Spirelight runs custom speech and audio data collection for AI teams that need training data no catalog can supply. We recruit consented speakers, record scripted and spontaneous audio to your spec, and deliver structured ASR and TTS training data. Every custom audio data collection project is matched to your languages, speaker profiles, and recording conditions.
Our voice data collection covers the full range of speech scenarios AI models train on. You define the design; we recruit the speakers and capture audio that matches your target conditions.
Read prompts, sentences, and command sets for controlled coverage of phonemes, vocabulary, and domain terms, recorded to a consistent studio or device spec.
Natural monologue, dialogue, and multi-party conversation for models that need real, unscripted speech with disfluencies, overlaps, and turn-taking.
Targeted wake-word and short-command capture across many speakers, distances, and devices, so detection models generalize beyond a handful of voices.
Distant-microphone and room-scale recording for smart speakers and voice interfaces that must work across a room, not just into a handset.
Cabin and in-vehicle audio captured with road, engine, and HVAC noise, for automotive assistants that have to hold up in real driving conditions.
Have a scenario of your own? We design bespoke prompts, environments, and device matrices for your custom data collection rather than reusing a stock protocol.
The right recording design depends on what you are training. We shape the collection around your model instead of handing every team the same recordings.
For speech recognition we prioritize speaker and accent diversity, realistic noise, and broad vocabulary coverage, so your recognizer is robust across the conditions your users actually speak in.
For text to speech we run studio-grade sessions with selected voice talent, consistent tone and pacing, and clean, high-sample-rate audio, the foundation of a natural synthetic voice.
For assistants and voice interfaces we collect wake-word, command, and conversational data across devices and environments, matched to how the product is used in the field.
Once the audio is captured, we can transcribe and label it for you through our audio and speech annotation services, so collection and labeling run as one pipeline.
Good AI data collection services start with the right people and a clean consent trail. Ours is built to give you compliant, traceable data from the first recording.
We recruit contributors by language, dialect, age, gender, and location, so the speaker mix matches your target population rather than whoever was easiest to find.
Every contributor agrees to how their voice will be used before recording, and consent is documented and linked to each utterance for full traceability.
You receive a defined licensing basis for the whole dataset, handled in line with GDPR, so the data is safe to train on, retain, and reuse.
Real coverage means native speakers, not approximations. Our speech data collection services span major world languages plus lower-resource and regional varieties, with dialect and accent targeting built into recruitment.
Want to see what is already recorded before commissioning a collection? Browse our ready-made speech datasets to check coverage first.
We agree the schema up front and hand over audio, transcripts, metadata, and manifests packaged for your training pipeline.
WAV, FLAC, and other formats at your chosen sample rate, bit depth, and channel layout, from 8 kHz telephony to 48 kHz studio recordings.
Speaker, device, and condition metadata in JSON or CSV, with optional transcripts and timestamps, all mapped to the schema your team defines.
Delivery to your cloud bucket or via API in scheduled batches, with checksums and consent linkage so every recording is traceable end to end.
General crowdsourcing platforms collect anything and specialize in nothing. We only do speech and voice, so the recordings arrive clean, compliant, and ready to train.
Voice data collection is our whole business, so our prompts, rigs, and QA are built for audio quality rather than adapted from a generic labeling tool.
Consent and licensing are handled up front and linked to every utterance, so you never inherit legal risk from unclear data provenance.
We review audio and metadata while a project is live, catching issues during recording instead of after a full delivery has already gone wrong.
See how collection fits alongside transcription, annotation, and QA on our services overview.
Send us your languages, speaker profiles, audio hours, and recording conditions. We will design a custom collection plan and return a fixed quote, usually within two business days.
Speech and audio data collection is the process of recording real human voices under controlled conditions to build training data for AI models. It covers recruiting the right speakers, capturing scripted or spontaneous audio to a defined spec, obtaining consent, and delivering the recordings with metadata and transcripts. The result is a dataset your team can train ASR, TTS, or voice AI models on.
We scope a project around the speakers, languages, audio hours, recording conditions, and metadata you need, then price it per audio hour or per speaker depending on the design. Scripted studio recordings, far-field capture, and rare languages cost more than simple remote prompts. Share your spec and we return a fixed quote.
We recruit and record in 70+ languages and a wide range of dialects and regional accents, using native speakers matched to the target locale. If you need a lower-resource language or a specific regional variety, we can usually source it through our contributor network.
Every contributor gives explicit, documented consent for how their voice will be used before they record, and that consent is linked to each recording. You receive a clear licensing basis for the whole dataset, handled in line with GDPR, so the data is safe to train on and to keep.
A pilot batch can be recorded and delivered within a couple of weeks, depending on the language and recording setup. Larger collections run in scheduled batches so you get data flowing early and can give feedback before the full volume is captured.
A custom collection records new audio to your exact spec, which is the right choice when you need specific languages, conditions, or scenarios that do not exist yet. A ready-made dataset is already recorded and can be licensed immediately. If an off-the-shelf option fits, it is faster and cheaper.
Ready to start? Get a quote or add audio and speech annotation to your project.
