Speech collection, transcription validation, and evaluation for the world's leading AI programs — specializing in Asian languages and code-switching.
Scripted and spontaneous speech, dual-speaker conversational, and dialectal recordings. Managed speaker sourcing with strict technical specifications — sample rate, channel configuration, recording environment, and speaker demographics — validated per batch.
Seven code-switching locales in production today, seven more ready to activate — the current frontier of speech AI, where most vendors cannot source natural, native code-switching at scale.
Multi-language transcription and validation QA at production scale, with per-batch turnaround and client-defined guidelines — the quality gate between raw audio and usable training data.
Adequacy, fluency, ranking, and LQA by native evaluators — human judgment on model output, applied consistently and at volume across languages.
Batch import, audio-reference alignment check, scope confirmation — mismatches flagged back before work starts.
A fixed language team claims tasks on our managed platform — context accumulates instead of resetting each batch.
Guideline-driven work with per-file effort logging, so capacity is forecastable and problem files surface early.
Second-pass review against a written variant guide that is amended after every correction cycle.
One-click export with an effort report and correction-loop tracking — so the same issue does not recur.
Voice AI still fails on code-switched speech — and crowd platforms cannot source it reliably, because natural code-switchers are not findable by filtering on "native language". Translia runs managed native-speaker teams across seven code-switching locales in production today, with seven more ready to activate, each with documented consent and provenance per contributor.
Cantonese–English (Hong Kong) · Mandarin–English (Mainland) · Taiwan Mandarin–English · Japanese–English · Korean–English · Tagalog–English (Taglish) · Turkish–English
Hindi–English (Hinglish) · Malay–English · Tamil–English · Indonesian–English · Thai–English · Vietnamese–English · Gulf Arabic–English
Managed production with a single point of accountability — not anonymous crowdsourcing. Sourced and vetted contributors, strict spec compliance, and per-batch quality confirmation.
Hong Kong Cantonese, Taiwan Mandarin, Simplified Mandarin, and regional variants — plus Korean, Japanese, Filipino, Turkish and a growing set. The variants that general vendors treat as edge cases are our core.
Fixed language teams give a stable core so context accumulates batch over batch — while a 10,000-linguist network absorbs weekly volume spikes without restarting onboarding. A self-serve platform handles dispatch, delivery, and QA tracking.
Documented consent per contributor and tracked provenance per batch — auditable data origin and licensing, not open-web scraping.
ISO 17100 and ISO 18587 certified, with structured review built into delivery rather than bolted on after complaints.
We support leading AI platform providers and larger data companies as a subcontracted production partner — a company-to-company engagement model, not a marketplace.
Scaled a Cantonese-English code-switching recording program from pilot to hundreds of scripts within three weeks for a major global AI program — batches accepted with quality confirmed.
Operating a rolling multi-language transcription validation line across dozens of language variants, delivering weekly batches into a leading AI platform provider's data supply chain.
Client programs are confidential. These describe the shape of the work — managed production, strict specs, quality confirmed per batch — not the parties involved.
AI regulation is turning data documentation into a procurement requirement. Under the EU AI Act's transparency obligations, providers of AI systems increasingly need to show where their training data came from and on what terms. Our production is provenance-first by design — documented consent and sourcing for every contributor, batch-level records, and audit-ready delivery metadata — so the data you buy today doesn't become a compliance problem tomorrow.
Translia delivers Asian-language speech and code-switching datasets to client specification: 16–48 kHz sampling in WAV or FLAC, mono or separated dual-channel, scripted through conversational registers, with speaker composition balanced by gender, age band, and regional accent. Every batch ships with per-batch technical QA, delivery-ready metadata, and documented speaker consent and provenance records suitable for AI-regulation documentation requirements.
16–48 kHz WAV/FLAC · mono or separated dual-channel · scripted, semi-scripted, or conversational · clean and noisy environment mixes to spec.
Native speakers balanced by gender and age band · regional pronunciation controlled · code-switching pairs including Cantonese–English and Mandarin–English.
Per-batch technical QA · speaker IDs, batch IDs, environment and channel tags · transcription validation available as a second layer.
Asian languages and their regional variants — Hong Kong Cantonese, Taiwan Mandarin, Simplified Mandarin, and other Chinese variants — alongside Korean, Japanese, Filipino, Turkish, and a growing set. We also handle code-switching such as Cantonese-English and Mandarin-English.
Every contributor works under documented consent, with provenance tracked per contributor and per batch. As an ISO 17100 and ISO 18587 certified company running managed production, data origin, licensing, and processing are auditable — not sourced anonymously from open crowdsourcing.
Yes. Speech collection follows strict specs — sample rate, channel configuration, recording environment, speaker demographics, and script design — validated per batch before delivery. Transcription and evaluation follow client-defined guidelines with QA at production scale.
Yes — we support leading AI platform providers and larger data companies as a company-to-company engagement, delivering managed production capacity in Asian languages and code-switching audio that general vendors cannot easily source.
We run managed production with one accountable partner, not anonymous crowd labor — vetted native speakers, strict spec compliance, documented consent and provenance, and per-batch quality confirmation. That matters most for the hard cases: code-switching and low-resource Asian variants.
Every batch goes through an intake alignment check. Mismatches — re-cut files, revised scripts — are flagged back to you before production starts, not discovered after hours have been spent validating against the wrong text.
Speech and validation work is typically billed by effort hours with per-file logging, so you can see exactly where time goes; collection is quoted per deliverable unit. Fixed teams give a stable core, and a wider linguist network absorbs weekly spikes without restarting onboarding each time.
Yes. Every contributor provides documented consent; sourcing and batch records are maintained for each delivery; metadata is audit-ready. We don't provide legal advice, but our production is designed so AI providers can meet transparency and provenance documentation obligations.
The commissioning client, under the licensing structure agreed per project. Speaker consent is collected in writing and covers commercial AI-training use; we retain no reuse rights unless explicitly agreed. Rights documentation — consent scope, permitted uses, and provenance records — ships with each delivery.
Audio as WAV or FLAC at the agreed sampling rate with channel separation preserved; transcripts and annotations in JSON, TSV, or your schema; per-item metadata including speaker ID, demographic band, environment and channel tags, plus batch-level QA results. Batches are delivered by secure transfer on the cadence your pipeline needs.
Only what you commission us to produce is training data — never your own material. Any client content shared with us for reference, specification, or evaluation work is processed under standard confidentiality terms and, where any AI tooling is involved, only through enterprise API tiers configured with zero data retention (ZDR) and model-training opt-out; we never put client material through free or consumer AI tools. Datasets we deliver are licensed to the commissioning client, with consent scope and provenance records included.
For sensitive or regulated work we can run a fully human-only workflow with no AI in the chain. On request we disclose the specific engines used under NDA and sign your own Data Processing Agreement (DPA).
Yes — this is a core line. Code-switched speech cannot be crowdsourced by filtering contributors on "native language", because natural code-switchers are not findable that way; it takes managed native-speaker teams briefed on scenario and register. We run seven code-switching locales in production today — Cantonese–English, Mandarin–English, Taiwan Mandarin–English, Japanese–English, Korean–English, Tagalog–English, Turkish–English — with seven more ready to activate: Hindi–English, Malay–English, Tamil–English, Indonesian–English, Thai–English, Vietnamese–English, and Gulf Arabic–English.
Scripted, spontaneous, and dual-speaker conversational formats are all supported, with documented consent and provenance per contributor. We can start with a free pilot batch so you can check switch-point handling and transcription convention against your spec before committing.
Tell us the languages, specs, and volume — we'll show you how the managed line delivers.
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