What is GPT-4o mini TTS
GPT-4o mini TTS is a lightweighttext-to-speechmodel launched by OpenAI. It supports converting text content into natural and fluent speech, while developers can use instructions to control the intonation, emotion, and style of the voice, such as "calm," "encouraging," "serious," etc., to adapt to the needs of different scenarios. The model is based on advanced speech synthesis technology and generates high-quality speech output. It supports multiple languages as well as voices of different genders, ages, and accents, meeting diverse user needs. The pricing of GPT-4o mini TTS is $0.015 per minute.
Main features of GPT-4o mini TTS
- Text-to-speech: Supports a variety of voice control options, such as accent, emotion, intonation, impression, speed, tone, and whisper, generating high-quality speech files.
- Voice options: Provides 11 built-in voices to control the conversion of text into speech, such as alloy, ash, coral, etc.
- Multilingual support: Supports speech synthesis in multiple languages.
- Real-time audio stream processing: Supports the generation and output of real-time audio streams, playing progressively during speech generation without waiting for the complete audio file to be generated.
- Supports multiple output formats: Supports multiple output formats, such as mp3, opus, aac, etc.
Technical principles of GPT-4o mini TTS
- Based on the GPT-4o mini model: A text-to-speech model built on GPT-4o mini (a fast and powerful language model). It converts text into spoken text that sounds natural. The maximum number of input tokens is 2000.
- Emotion and style control: Achieved by introducing additional control signals during model training. The control signals can be special tokens in the text, metadata, or direct instructions. The model learns the relationship between the signals and speech features, and adjusts intonation, emotion, and style when generating speech.
- Multilingual dataset: Uses multilingual datasets during the training phase to learn the speech features and pronunciation patterns of different languages and generate natural speech in multiple languages.
- Real-time audio stream processing: Based on streaming processing technology, the model progressively outputs audio data while generating speech, enabling the model to quickly respond to users' voice instructions and provide a smooth interactive experience, suitable for application scenarios such as real-time voice dialogue systems.
Project address of GPT-4o mini TTS
- Project official website：https://platform.openai.com/docs/guides/text-to-speech
- Online experience Demo：https://www.openai.fm/
Application scenarios of GPT-4o mini TTS
- Intelligent customer service: Provides users with voice-interactive customer service, quickly responding to questions and improving user experience.
- Education and learning: Reads textbooks aloud and provides voice feedback to help students learn and enhance their interest in learning.
- Intelligent assistant: Provides voice interaction services in scenarios such as smart homes and mobile devices, such as schedule reminders and information queries.
- Content creation: Converts text into speech to generate audiobooks, podcasts, voice news, etc.
- Accessibility assistance: Provides voice assistance for visually impaired or reading-impaired users, helping users better obtain information.