3 citations · 4 across the 7 of their papers we have counts for
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eess.AS2021
One model to enhance them all: array geometry agnostic multi-channel personalized speech enhancement
Hassan Taherian, Sefik Emre Eskimez, Takuya Yoshioka +3
With the recent surge of video conferencing tools usage, providing high-quality speech signals and accurate captions have become essential to conduct day-to-day business or connect…
eess.AS2021★ 1 cited
Location-based training for multi-channel talker-independent speaker separation
Hassan Taherian, Ke Tan, DeLiang Wang
Permutation-invariant training (PIT) is a dominant approach for addressing the permutation ambiguity problem in talker-independent speaker separation. Leveraging spatial informatio…