gpt-4o-mini-transcribe
gpt-4o-mini-transcribe is a speech-to-text model launched by OpenAI, and is a streamlined version of gpt-4o-transcribe.
English
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What is gpt-4o-mini-transcribe ?
gpt-4o-mini-transcribe is a speech-to-text model launched by OpenAI, and is a streamlined version of gpt-4o-transcribe. Based on the GPT-4o-mini architecture, the model uses knowledge distillation technology to extract performance from large models to create smaller and more efficient models suitable for devices with limited resources such as mobile devices and embedded systems. Priced at $0.003 per minute, gpt-4o-mini-transcribe has extremely high cost-effectiveness and real-time processing capabilities.
Main functions
Efficient speech transcription: convert speech into text quickly and accurately.
Real-time voice processing: supports real-time voice stream transcription, suitable for application scenarios with instant feedback.
Accurate transcription performance: Finely capture phonological details and significantly reduce transcription errors.
Technical Principles
Knowledge distillation technology: Migrate GPT-4o-transcribe's knowledge to smaller models, reducing computing resource consumption while maintaining high accuracy and performance, suitable for use on resource-constrained devices.
Transformer architecture: Based on Transformer's self-attention mechanism, efficiently process speech sequence data, and improve the accuracy of speech recognition and semantic understanding ability.
Voice activity detection and noise cancellation: Automatically identify effective voice parts, avoid handling mute or background noise, and improve transcription accuracy and reliability.
Project gallery
Official website: OpenAI gpt-4o-mini-transcribe
Application scenarios
Mobile device: convert voice commands into text for easy operation and recording.
Phonetic translation: multilingual transcription to improve the efficiency of cross-language communication.
Car system: voice interaction to improve driving convenience and safety.
Smart Device: Suitable for lightweight devices such as smart watches.
Online education: Transcribing course content in real time to facilitate students' review and understanding.
