Sabuhi Model


AI model preview image
The sabuhi-model is an AI model that has been trained to perform audio-to-text transcription. It uses a technique called whisper AI, which involves channel separation and speaker diarization. This means that it can separate different speakers in an audio recording and accurately transcribe their speech into written text. This model is designed for technical audiences who are familiar with AI and audio processing techniques.

Use cases

The sabuhi-model has several potential use cases for technical audiences. For example, it could be used in the field of natural language processing to transcribe and analyze interviews, meetings, or conversations. This could be particularly valuable for researchers or companies that need to analyze large amounts of audio data. Additionally, this model could be used in the development of voice assistants or chatbots to improve the accuracy of speech recognition and transcription. It could also be applied in the field of audio forensics, helping to identify and analyze different voices in recorded conversations. Overall, the sabuhi-model has the potential to be utilized in various products or services aimed at accurately transcribing and analyzing spoken language.



Cost per run
Avg run time
Nvidia T4 GPU

Creator Models

Sabuhi Model$?8,849
Sabuhi Model V2$?27

Similar Models

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Summary of this model and related resources.

Model NameSabuhi Model
Whisper AI with channel separation and speaker diarization
Model LinkView on Replicate
API SpecView on Replicate
Github LinkNo Github link provided
Paper LinkNo paper link provided


How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

Model Rank
Creator Rank


How much does it cost to run this model? How long, on average, does it take to complete a run?

Cost per Run$-
Prediction HardwareNvidia T4 GPU
Average Completion Time-