Power your ASR systems with Sapien's custom data labeling services designed for high-performance AI models for speech recognition
For YouGuang, Sapien provided transcription and annotation services for a German voice library, creating high-quality labeled datasets for ASR model training.
This labeled data enables ASR systems to accurately recognize and transcribe spoken language, improving their effectiveness in diverse linguistic contexts.
Handling diverse accents, noisy conditions, and multi-speaker scenarios can make manual data labeling for speech recognition time-consuming and challenging. Sapien provides expert data labeling services to streamline this process, delivering high-quality labeled datasets that power your ASR models.
Our custom labeling modules and quality assurance processes ensure that your ASR systems are trained with accurate, contextually relevant data. Whether you are developing virtual assistants, transcription software, or any other speech recognition technology, Sapien delivers the high-quality labeled data needed to improve your ASR AI model performance.
Our team is skilled in labeling complex speech data, including various accents, noisy environments, and multi-speaker scenarios
We customize our labeling processes to fit your ASR system for optimal performance and accuracy
Hybrid HITL and automated quality control processes guarantee that your labeled data meets high standards of accuracy and reliability
Our global decentralized workforce and gamified platform can scale to meet the demands of large-scale ASR projects, with consistent results across extensive datasets
We build custom labeling modules and tools for precise conversion of speech to text, accurate speaker differentiation, and contextual relevance
Schedule a consult with our team to learn how Sapien’s data labeling services for AI models can power your automatic speech recognition projects