AIxBlock/English-USA-NY-Boston-AAVE-Audio-with-transcription
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… See the full description on the dataset page: https://huggingface.co/datasets/AIxBlock/English-USA-NY-Boston-AAVE-Audio-with-transcription.
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.