datasets
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conversational-streaming-asr-benchmark
SquadStack Conversational Streaming ASR Benchmark (8 kHz)
Version 1.0.0 · maintained by SquadStack
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Key takeaways
What this is. 863 real Hindi–English telesales calls (5.53 hours of customer speech, 8 kHz phone audio), human-transcribed turn by turn, and 11 speech recognisers scored on them. The question it answers: which recogniser should run inside an Indian voice agent, judged on… See the full description on the dataset page: https://huggingface.co/datasets/Squadstack/conversational-streaming-asr-benchmark.Sagarmatha-ASR-Nepali-Diamond-V3
Dataset Card for Sagarmatha ASR Nepali Diamond V3
Dataset Summary
Sagarmatha ASR Nepali Diamond V3 is a large-scale, production-grade Automatic Speech Recognition (ASR) dataset designed for the Nepali language. The corpus contains 265.7 hours of verified, 16 kHz audio paired with strictly normalized Devanagari transcriptions. It was compiled and curated primarily for the fine-tuning of state-of-the-art multilingual acoustic models, including OpenAI's Whisper… See the full description on the dataset page: https://huggingface.co/datasets/tonibirat/Sagarmatha-ASR-Nepali-Diamond-V3.