Whisper Diarization

Whisper-diarization is a model that transcribes audio files with speaker diarization. It can take in audio files in base64 or URL format and outputs the transcription with labels for each speaker. Speaker diarization is the process of identifying different speakers in an audio recording.

Use cases

Whisper-diarization has several possible use cases for a technical audience. It can be used in speech recognition systems to accurately transcribe audio recordings with multiple speakers, making it useful for applications in transcription services and voice assistants. It can also facilitate the analysis of conversations in call center recordings or customer service interactions, enabling organizations to extract insights from customer interactions. Additionally, this model can be integrated into video editing software to automatically generate closed captions with speaker labels, improving accessibility for individuals with hearing impairments. Other potential products or practical uses of this model could include voice-controlled meeting transcription software, intelligent voice assistants that can distinguish between different users, and speech analytics tools for research or market analysis purposes.