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cs.SD2026

SEABED: SouthEast Asian Benchmark for Evaluating Audio Reasoning

Harshit Rajgarhia, Asif Shaik, Rachuri Lokesh +2

Modern audio-language models are no longer judged only on what words they can transcribe, but on whether they can reason over what they hear: recovering meaning that lives in tone…

cs.SD2026

Voice or Stereotype? Disentangling Acoustic and Content-Based Gender in Speech-to-Speech Models

Xiaoqun Liu, Tanu Mitra, Harshit Rajgarhia +1

Speech-to-speech (S2S) models now run inside dubbing, translation, and voice agents. Unlike text models, they hear the speaker's voice, which carries the speaker's gender. A faithf…

cs.SD2026

DuplexWorld: Can voice agents help you get through the day?

Aryan Vijay Bhosale, Harshit Rajgarhia, Akhil Pothanapalli +3

Speech-to-speech (S2S) voice agents are increasingly being incorporated into enterprise for customer care and as daily companions for consumers owing to the ease of the conversatio…

cs.SD2026

TORUS: A Unified Closed-Loop Benchmark for Unified Audio Models

Aryan Vijay Bhosale, Harshit Rajgarhia, Abhishek Mukherji +1

Unified audio models capable of audio understanding, audio generation and, increasingly, audio editing are proliferating rapidly. However, each capability is evaluated in isolation…

cs.SD2026

MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio

Harshit Rajgarhia, Shuubham Ojha, Asif Shaik +4

Medical audio data is difficult to collect due to privacy regulations and high annotation costs arising from domain expertise. Thus, existing benchmarks tend to underrepresent comp…