According to Beating Monitor, OpenAI has released two speech-to-text models: GPT Transcribe and GPT Live Transcribe. The former is designed for processing audio files and batch tasks, while the latter is optimized for real-time scenarios such as live subtitles and phone calls. Both models leverage audio context, keywords, and language prompts to significantly improve recognition accuracy for short phrases, numbers, technical terminology, multiple accents, and noisy environments. Artificial Analysis measured GPT Transcribe’s word error rate at 3.31%, a 0.7 percentage point improvement over the previous GPT-4o Transcribe. Pricing has also decreased by 25%, now costing $4.50 per 1,000 minutes of audio.
OpenAI launches two voice-to-text models with a 25% price reduction
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Summary
OpenAI has launched two new voice-to-text models: GPT Transcribe and GPT Live Transcribe. GPT Transcribe processes recorded files and batch tasks, while GPT Live Transcribe supports live captions and phone calls. Both models enhance accuracy for short phrases, numbers, technical terms, accents, and noisy environments. A test by Artificial Analysis showed a 3.31% word error rate for GPT Transcribe, a 0.7-point improvement over GPT-4o Transcribe. Pricing has decreased by 25%, now costing $4.5 per 1,000 minutes of audio. Traders monitoring altcoins may observe ripple effects from OpenAI’s move, and the Fear & Greed Index could respond as AI tools become more accessible.
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