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Masood Delfarah
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2020 – today
- 2024
- [c6]Takuya Higuchi, Avamarie Brueggeman, Masood Delfarah, Stephen Shum:
Multichannel Voice Trigger Detection Based on Transform-Average-Concatenate. ICASSP Workshops 2024: 510-514 - 2023
- [i3]Takuya Higuchi, Avamarie Brueggeman, Masood Delfarah, Stephen Shum:
Multichannel Voice Trigger Detection Based on Transform-average-concatenate. CoRR abs/2309.16036 (2023) - [i2]Avamarie Brueggeman, Takuya Higuchi, Masood Delfarah, Stephen Shum, Vineet Garg:
Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study. CoRR abs/2309.16060 (2023) - 2021
- [c5]Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir:
Dynamic Curriculum Learning via Data Parameters for Noise Robust Keyword Spotting. ICASSP 2021: 6848-6852 - [i1]Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir:
Dynamic curriculum learning via data parameters for noise robust keyword spotting. CoRR abs/2102.09666 (2021) - 2020
- [c4]Yuzhou Liu, Masood Delfarah, DeLiang Wang:
Deep Casa for Talker-independent Monaural Speech Separation. ICASSP 2020: 6354-6358 - [c3]Masood Delfarah, Yuzhou Liu, DeLiang Wang:
Talker-Independent Speaker Separation in Reverberant Conditions. ICASSP 2020: 8723-8727
2010 – 2019
- 2019
- [j2]Masood Delfarah
, DeLiang Wang
Deep Learning for Talker-Dependent Reverberant Speaker Separation: An Empirical Study. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1839-1848 (2019) - 2018
- [c2]Masood Delfarah, DeLiang Wang:
Recurrent Neural Networks for Cochannel Speech Separation in Reverberant Environments. ICASSP 2018: 5404-5408 - 2017
- [j1]Masood Delfarah, DeLiang Wang:
Features for Masking-Based Monaural Speech Separation in Reverberant Conditions. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 1085-1094 (2017) - 2016
- [c1]Masood Delfarah, DeLiang Wang:
A Feature Study for Masking-Based Reverberant Speech Separation. INTERSPEECH 2016: 555-559
Coauthor Index
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last updated on 2024-09-05 23:39 CEST by the dblp team
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