Audio Data: Real Call Center Conversations

WiserBrand provides **audio data** sourced from authentic consumer-to-business support call conversations. Unlike synthetic datasets, our repository of over 100,000 hours of speech data captures the true complexity of human interaction, natural speech patterns, and genuine emotions. With 1,600 new hours generated daily across 140,000 companies, this highly scalable resource empowers machine learning teams to train robust Voice AI and behavioral analysis models. Flexible, volume-based pricing ensures cost-effective scaling — the larger the volume you purchase, the lower the price will be.

**Data Access Note:**<br/>*Please note that the instant-access sample data provided in this listing contains text transcripts and call metadata. The corresponding high-fidelity audio files (OGG/FLAC) for these conversations are available upon request.*

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**Technical Specifications & Highlights:**

- **Channels:** Stereo, channel-separated (Crucial for isolating "Agent" vs. "Customer" voices).
- **Sample Rate:** 48kHz high-fidelity audio (Significantly superior to standard 8kHz telephony data).
- **Formats & Quality:** Delivered in OGG or FLAC formats at 192 kbps.
- **Privacy:** Strict PII redaction ensuring full GDPR and CCPA compliance.
- **Language & Customization:** English by default. Multi-language data and specific industry filtering (Healthcare, Banking, Telecom) are available on request.

**Use this audio data to:**

- Train robust ASR (Automatic Speech Recognition) models with distinct, high-quality voice capture
- Enhance Call Center AI, agent-assist tools, and automated QA using speaker-separated tracks
- Build precise Sentiment Analysis engines using genuine emotions from complex real-world calls
- Fine-tune conversational AI and LLMs with authentic human-to-human dialogue context

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