Deepgram Debug Bundle

What it does

The deepgram-debug-bundle skill provides tools for debugging audio transcription processes using Deepgram's API. It allows you to inspect intermediate results, analyze errors, and improve the accuracy of transcriptions. This includes examining raw audio segments, confidence scores, and potential issues in the transcription pipeline.

When to use it

• Troubleshooting inaccurate transcriptions: Identify why a specific phrase or word was transcribed incorrectly.
• Analyzing audio quality impact: Determine how noise or other audio artifacts affect transcription accuracy.
• Debugging custom Deepgram configurations: Validate that your custom vocabulary, profanity filters, or other settings are working as expected.
• Improving model performance: Use debugging data to inform training and fine-tuning of Deepgram models.

Key capabilities

• Inspect raw audio segments used for transcription.
• View confidence scores associated with each transcribed word.
• Analyze error messages returned by the Deepgram API.
• Examine intermediate results in the transcription pipeline.

Example prompts

• "Debug this audio file and show me the confidence scores for each word."
• "What was the raw audio segment used to transcribe 'hello'?"
• "Show me any errors encountered during the transcription of this recording."

Tips & gotchas

Requires a Deepgram API key. Understanding basic concepts of audio processing and Deepgram’s API can be helpful for interpreting debugging information.