A comprehensive study of speech separation: spectrogram vs waveform separation F Bahmaninezhad, J Wu, R Gu, SX Zhang, Y Xu, M Yu, D Yu Interspeech 2019, 2019 | 95 | 2019 |
Convolutional Neural Network Based Speaker De-Identification F Bahmaninezhad, C Zhang, JHL Hansen Odyssey 2018, 255-260, 2018 | 54 | 2018 |
UTD-CRSS systems for 2018 NIST speaker recognition evaluation C Zhang, F Bahmaninezhad, S Ranjan, H Dubey, W Xia, JHL Hansen ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 35 | 2019 |
The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016 K Lee, V Hautamäki, T Kinnunen, A Larcher, C Zhang, A Nautsch, ... Interspeech 2017, 2017 | 26 | 2017 |
i-vector/PLDA speaker recognition using support vectors with discriminant analysis F Bahmaninezhad, JHL Hansen ICASSP 2017-2017 IEEE International Conference on Acoustics, Speech and …, 2017 | 24 | 2017 |
I4u submission to NIST SRE 2018: Leveraging from a decade of shared experiences KA Lee, V Hautamaki, T Kinnunen, H Yamamoto, K Okabe, V Vestman, ... Interspeech 2019, 2019 | 23 | 2019 |
An investigation of domain adaptation in speaker embedding space for speaker recognition F Bahmaninezhad, C Zhang, JHL Hansen Speech Communication 129, 7-16, 2021 | 19 | 2021 |
Generalized Discriminant Analysis (GDA) for Improved i-Vector Based Speaker Recognition F Bahmaninezhad, JHL Hansen Interspeech 2016, 3643-3647, 2016 | 16 | 2016 |
UTD-CRSS submission for MGB-3 Arabic dialect identification: Front-end and back-end advancements on broadcast speech AE Bulut, Q Zhang, C Zhang, F Bahmaninezhad, JHL Hansen 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 11 | 2017 |
Context-dependent acoustic modeling based on hidden maximum entropy model for statistical parametric speech synthesis S Khorram, H Sameti, F Bahmaninezhad, S King, T Drugman EURASIP Journal on Audio, Speech, and Music Processing 2014, 1-21, 2014 | 10 | 2014 |
Compensation for Domain Mismatch in Text-independent Speaker Recognition F Bahmaninezhad, JHL Hansen Interspeech 2018, 1071-1075, 2018 | 7 | 2018 |
Speech synthesis based on gaussian conditional random fields S Khorram, F Bahmaninezhad, H Sameti Artificial Intelligence and Signal Processing: International Symposium, AISP …, 2014 | 6 | 2014 |
A unified framework for speech separation F Bahmaninezhad, SX Zhang, Y Xu, M Yu, JHL Hansen, D Yu arXiv preprint arXiv:1912.07814, 2019 | 4 | 2019 |
The I4U submission to the 2016 NIST speaker recognition evaluation KA Lee, H Sun, S Aleksandr, W Guangsen Proc. NIST SRE 2016 Workshop, 2016 | 4 | 2016 |
HMM-based persian speech synthesis using limited adaptation data F Bahmaninezhad, H Sameti, S Khorram 2012 IEEE 11th International Conference on Signal Processing 1, 585-589, 2012 | 2 | 2012 |
Average Voice Modeling Based on Unbiased Decision Trees F Bahmaninezhad, S Khorram, H Sameti Advances in Nonlinear Speech Processing: 6th International Conference …, 2013 | 1 | 2013 |
Automatic Speech Recognition Systems and Processes K Kumar, J Wu, B Ren, T Wu, F Bahmaninezhad, EC Lin, X Chen, ... US Patent App. 17/836,390, 2023 | | 2023 |
Bilingual Streaming ASR with Grapheme units and Auxiliary Monolingual Loss M Soleymanpour, MA Ismail, F Bahmaninezhad, K Kumar, J Wu arXiv preprint arXiv:2308.06327, 2023 | | 2023 |
Advancements in Domain Adaptation for Speaker Recognition and Effective Speaker De-Identification F Bahmaninezhad The University of Texas at Dallas, 2020 | | 2020 |
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences K Aik Lee, V Hautamaki, T Kinnunen, H Yamamoto, K Okabe, V Vestman, ... arXiv e-prints, arXiv: 1904.07386, 2019 | | 2019 |