IberSPEECH 2018: 216-219 - 2017
- [j1]Omid Ghahabi
, Javier Hernando:
Deep Learning Backend for Single and Multisession i-Vector Speaker Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 807-817 (2017) - 2016
- [c9]Omid Ghahabi, Antonio Bonafonte, Javier Hernando, Asunción Moreno:
Deep Neural Networks for i-Vector Language Identification of Short Utterances in Cars. INTERSPEECH 2016: 367-371 - [c8]Pooyan Safari, Omid Ghahabi, Javier Hernando:
From Features to Speaker Vectors by means of Restricted Boltzmann Machine Adaptation. Odyssey 2016: 366-371 - 2015
- [c7]Pooyan Safari, Omid Ghahabi, Javier Hernando:
Feature classification by means of deep belief networks for speaker recognition. EUSIPCO 2015: 2117-2121 - [c6]Omid Ghahabi, Javier Hernando:
Restricted Boltzmann Machine supervectors for speaker recognition. ICASSP 2015: 4804-4808 - [i2]Omid Ghahabi, Javier Hernando:
Deep Learning for Single and Multi-Session i-Vector Speaker Recognition. CoRR abs/1512.02560 (2015) - 2014
- [c5]Omid Ghahabi, Javier Hernando:
Global Impostor Selection for DBNs in Multi-session i-Vector Speaker Recognition. IberSPEECH 2014: 89-98 - [c4]Omid Ghahabi, Javier Hernando:
Deep belief networks for i-vector based speaker recognition. ICASSP 2014: 1700-1704 - [c3]Ganna Raboshchuk, Climent Nadeu, Omid Ghahabi, Sergi Solvez, Blanca Muñoz Mahamud, Ana Riverola de Veciana, Santiago Navarro Hervas:
On the acoustic environment of a neonatal intensive care unit: initial description, and detection of equipment alarms. INTERSPEECH 2014: 2543-2547 - [c2]Omid Ghahabi, Javier Hernando:
i-Vector Modeling with Deep Belief Networks for Multi-Session Speaker Recognition. Odyssey 2014: 305-310 - 2011
- [i1]Omid Ghahabi, Mohammad Hasan Savoji:
Adaptive Variable Degree-k Zero-Trees for Re-Encoding of Perceptually Quantized Wavelet-Packet Transformed Audio and High Quality Speech. CoRR abs/1101.3051 (2011)
2000 – 2009
- 2009
- [c1]Omid Ghahabi, Mohammad Hasan Savoji:
Re-encoding of perceptually quantized wavelet packet transform coefficients of audio and high quality speech. DPS 2009: 1-6
Coauthor Index
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