Speech recognition remains a challenging problem in AI and machine learning. In a step toward solving it, OpenAI today open-sourced Whisper, an automatic speech recognition system that the company claims enables “robust” transcription in multiple languages as well as translation from those languages into English. TechCrunch reports: Countless organizations have developed highly capable speech recognition systems, which sit at the core of software and services from tech giants like Google, Amazon and Meta. But what makes Whisper different, according to OpenAI, is that it was trained on 680,000 hours of multilingual and “multitask” data collected from the web, which lead to improved recognition of unique accents, background noise and technical jargon.

“The primary intended users of [the Whisper] models are AI researchers studying robustness, generalization, capabilities, biases and constraints of the current model. However, Whisper is also potentially quite useful as an automatic speech recognition solution for developers, especially for

  • https://news.slashdot.org/story/22/09/24/2257256/openai-open-sources-whisper-a-multilingual-speech-recognition-system?utm_source=rss1.0mainlinkanon&utm_medium=feed
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  • post author: BeauHD

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