Analyze this audio and determine the optimal transcription strategy.
Consider content type (speech, music, conversation, lecture, podcast, interview, ambient, or mixed), audio quality, language, number of speakers, background noise levels, and whether audio enhancement is needed.
Return as a JSON object with the following structure:
{
  "type": "speech|music|conversation|lecture|podcast|interview|ambient|mixed",
  "confidence": 0.0-1.0,
  "language": "language_code",
  "has_multiple_speakers": true|false,
  "has_background_noise": true|false,
  "enhance_audio": true|false,
  "speaker_diarization": true|false
}

Focus on:
- Primary content type and secondary characteristics
- Audio clarity and quality (signal-to-noise ratio)
- Number of distinct speakers or voices
- Background noise, music, or ambient sounds
- Language and accent detection
- Whether noise reduction or normalization would improve transcription
- Whether speaker separation would be beneficial