Voice recordings in 100+ languages. Environmental sounds and real-world noise.
Collection, transcription, and annotation — end-to-end audio data services.
Human voice collection, transcription, and annotation for speech AI models.
Scripted prompts, spontaneous conversation, specific scenarios.
Professional voice talent or everyday speakers, any accent.
Verbatim with timestamps, speaker diarization.
IPA transcription, pronunciation variants.
Tone classification, emotional state labeling.
Real-world audio collection beyond human speech — for audio classification, sound detection, and acoustic AI.
Street noise, office ambiance, nature, public spaces.
Engine sounds, equipment noise, mechanical audio.
Appliances, doors, alarms, everyday sounds.
Full environment recordings with labeled sound events.
Specific audio events for detection model training.
Baby crying audios, human snoring audios, etc.
Native speakers across all major languages. Regional accents, dialects, and code-switching supported. Contact us for specific language availability.
Tell us about your project — speech, sound, or both.
AIxBlock provides end-to-end speech data services designed specifically for training and benchmarking ASR models. This includes collecting fresh voice recordings across various languages, accents, and demographics, as well as providing our OTS (Off-The-Shelf) Call Center Audio library. We handle the full pipeline: collection, accurate transcription, and detailed annotation (such as speaker labels, timestamps, and intent).
Yes. AIxBlock supports multilingual speech data collection and annotation across more than 100 languages and accents. Our Multilingual at Scale capability is powered by a global crowd, allowing us to deliver massive collection projects fast for teams looking to expand their voice agents or ASR models into new global markets.
Yes. AIxBlock delivers end-to-end ASR training data services, including transcription, timestamps, speaker labels, and domain-specific tags. We handle complex annotation schemas that are non-trivial for generic vendors, including precise timestamps, diarization (identifying who spoke when), sentiment analysis, and intent labeling.
AIxBlock supports regulated ASR use cases through a Self-Hosted Platform where your storage is connected from day one. Speech data flows directly into the client’s infrastructure, supporting data sovereignty, auditability, and compliance requirements common in banking, healthcare, and enterprise contact centers.
A team should choose AIxBlock when internal efforts fail to meet the scale and diversity required for production-ready models. Specifically:
We specialize in complex annotation schemas that generic vendors often fail to deliver. This includes precise speaker diarization even in overlapping conversation scenarios. We also label background vs. foreground noise, essential for training models to focus on the active speaker in real-world conditions.
Yes. We can collect or curate audio specific to messy real-life scenarios, such as commands spoken inside a moving vehicle, far-field commands for smart home devices, or dialogue in crowded public spaces. This ensures your model is robust against the actual acoustic conditions it will face in the wild.
