Main Purpose
Whisper is an ASR (Automatic Speech Recognition) system developed by OpenAI. It is designed to convert spoken language into written text with high accuracy and robustness.
Key Features
- Robust Speech Recognition: Whisper is trained on a large and diverse dataset, making it more robust and capable of handling various accents, background noise, and technical language.
- Multilingual Support: Whisper can transcribe speech in multiple languages and has been trained on a dataset that includes about a third of non-English audio.
- Speech to Text Translation: Whisper is effective at learning speech-to-text translation and outperforms supervised state-of-the-art models in zero-shot translation tasks.
Use Case
- Speech Transcription: Whisper can be used for transcribing spoken language into written text, making it useful for tasks such as transcription services, voice assistants, and more.
- Speech-to-Text Translation: Whisper's capabilities in speech-to-text translation make it suitable for applications that require translating spoken language into written text in different languages.
Pricing Model:
Pricing:
$69/month
