Audio data collection for speech AI systems
Collect voice recordings and speech data — at scale, across languages, with expert QA.
Why AI innovators rely on LXT for global audio data collection & voice recordings
Global Reach for Audio AI
Speech data recorded across 150+ countries and 1,000+ linguistic and cultural locales – capturing real-world diversity for robust model training.
Expert Network of Native Speakers
Over 7 million contributors including accent-diverse speakers, linguists, and QA-trained reviewers – matched by language, age, and demographic profile.
Real-World Audio Variety
Capture in varied environments (quiet rooms, public spaces, vehicles), device types (smartphones, headsets), and speech types (read, conversational, emotional).
Speed at Scale
Streamlined workflows and mobile/web app collection deliver fast, consistent data across geographies – even under tight launch timelines.
Enterprise-Grade Quality & Compliance
ISO 27001-certified infrastructure, SOC 2, GDPR, HIPAA readiness, and multi-stage QA to meet the strictest industry standards.
Built for Your Use Case
Data collection customized to your prompts, recording specs, file formats, speaker mix, and acoustic requirements – ready to fine-tune any speech model.
Scalable, expert-led audio data for speech and voice AI
LXT delivers managed audio data collection services tailored for speech-first AI applications. From scripted prompts to spontaneous conversations, we provide real-world voice recordings – diverse, accurate, and production-ready.
Our global crowd captures high-quality speech across languages, accents, age groups, and environments – and supports full-service transcription, annotation, and evaluation to prepare data for training voice assistants, speech-to-text models, speaker ID systems, or emotion-aware AI.
Our audio data collection services at a glance
Audio recording
We collect speech samples in controlled and natural settings – covering scripted prompts, conversational speech, and emotional expressions. Contributors are matched by language, accent, age, and other demographic criteria.
LXT+clickworker app- or desktop-based capture
Speech data is recorded via secure mobile or desktop interfaces – depending on your project needs. Our platform supports built-in metadata tagging (e.g., background noise, device type, environment), enabling consistent quality whether recordings are made in studio-like conditions or real-world settings.
Audio annotation
We label audio clips with speaker segments, timestamps, noise types, and emotions. This enables more accurate model training for tasks like speaker diarization, voice classification, and acoustic event detection.
Audio transcription
We deliver human-verified transcripts, including speaker IDs, punctuation, and formatting. Transcription can follow specific linguistic conventions or style guides depending on your model’s target output.
Audio evaluation
We review and score audio samples for quality, completeness, clarity, and script adherence – ensuring only validated, model-ready data makes it into your training set.
How our audio data collection
process works
Our audio data collection services follow a proven, end-to-end process designed for speed, scalability, and accuracy. We work closely with you from scoping to final delivery to ensure the dataset fits your model goals.
Contact us to discuss your audio data needs – including languages, speaker demographics, environments, prompts, and formats. Based on this, we create a detailed proposal and a custom quote.
Scripts are finalized, contributor guidelines defined, and the platform configured for metadata tagging, QA, and secure upload. Contributors are selected and onboarded at this stage.
A small test batch is recorded and reviewed. We calibrate instructions and validate quality, diversity, and technical requirements before scaling.
Depending on your project, speech data is captured, transcribed, annotated, or evaluated across your chosen regions, demographics, devices, and environments – always aligned with your specifications.
Multi-step QA combines gold tasks, peer review, automated validations, and expert audits to ensure audio clarity, correct transcription and annotation, and full compliance with your requirements.
Final audio or speech datasets are transferred via API, encrypted file share, or secure local hosting – in your preferred format and structure.
Need to extend your original project – with more recordings, additional annotations, further evaluations, or extra transcriptions? We refresh or scale datasets as required to support ongoing model training and new use cases.
Quality & security
LXT applies rigorous quality control and enterprise-grade data protection throughout every stage of your audio data project.
Curated contributor selection
Contributors are filtered by language fluency, demographic profile, recording environment, and device compatibility – based on your requirements.
Enterprise compliance
LXT operates under ISO 27001-certified infrastructure and is SOC 2, GDPR, and HIPAA compliant – giving you peace of mind in regulated environments.
Pre-Task training (optional)
Contributors can complete onboarding tasks to align on pronunciation, emotion delivery, or prompt formats before full-scale collection.
Data privacy & confidentiality
We offer mutual NDAs and follow strict access protocols. Sensitive data can be handled via VPN, VPC, or other secure setups as needed.
Layered quality assurance
Gold tasks, peer review, automated validations, and expert audits ensure speech clarity, accuracy, and adherence to your requirements.
Secure infrastructure
All audio files are encrypted during transfer and storage, with strict access controls to protect sensitive datasets end-to-end.
Industries and use cases for audio data collection
Our audio data collection services support a wide range of speech AI applications across multiple industries.
Technology
Training voice assistants, conversational AI, speech-to-text engines, and emotion detection models.
Automotive
Developing in-car voice command systems, hands-free driver controls, and cabin noise recognition.
Healthcare
Supporting clinical transcription, voice-based diagnostics, and patient symptom reporting via speech.
Finance & insurance
Enabling secure voice authentication, call center analytics, and compliance monitoring.
Retail & eCommerce
Powering voice search, multilingual customer support chatbots, and call intent classification.
Education & eLearning
Building language learning apps, automated pronunciation scoring, and voice-based tutoring systems.
FAQs on our LXT audio data collection services
We support both. Contributors can follow prepared scripts for controlled datasets or record natural, free-flowing conversations when spontaneous speech is required.
Most clients request WAV or MP3, but we also provide FLAC and other formats. File structure, segmentation, and metadata can be customized to fit your training pipeline.
Each file passes multiple checks — from verifying audio clarity and correct script delivery to reviewing transcriptions and annotations. We use expert audits and automated validation to ensure accuracy before delivery.
Pricing depends on several factors: the number of hours required, the languages and accents involved, whether transcription or annotation is included, and the delivery timeline. We provide a tailored quote after reviewing your specifications.
Further data collection services
Extend your AI training capabilities with additional data types, each designed to strengthen different kinds of machine learning models.
Data collection
The central access point for all of LXT’s multimodal data services, spanning text, image, video, audio, and more.
Video data collection
Capture of dynamic scenes and actions, ideal for training AI in gesture recognition, object tracking, and behavioral analysis.
Image data collection
Curated image datasets of people, objects, and environments, supporting a wide range of computer vision applications.
Text data collection
Domain-specific text datasets from diverse sources, enabling the development of NLP models for classification, summarization, sentiment, and more.
LLM data collection
High-quality text datasets tailored to domain-specific knowledge, powering the training of large language models.
Facial recognition data collection
Secure, ethically sourced datasets to develop and validate facial recognition systems in compliance with global standards.