Customer Service Audio Dataset [Raw Call Recordings, Multi-Industry, U.S.]

This dataset contains thousands of authentic audio recordings of customer calls to service teams across key U.S. industries. Captured from inbound support channels, these files reflect natural speech in real service contexts, with varied speaker accents, background noise, and emotion levels. Each recording involves only a customer and a customer service agent, preserving a realistic two-party call structure. Dataset includes: - Thousands of customer service call recordings (WAV/MP3, FLAC) - English language, native and accented speech - Real-world acoustic conditions (noise, silence, overlapping speech) - Dataset language: English (other languages on request) Use this dataset to: - Train speech-to-text engines on real-world, noisy support audio - Build speaker diarization and audio segmentation models - Simulate customer-agent voice interactions for LLM fine-tuning - Test multilingual or accent-robust audio pipelines - Develop acoustic models for call quality enhancement This audio-first dataset is ideal for ASR developers, call center AI builders, and speech researchers looking for real-life, labeled customer service calls. The more you purchase, the lower the price will be.