Sold by: InfoBay AI Ltd.
Deployed on AWS
AI training datasets for Speech Recognition (ASR), NLP, Conversational AI, Voicebots, LLM fine-tuning, Healthcare AI, and Multilingual AI applications. Includes 2.12M+ hours of audio data, call center conversations, podcasts, speaker diarization, and human-annotated datasets across multiple languages and domains.
Overview
Enterprise Audio Dataset for Speech AI, Conversational AI & LLM Training
This dataset is a large-scale multilingual audio corpus designed for training and evaluating Speech AI, Conversational AI, Automatic Speech Recognition (ASR), NLP, Generative AI, and LLM-powered enterprise systems.
The dataset includes real-world conversational audio collected across customer support, contact centers, healthcare, podcasts, virtual assistants, enterprise communication, and spontaneous speech environments. The corpus captures authentic conversational characteristics including accents, pauses, silence patterns, emotional variation, overlapping speech, and natural human interactions.
The dataset supports a wide range of enterprise AI applications including ASR systems, Speech-to-Text (STT), Voice AI, Contact Center AI, speaker diarization, sentiment analysis, conversational intelligence, virtual assistants, RLHF pipelines, Supervised Fine-Tuning (SFT), and LLM alignment workflows.
Key features include:
Large-scale multilingual conversational audio Real-world enterprise speech environments Single-channel and dual-channel audio Human-annotated and validation-ready workflows Support for transcription, sentiment labeling, and speaker modeling Production-ready AI training pipelines
The dataset is compatible with modern speech and NLP architectures and can be used for foundation model training, enterprise automation, customer service AI, telecom AI, healthcare AI, and multilingual conversational systems.
Audio quality has been evaluated using industry-standard signal and perceptual quality metrics including DNSMOS, SNR analysis, loudness normalization, clipping analysis, and SQUIM-based evaluation to ensure production-level reliability for AI training workflows.
The multilingual corpus includes audio data across multiple global languages including Arabic, Bengali, Chinese, English, Filipino, French, German, Hindi, Japanese, Korean, Malayalam, Mandarin, Marathi, Punjabi, Russian, Spanish, Swahili, Tamil, Telugu, Urdu, Yoruba, and additional regional languages.
Data is procured through formal agreements and generated during the ordinary course of business operations. Custom data collection, annotation, transcription, validation, and synthetic data generation services are also available based on enterprise requirements.
This listing contains sample data intended for research, evaluation, and educational purposes. Enterprise licensing and full corpus access are available upon request.
InfoBay AI Email: taha.alvi@infobay.ai Phone: +91 9236354075
Highlights
- Large-scale multilingual audio datasets for ASR, Speech Recognition, Conversational AI, Voice AI, and LLM training workflows. Includes real-world conversational speech collected from enterprise and customer support environments.
- Supports enterprise AI applications including Speech-to-Text (STT), Contact Center AI, speaker diarization, sentiment analysis, RLHF, Supervised Fine-Tuning (SFT), and conversational intelligence systems.
- Production-ready AI training data with multilingual coverage, dual-channel audio support, human annotation workflows, and quality validation using DNSMOS, SNR, and perceptual audio evaluation metrics.
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Dimensions summary
This listing uses a single pricing dimension, Product Access (Units), offered at no cost. There are no tiers, instance sizes, or usage add-ons to compare. Subscribing grants you access to the call center audio dataset covering 54 languages with dual-channel agent and customer tracks. The free dimension provides entry to the data; detailed coverage, format, and licensing scope are reviewed with the vendor before delivery. You can request a scoped sample to evaluate format and suitability before any larger engagement.
Top-of-mind questions for buyers
Product Access grants entry to the call center audio dataset at no cost. Delivery is not automatic. The vendor reviews data handling, licensing scope, and privacy requirements for the selected corpus before delivery. You scope coverage, format, and sample with the vendor first, then receive the agreed data.
Dual-channel audio keeps agent and customer speech on separate tracks, which supports speaker diarization and conversation analytics. Separate tracks are available for English (US/UK/IN), French, Arabic, Nepali, Bengali, Swahili, and more. The data covers real call center conversations across industry verticals rather than scripted speech.
Yes. The vendor supports scoped sample requests so you can review format, coverage, and suitability before a larger discussion. Each engagement begins by defining your model, languages, and volume. The vendor then scopes a sample and licensing path with you against a quality baseline.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Multilingual Audio Dataset | All historical revisions | All future revisions | Not included | Not included |
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