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: datareq@infobay.ai Phone: +91 8303174762
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.
Details
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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-based add-ons to compare. You subscribe once to gain access to the dataset. The dataset covers dual-channel and single-channel call center audio for speech recognition and diarization training. Because pricing is free with one access dimension, there is nothing that scales by volume, term, or quantity within the Marketplace listing itself.
Top-of-mind questions for buyers
It grants access to the call center audio dataset for automatic speech recognition and diarization training. The dataset includes dual-channel recordings, where agent and customer sit on separate tracks, plus single-channel audio. Recordings ship as WAV or FLAC with JSON transcripts, RTTM diarization files, and a metadata CSV.
No. The listing has one free access dimension with no metering. Nothing scales by hours, languages, industries, or channel type within the Marketplace listing. Scoping to a specific language, vertical, or volume happens through a separate engagement with the seller, not through Marketplace charges.
Each recording carries gender, age, industry, channel, dialect, and language tags. Dual-channel audio adds RTTM diarization labels. Coverage spans 45+ languages, including South Asian and African languages. Every batch passes duplicate removal, low-activity voice removal, PII detection and muting, and background-noise cleanup before delivery.
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Delivery details
AWS Data Exchange (ADX)
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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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