Analyze this audio and determine the optimal transcription approach based on its complexity.

High complexity audio (requires enhanced processing):
- Multiple overlapping speakers or crosstalk
- Heavy background noise, music, or ambient sounds
- Poor audio quality or low signal-to-noise ratio
- Mixed content (speech + music + sound effects)
- Non-native speakers with strong accents
- Technical jargon or specialized terminology
- Fast-paced speech or multiple languages
- Echoes, distortion, or audio artifacts

Low complexity audio (standard transcription):
- Single clear speaker
- Minimal background noise
- Good audio quality and clear enunciation
- Standard conversational pace
- Native speaker with clear pronunciation
- General vocabulary and common phrases

Moderate complexity audio:
- 2-3 speakers with clear turn-taking
- Light background noise or music
- Acceptable audio quality with occasional unclear segments
- Standard accents with normal speaking pace

Respond with your assessment including:
- Complexity level (low, moderate, high)
- Confidence score (0.0-1.0)
- Recommended preprocessing steps (noise reduction, normalization, enhancement)
- Whether speaker diarization is necessary
- Estimated transcription accuracy without enhancement