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OpenAI has introduced three new voice AI models: gpt-4o-transcribe, gpt-4o-mini-transcribe, and gpt-4o-mini-tts. These models are designed to enhance transcription and speech capabilities, allowing developers to integrate them into their applications via OpenAI's API. Users can also experiment with these models on a demo site, OpenAI.fm, which offers customizable voice options.
The gpt-4o-mini-tts model allows users to modify vocal attributes like pitch and tone, addressing previous concerns about voice imitation. These advancements are particularly beneficial for applications in customer service and transcription, with significant improvements in accuracy reported by companies using OpenAI's technology. The competitive landscape includes other firms like ElevenLabs and Hume AI, which are also innovating in the voice AI space.
• OpenAI launches three new voice AI models for enhanced speech applications.
• New models allow customization of voice attributes for user-specific applications.
Voice AI refers to artificial intelligence systems that can understand and generate human speech, enhancing user interaction.
Transcription in AI involves converting spoken language into written text, improving accessibility and documentation.
Speech recognition technology enables machines to interpret and process human speech, crucial for voice-driven applications.
OpenAI develops advanced AI models, including voice technologies that enhance user interaction and application functionality.
ElevenLabs specializes in speech AI, offering models that support advanced features like diarization for improved transcription accuracy.
Hume AI focuses on emotional AI, providing models that allow for nuanced voice customization based on user input.
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