Customer Support Audio Dataset Speech | Frustration & Churn Signals | Emotional Speech
Overview
Customer Support Audio Dataset Speech | Frustration & Churn Signals | Emotional Speech is an audio dataset. Typical applications include speech recognition, fine-tuning & instruction data, conversational AI and 1 more. Relevant sectors: AI & Machine Learning, Customer Service and Education. The listing mentions timestamps and classification labels. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Listing mentions timestamps, classification labels.
Each audio file captures a real support conversation with emotional intensity, including refund requests and repeated unresolved issues. Dataset includes: - Customer-agent call recordings with labeled escalation triggers - Emotional audio cues (raised voice, interruptions, urgency tones) - Optional: timestamp metadata and industry classification - Dataset language: English (other languages on request) We provide custom datasets on demand: - Multi-language datasets - Calls from various countries - Calls to companies in specific industries (healthcare, banking, e-commerce, etc.) Use this dataset to: - Train voice AI models to detect escalation risks in real-time - Build speech-based churn prediction engines - Fine-tune LLMs and bots with real emotional tone inputs - Study audio-based frustration markers across verticals - Improve support routing or triage models based on live voice cues Perfect for voice AI teams, CX analysts, and researchers working on emotional speech, call scoring, and risk detection in real-time support environments. The more you purchase, the lower the price will be.
Related datasets
More in Multimodal & Agent Training →Speech Data | 25,000 Hours of Customer Support Calls with Transcripts for ASR & Voice AI
This dataset features 25,000 hours of real, non-synthetic customer service speech data and call audio across industries such as retail, banking, entertainment,…
- Language
- —
- Volume
- 25k h
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
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