OpenAI is setting new standards for speech technology with its new audio APIs, enabling developers to create advanced voice assistants with more natural interactions.
The artificial intelligence industry is experiencing a significant evolution in the field of speech processing. OpenAI has introduced new models for speech-to-text and text-to-speech conversion. The new models GPT-4o-transcribe, GPT-4o-mini-transcribe and GPT-4o-mini-tts are made available via the company’s API and promise significant improvements over previous solutions.
Of particular note is the improved word error rate of the transcription models, which work more reliably even in challenging situations such as with different accents, in noisy environments or at different speaking speeds. The new text-to-speech model also offers improved “controllability”, allowing developers to influence not only what is said, but also how it is said.
The technological advances are based on specialized pre-training with extensive audio data sets, advanced distillation techniques for knowledge transfer, and reinforcement learning to improve transcription accuracy. These innovations are part of a growing industry: the global speech and language recognition market is expected to grow from 8.3 billion dollars in 2021 to 22.3 billion dollars by 2026 – with an annual growth rate of 21.8%.
Integration with OpenAI’s Agents SDK makes it much easier for developers to create speech agents. Applications are diverse, ranging from customer service centers and meeting transcription to educational technologies, content translation, and healthcare and community services.
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OpenAI positions its new models at competitive prices: GPT-4o-transcribe costs about 0.6 cents per minute, while GPT-4o-mini-tts is priced at 1.5 cents per minute. The company claims that its new models outperform existing solutions in terms of accuracy and reliability, especially in demanding scenarios.
Despite technological advances, challenges remain: There are concerns about the potential misuse of synthetic voices and inadvertently following instructions in LLM-based audio models. OpenAI is exploring ways to enable developers to use their own custom voices while maintaining security standards.
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Executive Summary
OpenAI has released new audio API models for speech-to-text and text-to-speech
Models provide improved word error rates and better speech recognition in challenging environments
Technical innovations include specialized pre-training and reinforcement learning
The global speech and language recognition market will grow to 22.3 billion dollars by 2026
Application areas include customer service, education and healthcare
The new models are available at competitive prices: approx. 0.6 cents/minute for transcription and 1.5 cents/minute for speech synthesis
OpenAI plans to enable custom voices while maintaining security standards
