This Mandarin speech dataset features real-world call center conversations from the Telecom domain. With detailed metadata and accurate transcriptions, it’s designed to power ASR systems, voice AI, and conversational agents.
Category
Unscripted Call Center Conversations
Total Volume
30 Speech Hours
Last updated
June 2025
Number of participants
60
This Mandarin Chinese Call Center Speech Dataset for the Telecom industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Mandarin-speaking telecom customers. Featuring over 30 hours of real-world, unscripted audio, it delivers authentic customer-agent interactions across key telecom support scenarios to help train robust ASR models.
Curated by FutureBeeAI, this dataset empowers voice AI engineers, telecom automation teams, and NLP researchers to build high-accuracy, production-ready models for telecom-specific use cases.
The dataset contains 30 hours of dual-channel call center recordings between native Mandarin Chinese speakers. Captured in realistic customer support settings, these conversations span a wide range of telecom topics from network complaints to billing issues, offering a strong foundation for training and evaluating telecom voice AI solutions.
This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral ensuring broad scenario coverage for telecom AI development.
This variety helps train telecom-specific models to manage real-world customer interactions and understand context-specific voice patterns.
All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.
These transcriptions are production-ready, allowing for faster development of ASR and conversational AI systems in the Telecom domain.
Rich metadata is available for each participant and conversation:
This metadata supports fine-grained analysis, dialect-specific tuning, and precise dataset segmentation.
This dataset is ideal for a range of telecom AI and NLP applications:
We regularly expand this dataset with new telecom voice data and support full customization:
This Telecom domain dataset is commercially licensed and ready for integration into Mandarin ASR, NLP, and voice AI solutions.
Call Center Conversational AI
ASR
Chatbot
Language Modelling
TTS
Speech Analytics
Dataset Sample(s)
Contact us to get the samples immediately for this dataset.
Language
Mandarin
Language code
zh-cn
Country
China
Accents
Anhui Sheng, Beijing Shi ...moreFujian Sheng, Gansu Sheng, Guangdong Sheng, Hebei Sheng, Heilongjiang Sheng, Henan Sheng, Hubei Sheng, Hunan Sheng, Jiangsu Sheng, Jiangxi Sheng, Jilin Sheng, Liaoning Sheng, Other, Qinghai Sheng, Shaanxi Sheng, Shanghai Shi, Sichuan Sheng, Tianjin Shi, Zhejiang Sheng
Gender Distribution
M:60, F:40
Age Group
18-70 Years
Environment
Silent, Noisy
Bit Depth
16 bit
Format
wav
Sample rate
8khz & 16khz
Channel
Stereo (dual-channel, separated speakers)
Audio file duration
5-15 minutes
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