apptek-com/apptek_callcenter_dialogues
AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR AppTek Call-Center Dialogues is a long-form conversational speech dataset for automatic speech recognition (ASR), featuring diverse English accents across multiple service-oriented domains and designed to evaluate models on realistic call-center interactions. 128.6 hours of speech 14 English accent groups 16 service domains 5–15 minute conversations (long-form) Split-channel audio (one… See the full description on the dataset page: https://huggingface.co/datasets/apptek-com/apptek_callcenter_dialogues.
| Author / organization | apptek-com |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 4.3K (as reported by Hugging Face) |
| Likes | 40 |
| Created | 23 April 2026 |
| Last updated at source | 25 August 2026 |
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Connected in the knowledge graph
- futo-org/asr4all-mModel · used to train
- AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASRPaper · cites
- futo-org/asr4all-sModel · used to train
- futo-org/asr4all-lModel · used to train
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