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This dataset captures spontaneous English conversations from native U.S. speakers across distinct regional and cultural accents, including:
🗽 New York English
🎓 Boston English
🎤 African American Vernacular English (AAVE)
The recordings span three real-life scenarios:
General Conversations – informal, everyday discussions between peers.
Call Center Simulations – customer-agent style interactions mimicking real support environments.
Media Dialogue – scripted reads and semi-spontaneous commentary to reflect media-style speech (e.g. news, interviews, podcasts).
🗣️ Speakers: Native U.S. English speakers of diverse ages and genders.
🎧 Audio Format: Stereo WAV files with separated left/right channels, ensuring high-quality speaker diarization and signal analysis.
💬 Speech Style: Naturally spoken, unscripted or semi-scripted where appropriate to reflect authentic cadence, tone, and variation.
📜 Transcriptions: Each audio file is paired with a carefully verified transcript, QA’d by subject matter experts for accuracy and consistency.
🔐 Usage Restriction: This dataset is provided for research and AI model fine-tuning purposes only. Commercialization and resale are strictly prohibited.
🎓 Brought to you by AIxBlock – a decentralized platform for AI dev and workflow automation.
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