Acoustic Data Operations

Speech & Audio Data Over 480 Languages.

AI models fail on underrepresented dialects because training data doesn't exist. We source, record, and validate audio datasets across rare languages at production scale across 480+ languages.

480+Languages Supported
3420Dialects Covered
3ISO Certifications
2022Founded

Who This Is For

ASR & TTS Engineers

Teams training Automatic Speech Recognition and Text-to-Speech models requiring vast arrays of phonetic coverage.

Voice AI Vendors

Product leaders expanding conversational agents into regional, non-English markets with rigid dialect requirements.

Automotive & IoT

Far-field audio collection programs building wake-word models in noisy edge environments.

Strategic LSPs

Language service providers outsourcing massive audio collection initiatives beyond their internal bench capability.

Acoustic Asset Types

What We Script & Record.

From pristine, studio-grade monologues to noisy, multi-speaker conversational telephony across overlapping acoustic environments.

Scripted & Monologue Collection

  • Wakeword and command phrase recording
  • Phonetically balanced short-utterance reading
  • Directed emotional speech (angry, calm, urgent)
  • Multi-device parallel recording (mobile, lapel, array)

Spontaneous & Conversational

  • Unscripted dual-channel conversational pairs
  • Call-center telephony simulations and triage
  • Environmental and background noise interactions
  • Topic-constrained debate and discussion formats
Execution Pipeline

How It Works

A structured, auditable process designed for enterprise scale.

01

Requirements Scoping

Ingest script formats, demographic distributions, acoustic criteria, and delivery schemas.

02

Contributor Sourcing

Native-speaker participants recruited and validated; devices and environments calibrated.

03

Data Collection & Recording

Speakers parse tasks via secure endpoints with standardized prompt delivery.

04

Acoustic Quality Validation

Multi-layer QA checking clipping, background disruption, dialect accuracy, and transcript correspondence.

05

Packaging & Delivery

Segmented audio files mapped to structured metadata delivered to your storage.

A Global Acoustic Footprint

We bypass commercial middlemen to establish direct ground-truth data pipelines with native speakers in the hardest-to-reach linguistic markets.

480+ Languages
3,420 Dialects

Acoustic QA & Validation

If the audio is clipped, mispronounced, or recorded in an invalid environment, the training run fails. We trap errors before delivery.

  • Native Speaker Verification: Auditing dialect authenticity to prevent non-native participants from poisoning regional datasets.
  • Acoustic Profiling: Checking SNR, bit-depth, sampling rates, and clipping using scripted validation checks.
  • Inter-Annotator Agreement (IAA): Multi-pass blind reviews for phonetic transcription validation and demographic tagging accuracy.

Audio & Transcription Deliverables

WAV (16kHz-48kHz)FLACMP3 / OGGJSON MetadataCTM FormatSRT / VTTLabel Studio Export

Service FAQ

Common operational and scoping questions regarding this specific pipeline.

Yes. We can scope demographic splits across age brackets, identified genders, regional dialect origin, and specific socio-economic profiles based on the required dataset balance.

For far-field vs near-field Wake Word setups, we instruct contributors to execute simultaneous recordings using specified local consumer hardware (e.g. laptop microphone AND mobile device placed across the room).

Either. We can execute against client-supplied prompt corpus files, or our linguistic team can author phonetically balanced scripts and conversational prompts in the target languages based on your domain constraints.

Audio that flags outside the acceptable SNR bounds or exhibits distinct background violations (dogs, sirens) during L1 review is rejected, and the recording task is placed back into the available pool for a new speaker.

Scope Your Audio Collection Program

Detail your demographic distribution, acoustic requirements, and language targets to receive an execution roadmap.