activity
20202026
most citedNORESQA: A Framework for Speech Quality Assessment using Non-Matching References

24 citations · 99 across the 27 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

eess.AS2026

Speaker Tracking: Segment-online Multi-talker Organization with a Varying Number of Speakers

Vahid A. Kalkhorani, Daniel Wong, Jacob Donley +3

Speaker tracking is the task of separating and following multiple speakers over time. It must address overlapped speech, speech onset and offset, talker identity, and time-varying…

cs.CL2026

CHiME-9 ECHI: A Machine Learning Challenge for Enhancing Conversations to Address Hearing Impairment

Robert Sutherland, Thomas Kuebert, Marko Lugger +6

This work presents the task and results of the CHiME-9 challenge for Enhancing Conversations to address Hearing Impairment. The challenge considers the scenario of four-party conve…

cs.SD2026

Cloud-Boosted Low-Compute Multi-Channel Speech Enhancement

Xulin Fan, Juan Azcarreta, Ashutosh Pandey +5

Low-latency, low-compute speech enhancement is essential for wearable devices with real-time communication requirements, but strict computational constraints significantly limit on…

eess.AS2026

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement

Dongheon Lee, Ashutosh Pandey, Sanjeel Parekh +4

While the spatial directivity of multichannel speech enhancement algorithms improves with the number of microphones, fitting large capture arrays into real-world edge devices is ty…

cs.HC2026

Towards Localizing Conversation Partners using Head Motion

Payal Mohapatra, Calvin Murdock, Ali Aroudi +4

Many individuals struggle to understand conversation partners in noisy settings, particularly amid background speakers or due to hearing impairments. Emerging wearables like smartg…