Natural Audio Data | Real Customer Call Recordings for AI Voice Assistant Training

In-depth Description: This dataset comprises natural, unscripted audio recordings from real-world customer service calls, providing high-quality material for training speech-aware AI systems, automatic transcription engines, and customer experience analytics. All recordings are: - Original, not synthetically generated - Captured from real customer-agent interactions across 160+ industries - Available in OGG, FLAC and aligned with transcriptions Each record includes: - Raw audio file of the customer service call (typically 3–15 minutes) - Accompanying human transcription and summary - Call duration, timestamp, and caller location (city, state, country) - Sentiment label: positive, neutral, or negative - Company reference (optional) Use this dataset to: - Train speech-to-text models using real-world, non-scripted data - Build natural voice interaction systems or audio-aware LLMs - Simulate real support situations for AI customer service agents - Perform sentiment analysis on spoken language - Support multilingual or accent-aware voice modeling (future expansion possible)