OpenAI speech-to-text and OpenAI Text to Speech Languages
For agents to be useful, people must be able to communicate with them more deeply and intuitively than just text, using natural spoken language
Since the release of OpenAI’s first audio model in 2022, it has made a commitment to enhancing these models’ intelligence, accuracy, and dependability
Across various well-known benchmarks, gpt-4o-transcribe exceeds current Whisper models in Word Error Rate (WER), indicating significant speech-to-text technology development
A steerable gpt-4o-mini-tts model is also being introduced. Developers may now “teach” the model what to say and how to say it, personalising creative storytelling and customer support experiences
Based on GPT4o and GPT4o-mini architectures, OpenAI's new audio models are rigorously trained on audio-centric datasets to optimise performance
By improving its distillation methods, OpenAI can transfer knowledge from its largest audio models to more manageable, smaller models
These advancements mark a step forward in the field of audio modelling, fusing cutting-edge techniques with useful improvements to improve voice application performance
It advises developers to use its speech-to-speech models in the Realtime API when creating low-latency speech-to-speech experiences