Seed-ASR
Speech recognition technology based on large language models.
Product Details
Seed-ASR is a speech recognition model based on Large Language Model (LLM) developed by ByteDance. It leverages the power of LLM by feeding continuous speech representations and contextual information into LLM, guided by large-scale training and context-aware capabilities, to significantly improve performance on a comprehensive evaluation set that includes multiple domains, accents/dialects, and languages. Compared with recently released large-scale ASR models, Seed-ASR achieves a 10%-40% word error rate reduction on Chinese and English public test sets, further demonstrating its powerful performance.
Main Features
How to Use
Target Users
The target audience of Seed-ASR is mainly enterprises or individuals who require high-precision speech recognition services, such as speech-to-text service providers, multilingual content producers, and application developers who need speech recognition in complex environments. This technology is particularly suitable for scenarios that require processing multiple languages and dialects, as well as accurate speech recognition in specific contexts.
Examples
Enterprises use Seed-ASR for real-time transcription of meeting recordings to improve the efficiency and accuracy of meeting records.
Content creators use Seed-ASR to convert voice content in videos or podcasts into text to facilitate multi-platform distribution of content.
Educational institutions use Seed-ASR to transcribe classroom recordings to facilitate student review and teacher evaluation.
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