Improving Accuracy of Spelled Words in Transcriptions
To enhance the accuracy of transcriptions when words are spelled out, such as "J-A-Y" being interpreted correctly instead of phonetically, several strategies can be applied using Deepgram's APIs and settings. These methods are particularly useful in scenarios where phonetic representations might disrupt the intended transcription.
Strategies for Accurate Spelling Transcription
1. Use Keywords to Boost Accuracy
Deepgram allows for the use of keywords to improve the accuracy of certain expected words in the transcription process. By applying this feature, you can significantly enhance the recognition of spelled or commonly misinterpreted words.
- Keywords Documentation: Deepgram Keywords
2. Implement Find and Replace
For scenarios where certain words or phrases are consistently misrecognized, Deepgram provides a find and replace feature. This can be utilized to automatically correct these phrases post-transcription.
- Find and Replace Documentation: Deepgram Find and Replace
3. Experiment with Different Models
Different models can yield different transcription results based on their training data and intended use cases. By experimenting with various models that Deepgram offers, you can identify which model best suits your particular audio inputs.
- Available Models Overview: Deepgram Models & Languages
Conclusion
By leveraging these tools and techniques, you can significantly enhance the transcription accuracy of spelled-out words in your audio inputs. Experimenting with keyword boosting, find-and-replace functionalities, and different speech recognition models will allow for the optimal configuration tailored to specific use cases and audio characteristics.