Conversation Audio Data | Conversational AI Training Data | US Audio Support Calls & Transcripts | Fine-tune LLMs

WiserBrand provides a massive, real-world conversational AI training dataset sourced from authentic customer service interactions across 160+ industries. To build conversational AI and voice agents that actually understand human intent, models need to learn from natural, unscripted dialogues—complete with interruptions, high-emotion speech, and complex problem-solving. This dataset gives you the exact "ground truth" conversational data required to move beyond the limitations of synthetic or scripted text. What’s Included in Conversation Audio Dataset: Each record provides the complete context of a customer-agent interaction, containing: - Conversational Audio: Dual-channel (stereo) support calls capturing real acoustic environments. - Verbatim Transcripts: Word-for-word text transcriptions of the dialogue. - Sentiment Labels: Each interaction is classified (positive, neutral, or negative). - Rich Metadata: Call duration, timestamp, caller location (City, State, Country), and industry domain (Retail, Telecom, Banking, etc.). Conversational AI Use Cases: This dataset is specifically structured for machine learning and NLP teams: - Fine-Tune LLMs & AI Agents: Teach your generative models how human support agents naturally handle objections, negotiate, and resolve complex issues. - Train Intent Detection Models: Use the paired transcripts and summaries to improve how your conversational AI categorizes customer requests. - Develop Voice AI: Use the raw conversational audio to trai