Silencio – Voice Data Infrastructure, Custom Collection & Multilingual Transcription
#Quasa #QUA #Silencio
Silencio is a voice and audio data service operated by Silencio Network LLC for teams developing speech recognition, speech synthesis and conversational AI. Contributors record speech on their own devices, providing material across languages, accents and everyday environments. Buyers can license existing datasets, commission collection to a specific brief, or request transcription and labeling. The service emphasizes underrepresented languages and provides contributor consent and provenance documentation. Its licensing workflow starts with samples and a discussion of the intended use, followed by an agreement covering the dataset and permitted uses. Public samples are available on Hugging Face, with commercial licensing handled separately. Check the official website for current pricing and project terms.
𝗖𝗢𝗥𝗘 𝗦𝗧𝗥𝗘𝗡𝗚𝗧𝗛𝗦
• Speech recorded by human contributors
• Focus on underrepresented languages
• Collection tailored to project specifications
• Native-speaker transcription and labeling
• Documented contributor consent and provenance
𝗜𝗗𝗘𝗔𝗟 𝗙𝗢𝗥
AI development and research teams needing speech data for specific languages, accents or recording conditions.
𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦
• Existing datasets available for licensing
• Custom collection scoped by agreement
• Public samples on Hugging Face
• Single-speaker and multi-speaker catalog categories
• Dialect and country-of-birth metadata
𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟 𝗖𝗢𝗡𝗦𝗜𝗗𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦
• Confirm pricing for your required dataset
• Verify target language and accent availability
• Check transcription coverage and validation methods
• Review permitted uses and license restrictions
• Agree custom collection timelines before committing
𝗢𝗩𝗘𝗥𝗔𝗟𝗟 𝗩𝗘𝗥𝗗𝗜𝗖𝗧
3.8/5 stars. Consider Silencio when your speech AI project needs targeted human recordings or commissioned collection. Confirm sample quality, available coverage, licensing terms and total cost first. Earn 1 QUA reward by reviewing on Quasa.io too!
𝗚𝗘𝗧 𝗦𝗧𝗔𝗥𝗧𝗘𝗗: https://quasa.io/projects/silencio























