US-DATAData Annotation
Cabinet
Accurate speech-to-text conversion enables neural networks to recognize speech, understand conversational context and work with audio information.
Calculate project cost
Speech transcription converts audio into text while preserving content, structure and, when needed, time alignment. It provides training labels for ASR, Speech-to-Text, voice assistants and language models.
Preserves words, repetitions, pauses and pronunciation features.
Converts speech into a literary written form.
Links text fragments to audio start and end times.
Identifies who says each utterance.
In addition to text, we can add phrase segmentation, timestamps, speaker IDs, noise, emotions, speech types and audio-event attributes.
We transcribe conversational speech, calls, contact centers, interviews, lectures, meetings and multi-speaker recordings; provide segmentation, diarization and exports for your ML pipeline.
Inconsistent labels reduce accuracy, introduce bias and can make production behavior unreliable.
We create task-specific guidelines and validate every stage so the dataset matches the model architecture and business objective.
Examples of data annotation for machine learning
Full data preparation cycle from raw data to model-ready output
How does US-DATA deliver the results business needs?
We pay close attention to quality. Even the most accurate model will not perform well if the data is labeled with errors.
Our team works under a unified annotation rule system based on multi-level review and consistency control. Every process is adapted to client needs and the specifics of the ML model. The result is a clean dataset ready for training without additional rework.
We understand how data quality affects model training.
Annotation tailored to architecture and project goals.
From pilots to large-scale data volumes.
Control at every stage and transparent metrics.
We handle non-standard and challenging scenarios.
Data exported in the format you need.
Faster model training
Higher accuracy and robustness
Lower retraining costs
Production-ready datasets
Data security and compliance
Expandable sections with indicative cost tables.
Choose parameters and get instant estimate
* This estimate is not a public offer. Final cost is determined after technical analysis and data review.
Latest materials on data annotation and machine learning
Leave a request — we will assess the task and propose the right annotation approach and delivery format.
Speech transcription converts audio into structured text for ASR, Speech-to-Text, language and multimodal AI systems. US-DATA provides verbatim and normalized transcription, segmentation, timestamps, diarization and audio-event labels.
We develop annotation guidelines, run pilot labeling and multi-level quality control, then deliver a consistent dataset in the format required by your ML pipeline.
The result is data that is ready to train, validate and deploy machine learning models in real operating conditions.
