Multilingual Call Center Audio Dataset - 3.65 M Hours, Dual-Channel, Premium Metadata (Gender, Age, Industry) | Audio Data
Overview
Multilingual Call Center Audio Dataset - 3.65 M Hours, Dual-Channel, Premium Metadata (Gender, Age, Industry) | Audio Data is an audio and text dataset. The provider states a volume of 3,650,000 hours. Typical applications include speech recognition, speaker recognition, LLM pre-training and 1 more. Relevant sectors: Science & Research. The listing mentions transcription and speaker labels. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Stated volume of 3.7M hours.
- Listing mentions transcription, speaker labels.
This dataset offers a large-scale multilingual speech corpus covering 54 global languages, including Arabic, Hindi, English (US/UK/India), Mandarin, Spanish, French, and more. The dataset includes both single-channel and dual-channel audio recordings, making it ideal for training and evaluating Automatic Speech Recognition (ASR), speaker diarization, and conversational AI systems. Key Features: ▪ 54 languages with regional diversity ▪ Single-channel & dual-channel recordings ▪ Multiple accents and dialects ▪ Clean and noisy environments ▪ Scalable dataset size (customizable) ▪ Optional transcriptions and metadata available Supported Languages: Arabic, Assamese, Bengali, Chinese, English (US/UK/India), Filipino, French, German, Gujarati, Hindi, Italian, Japanese, Kannada, Korean, Malayalam, Marathi, Nepali, Odia, Punjabi, Russian, Somali, Spanish, Swahili, Tamil, Telugu, Urdu, Yoruba, and more. Use Cases: ▪ Automatic Speech Recognition (ASR) ▪ Voice assistants & chatbots ▪ Speaker identification & diarization ▪ Speech analytics ▪ Multilingual NLP model training Data can be customized based on language, duration, audio quality, and annotation requirements. Delivery formats include WAV, FLAC, and JSON/CSV transcripts. Suitable for AI companies, research labs, and enterprises building speech-enabled products.
Related datasets
More in Speech & Audio →Podcast Audio Data | Egyptian Arabic Multi-Speaker Dialogue Audio Corpus | 10,000+ Hours with Full Transcription | .WAV .JSON
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording ‣ Recording content:…
- Language
- Arabic
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition