AI RESEARCH
AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR
arXiv CS.CL
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ArXi:2604.27543v1 Announce Type: new Evaluating English ASR systems for conversational AI applications remains difficult, as many publicly available corpora are either pre-segmented into short segments, consist of read or prepared speech, or lack explicit dialect annotations to evaluate robustness for a diverse user base. This work presents the AppTek Call-Center Dialogues corpus, a collection of spontaneous, role-played agent-customer conversations spanning fourteen English accents covering sixteen service-oriented scenarios.