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Dataset
otoearth

otoearth/otoSpeech-full-duplex-turn-104h

Dataset Card for otoSpeech-full-duplex-turn-104h Contact Website: https://oto.earthEmail: agent@oto.earth Dataset Summary otoSpeech-full-duplex-turn-104h is an English, full-duplex conversational speech dataset for research on turn-taking and related spoken-dialogue phenomena. It contains 420 two-speaker conversations totaling approximately 104.94 hours. Each conversation includes time-aligned, channel-separated audio, a stereo combined recording… See the full description on the dataset page: https://huggingface.co/datasets/otoearth/otoSpeech-full-duplex-turn-104h.

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1
TINIX TRENDING·Chủ đề: interruption

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1
TINIX TRENDING·Chủ đề: overlap

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1
TINIX TRENDING·Chủ đề: backchannel

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🎙️ Bộ dữ liệu giọng nói full-duplex với nhãn turn-taking chi tiết

420 cuộc trò chuyện hai người, 104,94 giờ, bao gồm âm thanh tách kênh, phụ đề thời gian thực và metadata.

otoSpeech-full-duplex-turn-104h là bộ dữ liệu giọng nói đối thoại full-duplex bằng tiếng Anh, phát triển bởi oto.earth, dùng cho nghiên cứu turn-taking và các hiện tượng ngôn ngữ nói như chèn xen, cắt gián đoạn, backchannel, sự chồng lấn và sự kiện phi giọng nói.

✨ Điểm nổi bật

  • Số liệu thống kê: 420 cuộc trò chuyện, khoảng 105 giờ, mỗi WAV 48 kHz 32-bit float
  • Cấu trúc thư mục: mỗi cuộc trò chuyện là một thư mục riêng với metadata.json, âm thanh speaker 1/2 và combined stereo
  • Tệp SRT: nhãn thời gian mili giây kèm nhãn sự kiện và văn bản
  • 17 nhãn sự kiện: Acknowledgement Backchannel, Interruption, Overlap, Floor Hold, Fillers, Laughter, Non Speech Events...
  • Gated access: yêu cầu xác thực và mô tả mục đích sử dụng trước khi tải
  • License: cấm dùng cho nhận diện danh tính giọng nói, clone giọng nói, hoặc mục đích thương mại ngoại lệ

💡 Vì sao đáng chú ý

Khác với bộ dữ liệu giọng nói đơn giản, bộ dữ liệu này giữ nguyên các hiện tượng tự nhiên trong đối thoại thực tế như ngắt lời, chèn xen và backchannel. Đây là tài nguyên hiếm hoi hỗ trợ huấn luyện và đánh giá mô hình full-duplex, endpointing, source separation và conversational ASR. Phù hợp cho nghiên cứu học thuật, benchmarking hệ thống và phát triển mô hình AI xử lý giọng nói tương tác tự nhiên.


#AudioDataset #TurnTaking #FullDuplex #SpeechRecognition #TiniX

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