You specify the languages, speakers, and format. We recruit, record, transcribe, and deliver.
Most teams do not just need more audio. They need audio data from the right demographic group, with rich metadata and high quality transcription.
Spirelight builds that dataset.
We source contributors by language, dialect, age, gender, region, device, or other project criteria. Speakers record through browser-based tools with prompts, consent, audio checks, and project guidelines built into the workflow.
Review progress during production and receive validated batches with audio, transcripts, metadata, and manifests. Your team can test early batches and adjust the collection before the full dataset is finished.
Need Danish conversations, German call-center speech, French dialect coverage, wake words, commands, or audio plus video recordings? We design the workflow around your data spec, from speaker recruitment to final delivery: speech data collection services for the audio you can't buy off the shelf, and audio annotation services that turn raw recordings into labeled training data.
We collect monologues, dialogues, wake words, commands, scripted prompts, roleplays, and natural conversations with speakers matched to your language and profile requirements.
We deliver machine-assisted or human-validated transcripts with timestamps, speaker labels, domain terminology, and annotation rules matched to your model training needs.
We package audio, transcripts, metadata, consent references, QA notes, and manifests in the format your engineering team needs.
Four reasons teams use Spirelight for custom speech data collection.
Define the speakers you need by language, dialect, region, age, gender, device, environment, or other project criteria.
Contributor recruitment across 50+ languages and 30+ markets.
We can run remote, on-site, or studio-style sessions using defined microphones, devices, rooms, scripts, and acoustic requirements.
From single-speaker sessions to multi-day collection projects.
Your team can test early deliveries, identify gaps, and update speaker targets, prompts, or guidelines before the full dataset is complete.
Mid-project adjustments without restarting production.
We regularly recruit and review speakers in markets where off-the-shelf datasets are limited, including Nordic languages, regional dialects, and smaller European language varieties.
Recruiters and reviewers across Denmark, Sweden, Norway, Finland, and Iceland.
Your speech data partner for
fine-tuning and language expansion.
We combine contributor recruitment, recording workflows, transcription, QA, and delivery so your team can expand into new languages without building local operations from scratch.
The workflow is similar across projects, but the speakers, prompts, recording conditions, annotations, and deliverables change with each use case.
Collect commands, activation phrases, device instructions, and short utterances across languages, accents, microphones, and environments.
Build language, accent, and dialect coverage for speech recognition, synthetic voice, and speech evaluation datasets.
Collect conversations, roleplays, customer service scenarios, emotional speech, and domain-specific interactions for more natural voice systems.
Spirelight combines commercial project design, recruitment operations, platform engineering, transcription workflows, QA, and delivery management in one team.
Andreas works with clients to turn model requirements into concrete data collection projects.
He defines the project scope, speaker targets, recruitment approach, and delivery expectations before production starts.
Emil supports operations, documentation, compliance coordination, and project delivery.
He helps structure the process so recruitment, consent, production, and handoff stay aligned.
Gustav leads the platform architecture behind Spirelight.
He builds the systems used to manage recording, transcription, QA, metadata, contributor workflows, and dataset delivery.
Joyi manages project execution across contributors, reviewers, and delivery teams.
She keeps production moving, follows up on daily progress, and helps ensure each project meets its agreed requirements.
Mateo coordinates contributors, recording workflows, and production tasks.
He helps translate project requirements into daily execution and keeps the different parts of the workflow aligned.
Pekka supports recruitment strategy and contributor operations.
He helps source speakers for projects with specific language, dialect, regional, or profile requirements.
Victor leads sales and market research, mapping where Spirelight's speech data work fits new clients and regions.
He runs country expansion research and opens conversations in the markets we move into next.
Yusif leads legal, internal policy, and compliance at Spirelight.
He maintains the internal policies and compliance processes that keep consent, data handling, and contracts in order.
Michael leads B2B sales and manages Spirelight's partnerships with freelancers and companies.
He builds the relationships that bring in new clients and contributors, and keeps our freelancer and company partners aligned with each project's needs.
Practical, vendor-neutral guides for teams building voice AI: what speech data is, how much you need, and how to license it without getting burned.
The building blocks of voice AI training data, in plain terms.
02Vendors, licensing, and quality checks before you commit budget.
03Sizing a dataset for the accuracy your model has to hit.
04What makes a speech recognition dataset actually accurate.
05Types, methods, and what to expect from an annotation partner.
06Accents, dialects, and low-resource languages that break models.
07What it takes to build a natural text-to-speech voice.
08How emotion in speech is collected, labeled, and used.
09Types and workflows for labeling audio at training grade.
Services and advanced topics: speech data collection services, audio annotation services, speaker diarization, speech data licensing and license agreements, or what data annotation is.
Popular datasets: Russian speech dataset, Amharic speech dataset, Egyptian Arabic speech dataset, Marathi speech dataset, Italian speech dataset, Greek speech dataset, or browse all speech datasets.
Send over your speaker profiles, language needs, and background noise conditions. Our team will design a custom recording plan and deliver a complete project workflow within two business days.
We collect targeted wake-word and command speech with the speakers, accents, and acoustic environments your model needs to handle in production.
Where this fits: automotive, smart home, appliances, wearables, voice assistants.
Off-the-shelf data leaves most of the world blank. We close the gap with native speakers vetted by region, not just by language code.
Where this fits: companies launching voice products in new languages, accents, or dialects.
Real human speech carries far more than words. We deliver datasets where the affective signal is captured, annotated, and structured for training.
Where this fits: voice agents, call centers, automotive safety, health tech, gaming, and any product that needs natural human-machine interaction.
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