Customized solutions for accurate terminology recognition
For professional scenarios such as legal and medical, Voxtral offers multi-level accuracy guarantees:
- Domain fine-tuning services: 1) Preparation of at least 50 hours of labeled audio + corresponding glossary; 2) Light fine-tuning using LoRA technique (only 0.11 TP3T parameter adjustments required); 3) Deployment after test set accuracy is met. Tests in healthcare organizations showed that the error rate of drug name recognition dropped from 12% to 2% after fine-tuning.
- Real-time terminology correction
- Mixed Checksum Mode: Enable "manual review marking" for key paragraphs, and automatically mark them with a yellow reminder when the model's confidence level is lower than 90%. It is recommended to enable this mode in legal document processing
- Pronunciation learning function: For special pronunciations (e.g., drug trade names), standardized pronunciation samples can be recorded for modeling.
1) Upload customized dictionaries (support 100,000 entries); 2) Set mandatory substitution rules; 3) Turn on the spell checker module. The system will prioritize the matching of preset terms, e.g. automatically correcting "cardiac infarction" to "myocardial infarction".
Suggested Solution: Basic terms are solved by dictionaries and core concepts are fine-tuned. After the implementation in a patent law firm, the accuracy of technical terminology recognition increased from 82% to 97.5%, significantly reducing the proofreading workload.
This answer comes from the articleVoxtral: an AI model developed by Mistral AI for speech transcription and understandingThe
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