whisper-ner-v1

An advanced model for joint speech transcription and entity recognition.

CommonProductProductivitySpeech RecognitionEntity Recognition
Whisper-NER is an innovative model that allows for simultaneous speech transcription and entity recognition. This model supports open-type Named Entity Recognition (NER) and can identify a diverse and evolving set of entities. Whisper-NER is designed as a robust foundational model for automatic speech recognition (ASR) and NER downstream tasks and can be fine-tuned on specific datasets to enhance performance.
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Monthly Visits

19075321

Bounce Rate

45.07%

Page per Visit

5.5

Visit Duration

00:05:32

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