OpenAI Whisper
An open-source automatic speech recognition model developed by OpenAI that supports multilingual speech-to-text transcription. It can be deployed locally or accessed via API and is recognized for its high accuracy and broad multilingual support.
Core Facts
Timeline (last 90 days)
whisper.cpp is a C/C++ port of the OpenAI Whisper model that can run on ordinary CPUs with low memory usage, and the community provides Node.js bindings (such as nodejs-whisper).
The original Whisper research described training on 680,000 hours of multilingual and multitask supervised data and reported strong zero-shot transfer across benchmarks.
Representative ASR models include OpenAI Whisper and Google Speech-to-Text.
Mainstream ASR solutions include cloud-based APIs such as OpenAI Whisper and Alibaba Cloud Speech Recognition; common domestic TTS solutions include iFlytek, Microsoft Azure, and speech synthesis services from major cloud vendors.
Multilingual speech recognition models such as OpenAI Whisper, Google's USM, and Meta's MMS have lowered the technical barrier for speech-to-text in multilingual mixed-language scenarios.
Muse VoiceTranscribe is priced at $0.18 per hour, supports over 70 languages, and is reportedly lower in price than competitors such as the OpenAI Whisper API and ElevenLabs.
All Facts (6)
Quantized versions of Whisper (such as whisper.cpp and faster-whisper) can run speech recognition in real time on consumer-grade CPUs.
65%Unverifiedwhisper.cpp is a C/C++ port of the OpenAI Whisper model that can run on ordinary CPUs with low memory usage, and the community provides Node.js bindings (such as nodejs-whisper).
50%UnverifiedThe original Whisper research described training on 680,000 hours of multilingual and multitask supervised data and reported strong zero-shot transfer across benchmarks.
50%UnverifiedRepresentative ASR models include OpenAI Whisper and Google Speech-to-Text.
50%UnverifiedMainstream ASR solutions include cloud-based APIs such as OpenAI Whisper and Alibaba Cloud Speech Recognition; common domestic TTS solutions include iFlytek, Microsoft Azure, and speech synthesis services from major cloud vendors.
50%UnverifiedMultilingual speech recognition models such as OpenAI Whisper, Google's USM, and Meta's MMS have lowered the technical barrier for speech-to-text in multilingual mixed-language scenarios.
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