Voice Data Collection Services for AI
Technolex provides voice data collection services for AI teams building speech recognition, ASR, voice assistants and conversational AI. We recruit and manage Ukrainian speakers and multilingual participant groups based on the accents, regions, ages, genders, and usage scenarios your model needs. From scripted prompts and wake words to spontaneous conversations and domain-specific speech, we create custom voice datasets under controlled recording conditions.
Each dataset is checked for audio quality, speaker eligibility, script compliance, completeness, and metadata accuracy, then delivered in the required format for efficient AI training and evaluation.
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Why Choose Technolex for Voice Data Collection
Ukrainian language expertise Ukrainian is our core specialization. Since 2010, we have built an extensive network of professional linguists and native speakers across Ukraine, giving us the local knowledge needed to collect authentic Ukrainian speech and assess regional and linguistic variation.
Custom datasets for your model Every project starts with your use case. We can design a speech corpus for ASR, voice assistants, wake-word detection, command recognition, conversational AI, or another application, with the recording volume and speaker distribution your model requires.
Multi-layer quality control Our quality checks cover speaker eligibility, prompt accuracy, missing or duplicate files, clipping, background noise, recording completeness, and metadata consistency. A pilot stage helps us validate the workflow before full-scale collection.
AI-ready delivery We organize voice and audio datasets according to your technical specifications, including file format, sample rate, channel configuration, naming conventions, folder structure, and metadata schema. Transcription and annotation can be added when required.
Targeted speaker recruitment We recruit participants according to your demographic and linguistic criteria, including age, gender, location, accent, dialect, and device type. Screening helps ensure that every speaker matches the agreed profile before recording begins.
Flexible recording scenarios We support scripted and spontaneous speech, monologues, dialogues, and domain-specific recordings. Depending on your requirements, data can be captured remotely or in controlled settings, using specified devices and acoustic conditions.
Linguistic validation Audio quality alone is not enough. Language specialists can review pronunciation, fluency, naturalness, accent authenticity, and compliance with the recording instructions, helping make the speech data suitable for training and evaluation.
Secure, scalable project management Dedicated project managers coordinate recruitment, consent records, recording, quality assurance, and delivery. Our workflows can scale from focused Ukrainian datasets to multilingual data collection while maintaining traceability and controlled access.
How Our Voice Data Collection Process Works
You send your request via this form or email
Quick response We get back to you within 30 minutes during working hours with a price quote or any clarifying questions.
Project kickoff Once everything is clear and you give us the green light, we start your translation project immediately.
Dedicated management A project manager is assigned to oversee your project, ensuring quality control and on-time delivery.
Delivery and confirmation We deliver the final translation, and you confirm your satisfaction.
Faq
What is voice data collection for AI?
Voice data collection is the process of recording and organizing human speech for training, testing, and improving AI models. High-quality speech datasets help systems recognize words, accents, voices, commands, and conversational patterns more accurately in real-world use.
What types of voice data can you collect?
We can collect scripted speech, phonetically balanced prompts, keywords, wake words, commands, names, numbers, spontaneous monologues, dialogues, and domain-specific conversations. Recordings can be designed for close-talk, mobile, far-field, quiet, or controlled noisy conditions, depending on the model and project requirements.
How do you recruit and select speakers?
We recruit speakers using project-specific criteria such as native language, accent, region, age, gender, and relevant professional background. Participants are screened before recording, briefed on the task, and included only after the required consent and eligibility checks are completed.
Can you collect voice data in different accents and demographics?
Yes. We can build speaker quotas around specified accents, dialects, regions, age groups, genders, and other relevant demographic characteristics. Ukrainian voice data is our primary strength, and multilingual datasets can be coordinated through our broader linguistic network.
How do you ensure the quality of voice recordings?
We define measurable acceptance criteria, test the workflow with a pilot, and review recordings during production. Checks can include signal and file integrity, clipping, background noise, prompt compliance, pronunciation, speaker eligibility, completeness, and metadata accuracy. Files that do not meet the agreed standard are corrected or re-recorded.
Can you create custom voice datasets for AI training?
Yes. We tailor the dataset to your model, target users, collection environment, technical format, and performance goals. This may include ASR datasets, speech recognition training data, conversational AI datasets, a specialized speech corpus, or audio datasets for voice assistants and command-recognition systems.
