ACN - Custom Data Generation Service (bespoke recorded content, studio-produced/real-world, full enrichment stack delivered)
Overview
ACN - Custom Data Generation Service (bespoke recorded content, studio-produced/real-world, full enrichment stack delivered) is a multimodal dataset. Typical applications include speech recognition, speech synthesis (TTS), fine-tuning & instruction data and 2 more. Relevant sectors: Education. Pricing is not published and is provided on request.
Primary applications
ACN's Custom Data Generation Service produces bespoke, real recorded audio and video training data to precise buyer specification. This is true human-recorded content -- not synthetic, not AI-generated -- produced from the ground up by ACN's owned-and-operated studio network, active creator roster, and global talent sourcing capabilities. Buyers define exactly what they need: language, dialect, content scenario, speaker demographics, recording environment, and volume. ACN produces it, enriches it, and delivers it training-ready. Off-the-shelf catalog data reflects the content that was organically produced - the topics, speakers, demographics, and scenarios that naturally emerged from podcast production. Custom generation inverts this: the buyer defines the target distribution and ACN produces content to fill it precisely. This is the right product for teams who need data that doesn't yet exist, including specific clinical dialogues, technical domain vocabulary, underrepresented demographic profiles, scripted scenario variations, or language and dialect combinations not present in any existing catalog. WE PRODUCE Audio content: Long-form and short-form conversational dialogue, scripted and semi-scripted scenarios, monologue, interview, debate, panel, instructional, and narrative formats. Any language. Any register. Any acoustic environment from broadcast-grade studio to specified ambient conditions. Video content: Studio-produced talking-head, panel, interview, instructional,
Related datasets
More in Multimodal & Agent Training →Speech ML / DL Data | Customer–Agent Conv. (Single & Multi-Channel & Hard-to-Source Languages) | GDPR, CCPA Compliant | Native Speakers 180+ Co
Scope: Synthetic customer–agent interactions, available in dual-channel (per speaker) or single-channel mixes.
- Language
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- Volume
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- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
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