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Speechdata.ai
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KI-Impact-Score 95/100 · A
Die Organisation Speechdata.ai nutzt den llms.txt-Standard für eine bessere Auffindbarkeit durch KI-Systeme. Branche: KI & Machine Learning. Die Website www.speechdata.ai stellt ihre llms.txt unter https://www.speechdata.ai/llms.txt bereit. Der Eintrag besteht seit 15. Oktober 2026.
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https://www.speechdata.ai/llms.txt
Beschreibung
Speechdata.ai licenses conversational speech datasets in 60 languages and dialects for training and evaluating ASR, TTS and voice models. The recordings are spontaneous two-person conversations with separate speaker channels, time-aligned human-verified transcripts, speaker metadata and commercial consent documentation. The company also offers custom speech collection and audio annotation. Speechdata.ai is part of Spirelight.ai.
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# SpeechData.ai
> SpeechData.ai licenses conversational speech datasets in 60 languages and dialects for training ASR, TTS and voice AI models, and collects custom speech data to spec. It is part of Spirelight (https://www.spirelight.ai).
## Buying facts
- Catalog: 60 off-the-shelf datasets, one per language or dialect, 73,000 hours from 7,250 vetted native speakers
- Speech: spontaneous two-person conversations recorded in-country, not read scripts
- Audio: dual-channel, one channel per speaker
- Transcripts: time-aligned and human-verified
- Metadata: age, gender, region and recording device for every speaker
- Consent: every speaker signed explicit commercial-use consent; the full consent chain is provided for legal review
- License: commercial use, including training and evaluating ASR, TTS and other voice AI models
- Price: $60 to $95 per hour of audio, published on each dataset page; volume and multi-language discounts on request; prices by region: https://www.speechdata.ai/speech-data-pricing
- Samples: free sample audio, matching transcripts and the metadata schema, sent on request to a company email
- Custom collection: languages, dialects, domains, devices or acoustic environments outside the catalog, scripted or spontaneous, recorded to spec; feasibility and a quote within one business day
- Call center data: role-played customer service calls recorded to spec by native speakers playing agent and customer, from industry scenario scripts, one channel per speaker,
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