Audio data collection for speech AI and voice technology
Get production-ready audio datasets to power your speech models. LXT delivers global, high-quality audio data collection services across languages, speaker profiles, and environments. Whether you need scripted prompts or spontaneous conversations, we create or capture speech data tailored to your acoustic and linguistic needs.
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 8 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, 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.
Our audio data collection services at a glance
LXT provides managed, on-demand audio data collection services designed for training automatic speech recognition (ASR), voice-enabled AI, speaker identification, and acoustic models. Contributors record speech following your scenarios and specs – with metadata captured for full context.
Scripted prompts
Participants read predetermined text lines, keywords, or command sets in multiple styles, accents, or emotional tones.
Use Cases:
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Wake word training
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Command recognition
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Pronunciation modeling

Conversational speech
Two or more speakers engage in spontaneous or guided dialogues on defined topics or tasks.
Use Cases:
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Conversational AI and chatbot training
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Dialogue intent recognition
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Contextual ASR tuning

Emotional & expressive speech
Participants record phrases with varying emotions (e.g., happy, frustrated, urgent) or vocal intensity.
Use Cases:
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Emotion detection
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Call center simulation
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Affective computing models

Environmental audio
Speech captured in real-world settings such as cars, offices, streets, and homes with varying background noise.
Use Cases:
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In-car command systems
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Noise-robust ASR
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Multichannel and device variation tuning

Multilingual recordings
Speech recorded in a wide range of languages, dialects, and local variants – with demographic targeting.
Use Cases:
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Multilingual virtual assistants
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Speech translation
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Accent adaptation

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.
Speech is collected securely at scale through our app or browser interface. Contributors follow prompt logic and quality gates.
Multi-step QA combines gold tasks, peer review, automated validations, and expert audits to ensure audio clarity 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? 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 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.
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.
We apply a multi-layered QA process tailored to speech data. This includes pilot reviews, gold-standard prompts, peer evaluations, and automated checks for clarity, completeness, and correct script delivery. All audio is verified by experts before final delivery.
Pricing is based on your specific project parameters — including total hours, languages and accents, speaker profiles, environments, and turnaround speed. We provide a custom quote aligned to your exact needs.
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.
